OpenCV  2.4.13.2
Open Source Computer Vision
Namespaces | Classes | Typedefs | Enumerations | Functions | Variables
cv Namespace Reference

Namespaces

 detail
 
 fisheye
 
 flann
 
 gpu
 
 linemod
 
 ocl
 
 of2
 
 ogl
 
 RenderMode
 render mode
 
 superres
 
 videostab
 

Classes

class  _InputArray
 
class  _OutputArray
 
struct  Accumulator
 
struct  Accumulator< char >
 
struct  Accumulator< short >
 
struct  Accumulator< unsigned char >
 
struct  Accumulator< unsigned short >
 
class  AdjusterAdapter
 A feature detector parameter adjuster, this is used by the DynamicAdaptedFeatureDetector and is a wrapper for FeatureDetector that allow them to be adjusted after a detection. More...
 
class  Affine3
 
class  Algorithm
 
class  AlgorithmInfo
 
class  Allocator
 
class  AutoBuffer
 
class  AutoLock
 
class  BackgroundSubtractor
 
class  BackgroundSubtractorGMG
 
class  BackgroundSubtractorMOG
 
class  BackgroundSubtractorMOG2
 
class  BaseColumnFilter
 
class  BaseFilter
 
struct  BaseKeypoint
 
class  BaseRowFilter
 
class  BFMatcher
 
class  BlockedRange
 
class  BOWImgDescriptorExtractor
 
class  BOWKMeansTrainer
 
class  BOWTrainer
 
class  BriefDescriptorExtractor
 
class  BRISK
 
class  BruteForceMatcher
 
class  CalonderDescriptorExtractor
 
class  CascadeClassifier
 
class  CLAHE
 
class  CommandLineParser
 
class  Complex
 
class  CompressedRectilinearPortraitWarper
 
class  CompressedRectilinearWarper
 
class  CvAffinePose
 
class  CvFeatureTracker
 
struct  CvFeatureTrackerParams
 
class  CvHybridTracker
 
struct  CvHybridTrackerParams
 
class  CvMeanShiftTracker
 
struct  CvMeanShiftTrackerParams
 
struct  CvMotionModel
 
class  CylindricalWarper
 
class  CylindricalWarperGpu
 
class  DataDepth
 
class  DataDepth< _Tp * >
 
class  DataDepth< bool >
 
class  DataDepth< char >
 
class  DataDepth< double >
 
class  DataDepth< float >
 
class  DataDepth< int >
 
class  DataDepth< schar >
 
class  DataDepth< short >
 
class  DataDepth< uchar >
 
class  DataDepth< unsigned >
 
class  DataDepth< ushort >
 
class  DataType
 
class  DataType< Affine3< _Tp > >
 
class  DataType< bool >
 
class  DataType< char >
 
class  DataType< Complex< _Tp > >
 
class  DataType< double >
 
class  DataType< float >
 
class  DataType< int >
 
class  DataType< Matx< _Tp, m, n > >
 
class  DataType< Point3_< _Tp > >
 
class  DataType< Point_< _Tp > >
 
class  DataType< Range >
 
class  DataType< Rect_< _Tp > >
 
class  DataType< Scalar_< _Tp > >
 
class  DataType< schar >
 
class  DataType< short >
 
class  DataType< Size_< _Tp > >
 
class  DataType< std::complex< _Tp > >
 
class  DataType< uchar >
 
class  DataType< ushort >
 
class  DataType< Vec< _Tp, cn > >
 
class  DenseFeatureDetector
 
class  DenseOpticalFlow
 
class  DescriptorExtractor
 
class  DescriptorMatcher
 
struct  DetectionROI
 
class  Directory
 
struct  DMatch
 
struct  DrawMatchesFlags
 
class  DynamicAdaptedFeatureDetector
 an adaptively adjusting detector that iteratively detects until the desired number of features are detected. Beware that this is not thread safe - as the adjustment of parameters breaks the const of the detection routine... /TODO Make this const correct and thread safe More...
 
class  EM
 
class  Exception
 
class  FaceRecognizer
 
class  FastAdjuster
 an adjust for the FAST detector. This will basically decrement or increment the threshold by 1 More...
 
class  FastFeatureDetector
 
class  Feature2D
 
class  FeatureDetector
 
class  FeatureEvaluator
 
class  FernClassifier
 
class  FernDescriptorMatcher
 
class  FileNode
 
class  FileNodeIterator
 
class  FileStorage
 
class  FilterEngine
 
class  FisheyeWarper
 
class  FlannBasedMatcher
 
struct  Formatted
 
class  Formatter
 
class  FREAK
 
class  GeneralizedHough
 
class  GenericDescriptorMatcher
 
class  GFTTDetector
 
class  GlArrays
 OpenGL Arrays. More...
 
class  GlBuffer
 Smart pointer for OpenGL buffer memory with reference counting. More...
 
class  GlCamera
 OpenGL camera. More...
 
class  GlFont
 OpenGL Font. More...
 
class  GlTexture
 Smart pointer for OpenGL 2d texture memory with reference counting. More...
 
class  GreaterEq
 
class  GreaterEqIdx
 
class  GridAdaptedFeatureDetector
 
struct  Hamming
 
struct  HammingMultilevel
 
struct  HOGDescriptor
 
class  KalmanFilter
 
class  KDTree
 
class  KeyPoint
 
class  KeyPointsFilter
 
struct  L1
 
struct  L2
 
class  LatentSvmDetector
 
class  LDA
 
class  LDetector
 
class  LessThan
 
class  LessThanIdx
 
class  LevMarqSparse
 
class  LineIterator
 
class  LogPolar_Adjacent
 
class  LogPolar_Interp
 
class  LogPolar_Overlapping
 
class  Mat
 
class  Mat_
 
class  MatAllocator
 
class  MatCommaInitializer_
 
class  MatConstIterator
 
class  MatConstIterator_
 
class  MatExpr
 
class  MatIterator_
 
class  MatOp
 
class  MatOp_Iter_
 
class  Matx
 
struct  Matx_AddOp
 
struct  Matx_DetOp
 
struct  Matx_DetOp< _Tp, 1 >
 
struct  Matx_DetOp< _Tp, 2 >
 
struct  Matx_DetOp< _Tp, 3 >
 
struct  Matx_FastInvOp
 
struct  Matx_FastInvOp< _Tp, 2 >
 
struct  Matx_FastInvOp< _Tp, 3 >
 
struct  Matx_FastSolveOp
 
struct  Matx_FastSolveOp< _Tp, 2, 1 >
 
struct  Matx_FastSolveOp< _Tp, 3, 1 >
 
struct  Matx_MatMulOp
 
struct  Matx_MulOp
 
struct  Matx_ScaleOp
 
struct  Matx_SubOp
 
struct  Matx_TOp
 
class  MatxCommaInitializer
 
class  MercatorWarper
 
class  Mesh3D
 
class  Moments
 raster image moments More...
 
class  MSER
 
class  Mutex
 
class  NAryMatIterator
 
class  Octree
 
class  OneWayDescriptor
 
class  OneWayDescriptorBase
 
class  OneWayDescriptorMatcher
 
class  OneWayDescriptorObject
 
class  OpponentColorDescriptorExtractor
 
class  ORB
 
class  PaniniPortraitWarper
 
class  PaniniWarper
 
class  ParallelLoopBody
 
struct  Param
 
struct  ParamType
 
struct  ParamType< Algorithm >
 
struct  ParamType< bool >
 
struct  ParamType< double >
 
struct  ParamType< float >
 
struct  ParamType< int >
 
struct  ParamType< Mat >
 
struct  ParamType< short >
 
struct  ParamType< string >
 
struct  ParamType< uchar >
 
struct  ParamType< uint64 >
 
struct  ParamType< unsigned >
 
struct  ParamType< vector< Mat > >
 
class  PatchGenerator
 
class  PCA
 
class  PlanarObjectDetector
 
class  PlaneWarper
 
class  PlaneWarperGpu
 
class  Point3_
 
class  Point_
 
class  Ptr
 
class  PyramidAdaptedFeatureDetector
 
class  RandomizedTree
 
class  Range
 
class  Rect_
 
class  Retina
 
class  RNG
 
class  RNG_MT19937
 
class  RotatedRect
 
class  RTreeClassifier
 
struct  RTreeNode
 
struct  RTTIImpl
 
class  Scalar_
 
class  SelfSimDescriptor
 
class  Seq
 
class  SeqIterator
 
class  SIFT
 
class  SimilarRects
 
class  SimpleBlobDetector
 
class  Size_
 
struct  SL2
 
class  SparseMat
 
class  SparseMat_
 
class  SparseMatConstIterator
 
class  SparseMatConstIterator_
 
class  SparseMatIterator
 
class  SparseMatIterator_
 
class  SphericalWarper
 
class  SphericalWarperGpu
 
class  SpinImageModel
 
class  Split
 
class  StarAdjuster
 
class  StarDetector
 
class  StereoBM
 
class  StereographicWarper
 
class  StereoSGBM
 
class  StereoVar
 
class  Stitcher
 
class  Subdiv2D
 
class  SURF
 
class  SurfAdjuster
 
class  SVD
 
class  TermCriteria
 
class  TickMeter
 
class  TLSData
 
class  TLSDataContainer
 
class  TransverseMercatorWarper
 
class  Vec
 
class  VecCommaInitializer
 
class  VecReaderProxy
 
class  VecReaderProxy< _Tp, 1 >
 
class  Vector
 
class  VectorDescriptorMatcher
 
class  VecWriterProxy
 
class  VecWriterProxy< _Tp, 1 >
 
class  VideoCapture
 
class  VideoWriter
 
class  WarperCreator
 
class  WImage
 
class  WImageBuffer
 
class  WImageBufferC
 
class  WImageC
 
class  WImageView
 
class  WImageViewC
 
class  WriteStructContext
 

Typedefs

typedef std::vector< Rect > ConcurrentRectVector
 
typedef std::vector< double > ConcurrentDoubleVector
 
typedef WImage< uchar > WImage_b
 
typedef WImageView< uchar > WImageView_b
 
typedef WImageBuffer< uchar > WImageBuffer_b
 
typedef WImageC< uchar, 1 > WImage1_b
 
typedef WImageViewC< uchar, 1 > WImageView1_b
 
typedef WImageBufferC< uchar, 1 > WImageBuffer1_b
 
typedef WImageC< uchar, 3 > WImage3_b
 
typedef WImageViewC< uchar, 3 > WImageView3_b
 
typedef WImageBufferC< uchar, 3 > WImageBuffer3_b
 
typedef WImage< float > WImage_f
 
typedef WImageView< float > WImageView_f
 
typedef WImageBuffer< float > WImageBuffer_f
 
typedef WImageC< float, 1 > WImage1_f
 
typedef WImageViewC< float, 1 > WImageView1_f
 
typedef WImageBufferC< float, 1 > WImageBuffer1_f
 
typedef WImageC< float, 3 > WImage3_f
 
typedef WImageViewC< float, 3 > WImageView3_f
 
typedef WImageBufferC< float, 3 > WImageBuffer3_f
 
typedef WImage< short > WImage_16s
 
typedef WImageView< short > WImageView_16s
 
typedef WImageBuffer< short > WImageBuffer_16s
 
typedef WImageC< short, 1 > WImage1_16s
 
typedef WImageViewC< short, 1 > WImageView1_16s
 
typedef WImageBufferC< short, 1 > WImageBuffer1_16s
 
typedef WImageC< short, 3 > WImage3_16s
 
typedef WImageViewC< short, 3 > WImageView3_16s
 
typedef WImageBufferC< short, 3 > WImageBuffer3_16s
 
typedef WImage< ushort > WImage_16u
 
typedef WImageView< ushort > WImageView_16u
 
typedef WImageBuffer< ushort > WImageBuffer_16u
 
typedef WImageC< ushort, 1 > WImage1_16u
 
typedef WImageViewC< ushort, 1 > WImageView1_16u
 
typedef WImageBufferC< ushort, 1 > WImageBuffer1_16u
 
typedef WImageC< ushort, 3 > WImage3_16u
 
typedef WImageViewC< ushort, 3 > WImageView3_16u
 
typedef WImageBufferC< ushort, 3 > WImageBuffer3_16u
 
typedef Affine3< float > Affine3f
 
typedef Affine3< double > Affine3d
 
typedef std::string String
 
typedef Mat MatND
 
typedef std::basic_string< wchar_t > WString
 
typedef int(CV_CDECL * ErrorCallback) (int status, const char *func_name, const char *err_msg, const char *file_name, int line, void *userdata)
 
typedef Matx< float, 1, 2 > Matx12f
 
typedef Matx< double, 1, 2 > Matx12d
 
typedef Matx< float, 1, 3 > Matx13f
 
typedef Matx< double, 1, 3 > Matx13d
 
typedef Matx< float, 1, 4 > Matx14f
 
typedef Matx< double, 1, 4 > Matx14d
 
typedef Matx< float, 1, 6 > Matx16f
 
typedef Matx< double, 1, 6 > Matx16d
 
typedef Matx< float, 2, 1 > Matx21f
 
typedef Matx< double, 2, 1 > Matx21d
 
typedef Matx< float, 3, 1 > Matx31f
 
typedef Matx< double, 3, 1 > Matx31d
 
typedef Matx< float, 4, 1 > Matx41f
 
typedef Matx< double, 4, 1 > Matx41d
 
typedef Matx< float, 6, 1 > Matx61f
 
typedef Matx< double, 6, 1 > Matx61d
 
typedef Matx< float, 2, 2 > Matx22f
 
typedef Matx< double, 2, 2 > Matx22d
 
typedef Matx< float, 2, 3 > Matx23f
 
typedef Matx< double, 2, 3 > Matx23d
 
typedef Matx< float, 3, 2 > Matx32f
 
typedef Matx< double, 3, 2 > Matx32d
 
typedef Matx< float, 3, 3 > Matx33f
 
typedef Matx< double, 3, 3 > Matx33d
 
typedef Matx< float, 3, 4 > Matx34f
 
typedef Matx< double, 3, 4 > Matx34d
 
typedef Matx< float, 4, 3 > Matx43f
 
typedef Matx< double, 4, 3 > Matx43d
 
typedef Matx< float, 4, 4 > Matx44f
 
typedef Matx< double, 4, 4 > Matx44d
 
typedef Matx< float, 6, 6 > Matx66f
 
typedef Matx< double, 6, 6 > Matx66d
 
typedef Vec< uchar, 2 > Vec2b
 
typedef Vec< uchar, 3 > Vec3b
 
typedef Vec< uchar, 4 > Vec4b
 
typedef Vec< short, 2 > Vec2s
 
typedef Vec< short, 3 > Vec3s
 
typedef Vec< short, 4 > Vec4s
 
typedef Vec< ushort, 2 > Vec2w
 
typedef Vec< ushort, 3 > Vec3w
 
typedef Vec< ushort, 4 > Vec4w
 
typedef Vec< int, 2 > Vec2i
 
typedef Vec< int, 3 > Vec3i
 
typedef Vec< int, 4 > Vec4i
 
typedef Vec< int, 6 > Vec6i
 
typedef Vec< int, 8 > Vec8i
 
typedef Vec< float, 2 > Vec2f
 
typedef Vec< float, 3 > Vec3f
 
typedef Vec< float, 4 > Vec4f
 
typedef Vec< float, 6 > Vec6f
 
typedef Vec< double, 2 > Vec2d
 
typedef Vec< double, 3 > Vec3d
 
typedef Vec< double, 4 > Vec4d
 
typedef Vec< double, 6 > Vec6d
 
typedef Complex< float > Complexf
 
typedef Complex< double > Complexd
 
typedef Point_< int > Point2i
 
typedef Point2i Point
 
typedef Size_< int > Size2i
 
typedef Size_< double > Size2d
 
typedef Size2i Size
 
typedef Rect_< int > Rect
 
typedef Point_< float > Point2f
 
typedef Point_< double > Point2d
 
typedef Size_< float > Size2f
 
typedef Point3_< int > Point3i
 
typedef Point3_< float > Point3f
 
typedef Point3_< double > Point3d
 
typedef Scalar_< double > Scalar
 
typedef const _InputArray & InputArray
 
typedef InputArray InputArrayOfArrays
 
typedef const _OutputArray & OutputArray
 
typedef OutputArray OutputArrayOfArrays
 
typedef OutputArray InputOutputArray
 
typedef OutputArray InputOutputArrayOfArrays
 
typedef void(* BinaryFunc) (const uchar *src1, size_t step1, const uchar *src2, size_t step2, uchar *dst, size_t step, Size sz, void *)
 
typedef Mat_< uchar > Mat1b
 
typedef Mat_< Vec2b > Mat2b
 
typedef Mat_< Vec3b > Mat3b
 
typedef Mat_< Vec4b > Mat4b
 
typedef Mat_< short > Mat1s
 
typedef Mat_< Vec2s > Mat2s
 
typedef Mat_< Vec3s > Mat3s
 
typedef Mat_< Vec4s > Mat4s
 
typedef Mat_< ushort > Mat1w
 
typedef Mat_< Vec2w > Mat2w
 
typedef Mat_< Vec3w > Mat3w
 
typedef Mat_< Vec4w > Mat4w
 
typedef Mat_< int > Mat1i
 
typedef Mat_< Vec2i > Mat2i
 
typedef Mat_< Vec3i > Mat3i
 
typedef Mat_< Vec4i > Mat4i
 
typedef Mat_< float > Mat1f
 
typedef Mat_< Vec2f > Mat2f
 
typedef Mat_< Vec3f > Mat3f
 
typedef Mat_< Vec4f > Mat4f
 
typedef Mat_< double > Mat1d
 
typedef Mat_< Vec2d > Mat2d
 
typedef Mat_< Vec3d > Mat3d
 
typedef Mat_< Vec4d > Mat4d
 
typedef void(* ConvertData) (const void *from, void *to, int cn)
 
typedef void(* ConvertScaleData) (const void *from, void *to, int cn, double alpha, double beta)
 
typedef Ptr< CvMemStorage > MemStorage
 
typedef void(* MouseCallback) (int event, int x, int y, int flags, void *userdata)
 
typedef void(CV_CDECL * TrackbarCallback) (int pos, void *userdata)
 
typedef void(* OpenGlDrawCallback) (void *userdata)
 
typedef void(CV_CDECL * ButtonCallback) (int state, void *userdata)
 
typedef ORB OrbFeatureDetector
 
typedef ORB OrbDescriptorExtractor
 
typedef MSER MserFeatureDetector
 
typedef GFTTDetector GoodFeaturesToTrackDetector
 
typedef StarDetector StarFeatureDetector
 
typedef Hamming HammingLUT
 
typedef GenericDescriptorMatcher GenericDescriptorMatch
 
typedef VectorDescriptorMatcher VectorDescriptorMatch
 
typedef CvStatModel StatModel
 
typedef CvParamGrid ParamGrid
 
typedef CvNormalBayesClassifier NormalBayesClassifier
 
typedef CvKNearest KNearest
 
typedef CvSVMParams SVMParams
 
typedef CvSVMKernel SVMKernel
 
typedef CvSVMSolver SVMSolver
 
typedef CvSVM SVM
 
typedef CvDTreeParams DTreeParams
 
typedef CvMLData TrainData
 
typedef CvDTree DecisionTree
 
typedef CvForestTree ForestTree
 
typedef CvRTParams RandomTreeParams
 
typedef CvRTrees RandomTrees
 
typedef CvERTreeTrainData ERTreeTRainData
 
typedef CvForestERTree ERTree
 
typedef CvERTrees ERTrees
 
typedef CvBoostParams BoostParams
 
typedef CvBoostTree BoostTree
 
typedef CvBoost Boost
 
typedef CvANN_MLP_TrainParams ANN_MLP_TrainParams
 
typedef CvANN_MLP NeuralNet_MLP
 
typedef CvGBTreesParams GradientBoostingTreeParams
 
typedef CvGBTrees GradientBoostingTrees
 
typedef SIFT SiftFeatureDetector
 
typedef SIFT SiftDescriptorExtractor
 
typedef SURF SurfFeatureDetector
 
typedef SURF SurfDescriptorExtractor
 
typedef CvMotionModel MotionModel
 
typedef CvMeanShiftTrackerParams MeanShiftTrackerParams
 
typedef CvFeatureTrackerParams FeatureTrackerParams
 
typedef CvHybridTrackerParams HybridTrackerParams
 
typedef CvMeanShiftTracker MeanShiftTracker
 
typedef CvFeatureTracker FeatureTracker
 
typedef CvHybridTracker HybridTracker
 
typedef bool(* BundleAdjustCallback) (int iteration, double norm_error, void *user_data)
 
typedef CvEMParams EMParams
 
typedef CvEM ExpectationMaximization
 
typedef LDetector YAPE
 
typedef OneWayDescriptorMatcher OneWayDescriptorMatch
 
typedef FernDescriptorMatcher FernDescriptorMatch
 

Enumerations

enum  {
  DECOMP_LU =0, DECOMP_SVD =1, DECOMP_EIG =2, DECOMP_CHOLESKY =3,
  DECOMP_QR =4, DECOMP_NORMAL =16
}
 
enum  {
  NORM_INF =1, NORM_L1 =2, NORM_L2 =4, NORM_L2SQR =5,
  NORM_HAMMING =6, NORM_HAMMING2 =7, NORM_TYPE_MASK =7, NORM_RELATIVE =8,
  NORM_MINMAX =32
}
 
enum  {
  CMP_EQ =0, CMP_GT =1, CMP_GE =2, CMP_LT =3,
  CMP_LE =4, CMP_NE =5
}
 
enum  { GEMM_1_T =1, GEMM_2_T =2, GEMM_3_T =4 }
 
enum  {
  DFT_INVERSE =1, DFT_SCALE =2, DFT_ROWS =4, DFT_COMPLEX_OUTPUT =16,
  DFT_REAL_OUTPUT =32, DCT_INVERSE = DFT_INVERSE, DCT_ROWS =DFT_ROWS
}
 
enum  {
  DEPTH_MASK_8U = 1 << CV_8U, DEPTH_MASK_8S = 1 << CV_8S, DEPTH_MASK_16U = 1 << CV_16U, DEPTH_MASK_16S = 1 << CV_16S,
  DEPTH_MASK_32S = 1 << CV_32S, DEPTH_MASK_32F = 1 << CV_32F, DEPTH_MASK_64F = 1 << CV_64F, DEPTH_MASK_ALL = (DEPTH_MASK_64F<<1)-1,
  DEPTH_MASK_ALL_BUT_8S = DEPTH_MASK_ALL & ~DEPTH_MASK_8S, DEPTH_MASK_FLT = DEPTH_MASK_32F + DEPTH_MASK_64F
}
 
enum  { MAGIC_MASK =0xFFFF0000, TYPE_MASK =0x00000FFF, DEPTH_MASK =7 }
 
enum  { SORT_EVERY_ROW =0, SORT_EVERY_COLUMN =1, SORT_ASCENDING =0, SORT_DESCENDING =16 }
 
enum  {
  COVAR_SCRAMBLED =0, COVAR_NORMAL =1, COVAR_USE_AVG =2, COVAR_SCALE =4,
  COVAR_ROWS =8, COVAR_COLS =16
}
 
enum  { KMEANS_RANDOM_CENTERS =0, KMEANS_PP_CENTERS =2, KMEANS_USE_INITIAL_LABELS =1 }
 
enum  MarkerTypes {
  MARKER_CROSS = 0, MARKER_TILTED_CROSS = 1, MARKER_STAR = 2, MARKER_DIAMOND = 3,
  MARKER_SQUARE = 4, MARKER_TRIANGLE_UP = 5, MARKER_TRIANGLE_DOWN = 6
}
 Possible set of marker types used for the drawMarker function. More...
 
enum  {
  FONT_HERSHEY_SIMPLEX = 0, FONT_HERSHEY_PLAIN = 1, FONT_HERSHEY_DUPLEX = 2, FONT_HERSHEY_COMPLEX = 3,
  FONT_HERSHEY_TRIPLEX = 4, FONT_HERSHEY_COMPLEX_SMALL = 5, FONT_HERSHEY_SCRIPT_SIMPLEX = 6, FONT_HERSHEY_SCRIPT_COMPLEX = 7,
  FONT_ITALIC = 16
}
 
enum  {
  BORDER_REPLICATE =IPL_BORDER_REPLICATE, BORDER_CONSTANT =IPL_BORDER_CONSTANT, BORDER_REFLECT =IPL_BORDER_REFLECT, BORDER_WRAP =IPL_BORDER_WRAP,
  BORDER_REFLECT_101 =IPL_BORDER_REFLECT_101, BORDER_REFLECT101 =BORDER_REFLECT_101, BORDER_TRANSPARENT =IPL_BORDER_TRANSPARENT, BORDER_DEFAULT =BORDER_REFLECT_101,
  BORDER_ISOLATED =16
}
 various border interpolation methods More...
 
enum  {
  KERNEL_GENERAL =0, KERNEL_SYMMETRICAL =1, KERNEL_ASYMMETRICAL =2, KERNEL_SMOOTH =4,
  KERNEL_INTEGER =8
}
 type of the kernel More...
 
enum  {
  MORPH_ERODE =CV_MOP_ERODE, MORPH_DILATE =CV_MOP_DILATE, MORPH_OPEN =CV_MOP_OPEN, MORPH_CLOSE =CV_MOP_CLOSE,
  MORPH_GRADIENT =CV_MOP_GRADIENT, MORPH_TOPHAT =CV_MOP_TOPHAT, MORPH_BLACKHAT =CV_MOP_BLACKHAT, MORPH_HITMISS
}
 type of morphological operation More...
 
enum  { MORPH_RECT =0, MORPH_CROSS =1, MORPH_ELLIPSE =2 }
 shape of the structuring element More...
 
enum  { GHT_POSITION = 0, GHT_SCALE = 1, GHT_ROTATION = 2 }
 
enum  {
  INTER_NEAREST =CV_INTER_NN, INTER_LINEAR =CV_INTER_LINEAR, INTER_CUBIC =CV_INTER_CUBIC, INTER_AREA =CV_INTER_AREA,
  INTER_LANCZOS4 =CV_INTER_LANCZOS4, INTER_MAX =7, WARP_INVERSE_MAP =CV_WARP_INVERSE_MAP
}
 interpolation algorithm More...
 
enum  { INTER_BITS =5, INTER_BITS2 =INTER_BITS*2, INTER_TAB_SIZE =(1<<INTER_BITS), INTER_TAB_SIZE2 =INTER_TAB_SIZE*INTER_TAB_SIZE }
 
enum  {
  THRESH_BINARY =CV_THRESH_BINARY, THRESH_BINARY_INV =CV_THRESH_BINARY_INV, THRESH_TRUNC =CV_THRESH_TRUNC, THRESH_TOZERO =CV_THRESH_TOZERO,
  THRESH_TOZERO_INV =CV_THRESH_TOZERO_INV, THRESH_MASK =CV_THRESH_MASK, THRESH_OTSU =CV_THRESH_OTSU
}
 type of the threshold operation More...
 
enum  { ADAPTIVE_THRESH_MEAN_C =0, ADAPTIVE_THRESH_GAUSSIAN_C =1 }
 adaptive threshold algorithm More...
 
enum  { PROJ_SPHERICAL_ORTHO = 0, PROJ_SPHERICAL_EQRECT = 1 }
 
enum  { GC_BGD = 0, GC_FGD = 1, GC_PR_BGD = 2, GC_PR_FGD = 3 }
 class of the pixel in GrabCut algorithm More...
 
enum  { GC_INIT_WITH_RECT = 0, GC_INIT_WITH_MASK = 1, GC_EVAL = 2 }
 GrabCut algorithm flags. More...
 
enum  { DIST_LABEL_CCOMP = 0, DIST_LABEL_PIXEL = 1 }
 
enum  { FLOODFILL_FIXED_RANGE = 1 << 16, FLOODFILL_MASK_ONLY = 1 << 17 }
 
enum  {
  COLOR_BGR2BGRA =0, COLOR_RGB2RGBA =COLOR_BGR2BGRA, COLOR_BGRA2BGR =1, COLOR_RGBA2RGB =COLOR_BGRA2BGR,
  COLOR_BGR2RGBA =2, COLOR_RGB2BGRA =COLOR_BGR2RGBA, COLOR_RGBA2BGR =3, COLOR_BGRA2RGB =COLOR_RGBA2BGR,
  COLOR_BGR2RGB =4, COLOR_RGB2BGR =COLOR_BGR2RGB, COLOR_BGRA2RGBA =5, COLOR_RGBA2BGRA =COLOR_BGRA2RGBA,
  COLOR_BGR2GRAY =6, COLOR_RGB2GRAY =7, COLOR_GRAY2BGR =8, COLOR_GRAY2RGB =COLOR_GRAY2BGR,
  COLOR_GRAY2BGRA =9, COLOR_GRAY2RGBA =COLOR_GRAY2BGRA, COLOR_BGRA2GRAY =10, COLOR_RGBA2GRAY =11,
  COLOR_BGR2BGR565 =12, COLOR_RGB2BGR565 =13, COLOR_BGR5652BGR =14, COLOR_BGR5652RGB =15,
  COLOR_BGRA2BGR565 =16, COLOR_RGBA2BGR565 =17, COLOR_BGR5652BGRA =18, COLOR_BGR5652RGBA =19,
  COLOR_GRAY2BGR565 =20, COLOR_BGR5652GRAY =21, COLOR_BGR2BGR555 =22, COLOR_RGB2BGR555 =23,
  COLOR_BGR5552BGR =24, COLOR_BGR5552RGB =25, COLOR_BGRA2BGR555 =26, COLOR_RGBA2BGR555 =27,
  COLOR_BGR5552BGRA =28, COLOR_BGR5552RGBA =29, COLOR_GRAY2BGR555 =30, COLOR_BGR5552GRAY =31,
  COLOR_BGR2XYZ =32, COLOR_RGB2XYZ =33, COLOR_XYZ2BGR =34, COLOR_XYZ2RGB =35,
  COLOR_BGR2YCrCb =36, COLOR_RGB2YCrCb =37, COLOR_YCrCb2BGR =38, COLOR_YCrCb2RGB =39,
  COLOR_BGR2HSV =40, COLOR_RGB2HSV =41, COLOR_BGR2Lab =44, COLOR_RGB2Lab =45,
  COLOR_BayerBG2BGR =46, COLOR_BayerGB2BGR =47, COLOR_BayerRG2BGR =48, COLOR_BayerGR2BGR =49,
  COLOR_BayerBG2RGB =COLOR_BayerRG2BGR, COLOR_BayerGB2RGB =COLOR_BayerGR2BGR, COLOR_BayerRG2RGB =COLOR_BayerBG2BGR, COLOR_BayerGR2RGB =COLOR_BayerGB2BGR,
  COLOR_BGR2Luv =50, COLOR_RGB2Luv =51, COLOR_BGR2HLS =52, COLOR_RGB2HLS =53,
  COLOR_HSV2BGR =54, COLOR_HSV2RGB =55, COLOR_Lab2BGR =56, COLOR_Lab2RGB =57,
  COLOR_Luv2BGR =58, COLOR_Luv2RGB =59, COLOR_HLS2BGR =60, COLOR_HLS2RGB =61,
  COLOR_BayerBG2BGR_VNG =62, COLOR_BayerGB2BGR_VNG =63, COLOR_BayerRG2BGR_VNG =64, COLOR_BayerGR2BGR_VNG =65,
  COLOR_BayerBG2RGB_VNG =COLOR_BayerRG2BGR_VNG, COLOR_BayerGB2RGB_VNG =COLOR_BayerGR2BGR_VNG, COLOR_BayerRG2RGB_VNG =COLOR_BayerBG2BGR_VNG, COLOR_BayerGR2RGB_VNG =COLOR_BayerGB2BGR_VNG,
  COLOR_BGR2HSV_FULL = 66, COLOR_RGB2HSV_FULL = 67, COLOR_BGR2HLS_FULL = 68, COLOR_RGB2HLS_FULL = 69,
  COLOR_HSV2BGR_FULL = 70, COLOR_HSV2RGB_FULL = 71, COLOR_HLS2BGR_FULL = 72, COLOR_HLS2RGB_FULL = 73,
  COLOR_LBGR2Lab = 74, COLOR_LRGB2Lab = 75, COLOR_LBGR2Luv = 76, COLOR_LRGB2Luv = 77,
  COLOR_Lab2LBGR = 78, COLOR_Lab2LRGB = 79, COLOR_Luv2LBGR = 80, COLOR_Luv2LRGB = 81,
  COLOR_BGR2YUV = 82, COLOR_RGB2YUV = 83, COLOR_YUV2BGR = 84, COLOR_YUV2RGB = 85,
  COLOR_BayerBG2GRAY = 86, COLOR_BayerGB2GRAY = 87, COLOR_BayerRG2GRAY = 88, COLOR_BayerGR2GRAY = 89,
  COLOR_YUV2RGB_NV12 = 90, COLOR_YUV2BGR_NV12 = 91, COLOR_YUV2RGB_NV21 = 92, COLOR_YUV2BGR_NV21 = 93,
  COLOR_YUV420sp2RGB = COLOR_YUV2RGB_NV21, COLOR_YUV420sp2BGR = COLOR_YUV2BGR_NV21, COLOR_YUV2RGBA_NV12 = 94, COLOR_YUV2BGRA_NV12 = 95,
  COLOR_YUV2RGBA_NV21 = 96, COLOR_YUV2BGRA_NV21 = 97, COLOR_YUV420sp2RGBA = COLOR_YUV2RGBA_NV21, COLOR_YUV420sp2BGRA = COLOR_YUV2BGRA_NV21,
  COLOR_YUV2RGB_YV12 = 98, COLOR_YUV2BGR_YV12 = 99, COLOR_YUV2RGB_IYUV = 100, COLOR_YUV2BGR_IYUV = 101,
  COLOR_YUV2RGB_I420 = COLOR_YUV2RGB_IYUV, COLOR_YUV2BGR_I420 = COLOR_YUV2BGR_IYUV, COLOR_YUV420p2RGB = COLOR_YUV2RGB_YV12, COLOR_YUV420p2BGR = COLOR_YUV2BGR_YV12,
  COLOR_YUV2RGBA_YV12 = 102, COLOR_YUV2BGRA_YV12 = 103, COLOR_YUV2RGBA_IYUV = 104, COLOR_YUV2BGRA_IYUV = 105,
  COLOR_YUV2RGBA_I420 = COLOR_YUV2RGBA_IYUV, COLOR_YUV2BGRA_I420 = COLOR_YUV2BGRA_IYUV, COLOR_YUV420p2RGBA = COLOR_YUV2RGBA_YV12, COLOR_YUV420p2BGRA = COLOR_YUV2BGRA_YV12,
  COLOR_YUV2GRAY_420 = 106, COLOR_YUV2GRAY_NV21 = COLOR_YUV2GRAY_420, COLOR_YUV2GRAY_NV12 = COLOR_YUV2GRAY_420, COLOR_YUV2GRAY_YV12 = COLOR_YUV2GRAY_420,
  COLOR_YUV2GRAY_IYUV = COLOR_YUV2GRAY_420, COLOR_YUV2GRAY_I420 = COLOR_YUV2GRAY_420, COLOR_YUV420sp2GRAY = COLOR_YUV2GRAY_420, COLOR_YUV420p2GRAY = COLOR_YUV2GRAY_420,
  COLOR_YUV2RGB_UYVY = 107, COLOR_YUV2BGR_UYVY = 108, COLOR_YUV2RGB_Y422 = COLOR_YUV2RGB_UYVY, COLOR_YUV2BGR_Y422 = COLOR_YUV2BGR_UYVY,
  COLOR_YUV2RGB_UYNV = COLOR_YUV2RGB_UYVY, COLOR_YUV2BGR_UYNV = COLOR_YUV2BGR_UYVY, COLOR_YUV2RGBA_UYVY = 111, COLOR_YUV2BGRA_UYVY = 112,
  COLOR_YUV2RGBA_Y422 = COLOR_YUV2RGBA_UYVY, COLOR_YUV2BGRA_Y422 = COLOR_YUV2BGRA_UYVY, COLOR_YUV2RGBA_UYNV = COLOR_YUV2RGBA_UYVY, COLOR_YUV2BGRA_UYNV = COLOR_YUV2BGRA_UYVY,
  COLOR_YUV2RGB_YUY2 = 115, COLOR_YUV2BGR_YUY2 = 116, COLOR_YUV2RGB_YVYU = 117, COLOR_YUV2BGR_YVYU = 118,
  COLOR_YUV2RGB_YUYV = COLOR_YUV2RGB_YUY2, COLOR_YUV2BGR_YUYV = COLOR_YUV2BGR_YUY2, COLOR_YUV2RGB_YUNV = COLOR_YUV2RGB_YUY2, COLOR_YUV2BGR_YUNV = COLOR_YUV2BGR_YUY2,
  COLOR_YUV2RGBA_YUY2 = 119, COLOR_YUV2BGRA_YUY2 = 120, COLOR_YUV2RGBA_YVYU = 121, COLOR_YUV2BGRA_YVYU = 122,
  COLOR_YUV2RGBA_YUYV = COLOR_YUV2RGBA_YUY2, COLOR_YUV2BGRA_YUYV = COLOR_YUV2BGRA_YUY2, COLOR_YUV2RGBA_YUNV = COLOR_YUV2RGBA_YUY2, COLOR_YUV2BGRA_YUNV = COLOR_YUV2BGRA_YUY2,
  COLOR_YUV2GRAY_UYVY = 123, COLOR_YUV2GRAY_YUY2 = 124, COLOR_YUV2GRAY_Y422 = COLOR_YUV2GRAY_UYVY, COLOR_YUV2GRAY_UYNV = COLOR_YUV2GRAY_UYVY,
  COLOR_YUV2GRAY_YVYU = COLOR_YUV2GRAY_YUY2, COLOR_YUV2GRAY_YUYV = COLOR_YUV2GRAY_YUY2, COLOR_YUV2GRAY_YUNV = COLOR_YUV2GRAY_YUY2, COLOR_RGBA2mRGBA = 125,
  COLOR_mRGBA2RGBA = 126, COLOR_RGB2YUV_I420 = 127, COLOR_BGR2YUV_I420 = 128, COLOR_RGB2YUV_IYUV = COLOR_RGB2YUV_I420,
  COLOR_BGR2YUV_IYUV = COLOR_BGR2YUV_I420, COLOR_RGBA2YUV_I420 = 129, COLOR_BGRA2YUV_I420 = 130, COLOR_RGBA2YUV_IYUV = COLOR_RGBA2YUV_I420,
  COLOR_BGRA2YUV_IYUV = COLOR_BGRA2YUV_I420, COLOR_RGB2YUV_YV12 = 131, COLOR_BGR2YUV_YV12 = 132, COLOR_RGBA2YUV_YV12 = 133,
  COLOR_BGRA2YUV_YV12 = 134, COLOR_COLORCVT_MAX = 135
}
 
enum  {
  TM_SQDIFF =0, TM_SQDIFF_NORMED =1, TM_CCORR =2, TM_CCORR_NORMED =3,
  TM_CCOEFF =4, TM_CCOEFF_NORMED =5
}
 type of the template matching operation More...
 
enum  {
  RETR_EXTERNAL =CV_RETR_EXTERNAL, RETR_LIST =CV_RETR_LIST, RETR_CCOMP =CV_RETR_CCOMP, RETR_TREE =CV_RETR_TREE,
  RETR_FLOODFILL =CV_RETR_FLOODFILL
}
 mode of the contour retrieval algorithm More...
 
enum  { CHAIN_APPROX_NONE =CV_CHAIN_APPROX_NONE, CHAIN_APPROX_SIMPLE =CV_CHAIN_APPROX_SIMPLE, CHAIN_APPROX_TC89_L1 =CV_CHAIN_APPROX_TC89_L1, CHAIN_APPROX_TC89_KCOS =CV_CHAIN_APPROX_TC89_KCOS }
 the contour approximation algorithm More...
 
enum  {
  WINDOW_NORMAL = CV_WINDOW_NORMAL, WINDOW_AUTOSIZE = CV_WINDOW_AUTOSIZE, WINDOW_OPENGL = CV_WINDOW_OPENGL, WND_PROP_FULLSCREEN = CV_WND_PROP_FULLSCREEN,
  WND_PROP_AUTOSIZE = CV_WND_PROP_AUTOSIZE, WND_PROP_ASPECT_RATIO = CV_WND_PROP_ASPECTRATIO, WND_PROP_OPENGL = CV_WND_PROP_OPENGL
}
 
enum  {
  EVENT_MOUSEMOVE =0, EVENT_LBUTTONDOWN =1, EVENT_RBUTTONDOWN =2, EVENT_MBUTTONDOWN =3,
  EVENT_LBUTTONUP =4, EVENT_RBUTTONUP =5, EVENT_MBUTTONUP =6, EVENT_LBUTTONDBLCLK =7,
  EVENT_RBUTTONDBLCLK =8, EVENT_MBUTTONDBLCLK =9
}
 
enum  {
  EVENT_FLAG_LBUTTON =1, EVENT_FLAG_RBUTTON =2, EVENT_FLAG_MBUTTON =4, EVENT_FLAG_CTRLKEY =8,
  EVENT_FLAG_SHIFTKEY =16, EVENT_FLAG_ALTKEY =32
}
 
enum  {
  IMREAD_UNCHANGED =-1, IMREAD_GRAYSCALE =0, IMREAD_COLOR =1, IMREAD_ANYDEPTH =2,
  IMREAD_ANYCOLOR =4
}
 
enum  {
  IMWRITE_JPEG_QUALITY =1, IMWRITE_PNG_COMPRESSION =16, IMWRITE_PNG_STRATEGY =17, IMWRITE_PNG_BILEVEL =18,
  IMWRITE_PNG_STRATEGY_DEFAULT =0, IMWRITE_PNG_STRATEGY_FILTERED =1, IMWRITE_PNG_STRATEGY_HUFFMAN_ONLY =2, IMWRITE_PNG_STRATEGY_RLE =3,
  IMWRITE_PNG_STRATEGY_FIXED =4, IMWRITE_PXM_BINARY =32
}
 
enum  { OPTFLOW_USE_INITIAL_FLOW = 4, OPTFLOW_LK_GET_MIN_EIGENVALS = 8, OPTFLOW_FARNEBACK_GAUSSIAN = 256 }
 
enum  { LMEDS = 4, RANSAC = 8 }
 type of the robust estimation algorithm More...
 
enum  { ITERATIVE =CV_ITERATIVE, EPNP =CV_EPNP, P3P =CV_P3P }
 computes the camera pose from a few 3D points and the corresponding projections. The outliers are not handled. More...
 
enum  { CALIB_CB_ADAPTIVE_THRESH = 1, CALIB_CB_NORMALIZE_IMAGE = 2, CALIB_CB_FILTER_QUADS = 4, CALIB_CB_FAST_CHECK = 8 }
 
enum  { CALIB_CB_SYMMETRIC_GRID = 1, CALIB_CB_ASYMMETRIC_GRID = 2, CALIB_CB_CLUSTERING = 4 }
 
enum  {
  CALIB_USE_INTRINSIC_GUESS = 1, CALIB_FIX_ASPECT_RATIO = 2, CALIB_FIX_PRINCIPAL_POINT = 4, CALIB_ZERO_TANGENT_DIST = 8,
  CALIB_FIX_FOCAL_LENGTH = 16, CALIB_FIX_K1 = 32, CALIB_FIX_K2 = 64, CALIB_FIX_K3 = 128,
  CALIB_FIX_K4 = 2048, CALIB_FIX_K5 = 4096, CALIB_FIX_K6 = 8192, CALIB_RATIONAL_MODEL = 16384,
  CALIB_FIX_INTRINSIC = 256, CALIB_SAME_FOCAL_LENGTH = 512, CALIB_ZERO_DISPARITY = 1024
}
 
enum  { FM_7POINT = 1, FM_8POINT = 2, FM_LMEDS = 4, FM_RANSAC = 8 }
 the algorithm for finding fundamental matrix More...
 
enum  { CASCADE_DO_CANNY_PRUNING =1, CASCADE_SCALE_IMAGE =2, CASCADE_FIND_BIGGEST_OBJECT =4, CASCADE_DO_ROUGH_SEARCH =8 }
 
enum  { INPAINT_NS =CV_INPAINT_NS, INPAINT_TELEA =CV_INPAINT_TELEA }
 the inpainting algorithm More...
 
enum  RETINA_COLORSAMPLINGMETHOD { RETINA_COLOR_RANDOM, RETINA_COLOR_DIAGONAL, RETINA_COLOR_BAYER }
 
enum  { ROTATION = 1, TRANSLATION = 2, RIGID_BODY_MOTION = 4 }
 
enum  {
  COLORMAP_AUTUMN = 0, COLORMAP_BONE = 1, COLORMAP_JET = 2, COLORMAP_WINTER = 3,
  COLORMAP_RAINBOW = 4, COLORMAP_OCEAN = 5, COLORMAP_SUMMER = 6, COLORMAP_SPRING = 7,
  COLORMAP_COOL = 8, COLORMAP_HSV = 9, COLORMAP_PINK = 10, COLORMAP_HOT = 11
}
 

Functions

template<>
uchar saturate_cast< uchar > (schar v)
 
template<>
uchar saturate_cast< uchar > (ushort v)
 
template<>
uchar saturate_cast< uchar > (int v)
 
template<>
uchar saturate_cast< uchar > (short v)
 
template<>
uchar saturate_cast< uchar > (unsigned v)
 
template<>
uchar saturate_cast< uchar > (float v)
 
template<>
uchar saturate_cast< uchar > (double v)
 
template<>
schar saturate_cast< schar > (uchar v)
 
template<>
schar saturate_cast< schar > (ushort v)
 
template<>
schar saturate_cast< schar > (int v)
 
template<>
schar saturate_cast< schar > (short v)
 
template<>
schar saturate_cast< schar > (unsigned v)
 
template<>
schar saturate_cast< schar > (float v)
 
template<>
schar saturate_cast< schar > (double v)
 
template<>
ushort saturate_cast< ushort > (schar v)
 
template<>
ushort saturate_cast< ushort > (short v)
 
template<>
ushort saturate_cast< ushort > (int v)
 
template<>
ushort saturate_cast< ushort > (unsigned v)
 
template<>
ushort saturate_cast< ushort > (float v)
 
template<>
ushort saturate_cast< ushort > (double v)
 
template<>
short saturate_cast< short > (ushort v)
 
template<>
short saturate_cast< short > (int v)
 
template<>
short saturate_cast< short > (unsigned v)
 
template<>
short saturate_cast< short > (float v)
 
template<>
short saturate_cast< short > (double v)
 
template<>
int saturate_cast< int > (float v)
 
template<>
int saturate_cast< int > (double v)
 
template<>
unsigned saturate_cast< unsigned > (float v)
 
template<>
unsigned saturate_cast< unsigned > (double v)
 
int fast_abs (uchar v)
 
int fast_abs (schar v)
 
int fast_abs (ushort v)
 
int fast_abs (short v)
 
int fast_abs (int v)
 
float fast_abs (float v)
 
double fast_abs (double v)
 
int LU (float *A, size_t astep, int m, float *b, size_t bstep, int n)
 
int LU (double *A, size_t astep, int m, double *b, size_t bstep, int n)
 
bool Cholesky (float *A, size_t astep, int m, float *b, size_t bstep, int n)
 
bool Cholesky (double *A, size_t astep, int m, double *b, size_t bstep, int n)
 
float normL2Sqr_ (const float *a, const float *b, int n)
 
float normL1_ (const float *a, const float *b, int n)
 
int normL1_ (const uchar *a, const uchar *b, int n)
 
int normHamming (const uchar *a, const uchar *b, int n)
 
int normHamming (const uchar *a, const uchar *b, int n, int cellSize)
 
template<>
float normL2Sqr (const float *a, const float *b, int n)
 
template<>
float normL1 (const float *a, const float *b, int n)
 
template<>
int normL1 (const uchar *a, const uchar *b, int n)
 
template<typename _Tp >
Vec< _Tp, 2 > conjugate (const Vec< _Tp, 2 > &v)
 
template<typename _Tp >
Vec< _Tp, 4 > conjugate (const Vec< _Tp, 4 > &v)
 
template<typename _Tp >
Vec< _Tp, 4 > operator* (const Vec< _Tp, 4 > &v1, const Vec< _Tp, 4 > &v2)
 
template<typename _Tp >
Vec< _Tp, 4 > & operator*= (Vec< _Tp, 4 > &v1, const Vec< _Tp, 4 > &v2)
 
template<typename _Tp , int cn>
Vec< _Tp, cn > normalize (const Vec< _Tp, cn > &v)
 
template<typename _Tp >
DataType< _Tp >::work_type dot (const Vector< _Tp > &v1, const Vector< _Tp > &v2)
 
template<typename T >
Ptr< T > makePtr ()
 
template<typename T , typename A1 >
Ptr< T > makePtr (const A1 &a1)
 
template<typename T , typename A1 , typename A2 >
Ptr< T > makePtr (const A1 &a1, const A2 &a2)
 
template<typename T , typename A1 , typename A2 , typename A3 >
Ptr< T > makePtr (const A1 &a1, const A2 &a2, const A3 &a3)
 
template<typename T , typename A1 , typename A2 , typename A3 , typename A4 >
Ptr< T > makePtr (const A1 &a1, const A2 &a2, const A3 &a3, const A4 &a4)
 
template<typename T , typename A1 , typename A2 , typename A3 , typename A4 , typename A5 >
Ptr< T > makePtr (const A1 &a1, const A2 &a2, const A3 &a3, const A4 &a4, const A5 &a5)
 
template<typename T , typename A1 , typename A2 , typename A3 , typename A4 , typename A5 , typename A6 >
Ptr< T > makePtr (const A1 &a1, const A2 &a2, const A3 &a3, const A4 &a4, const A5 &a5, const A6 &a6)
 
template<typename T , typename A1 , typename A2 , typename A3 , typename A4 , typename A5 , typename A6 , typename A7 >
Ptr< T > makePtr (const A1 &a1, const A2 &a2, const A3 &a3, const A4 &a4, const A5 &a5, const A6 &a6, const A7 &a7)
 
template<typename T , typename A1 , typename A2 , typename A3 , typename A4 , typename A5 , typename A6 , typename A7 , typename A8 >
Ptr< T > makePtr (const A1 &a1, const A2 &a2, const A3 &a3, const A4 &a4, const A5 &a5, const A6 &a6, const A7 &a7, const A8 &a8)
 
template<typename T , typename A1 , typename A2 , typename A3 , typename A4 , typename A5 , typename A6 , typename A7 , typename A8 , typename A9 >
Ptr< T > makePtr (const A1 &a1, const A2 &a2, const A3 &a3, const A4 &a4, const A5 &a5, const A6 &a6, const A7 &a7, const A8 &a8, const A9 &a9)
 
template<typename T , typename A1 , typename A2 , typename A3 , typename A4 , typename A5 , typename A6 , typename A7 , typename A8 , typename A9 , typename A10 >
Ptr< T > makePtr (const A1 &a1, const A2 &a2, const A3 &a3, const A4 &a4, const A5 &a5, const A6 &a6, const A7 &a7, const A8 &a8, const A9 &a9, const A10 &a10)
 
void write (FileStorage &fs, const string &name, int value)
 
void write (FileStorage &fs, const string &name, float value)
 
void write (FileStorage &fs, const string &name, double value)
 
void write (FileStorage &fs, const string &name, const string &value)
 
template<typename _Tp >
void write (FileStorage &fs, const _Tp &value)
 
void writeScalar (FileStorage &fs, int value)
 
void writeScalar (FileStorage &fs, float value)
 
void writeScalar (FileStorage &fs, double value)
 
void writeScalar (FileStorage &fs, const string &value)
 
template<>
void write (FileStorage &fs, const int &value)
 
template<>
void write (FileStorage &fs, const float &value)
 
template<>
void write (FileStorage &fs, const double &value)
 
template<>
void write (FileStorage &fs, const string &value)
 
template<typename _Tp >
void write (FileStorage &fs, const Point_< _Tp > &pt)
 
template<typename _Tp >
void write (FileStorage &fs, const Point3_< _Tp > &pt)
 
template<typename _Tp >
void write (FileStorage &fs, const Size_< _Tp > &sz)
 
template<typename _Tp >
void write (FileStorage &fs, const Complex< _Tp > &c)
 
template<typename _Tp >
void write (FileStorage &fs, const Rect_< _Tp > &r)
 
template<typename _Tp , int cn>
void write (FileStorage &fs, const Vec< _Tp, cn > &v)
 
template<typename _Tp >
void write (FileStorage &fs, const Scalar_< _Tp > &s)
 
void write (FileStorage &fs, const Range &r)
 
template<typename _Tp >
void write (FileStorage &fs, const string &name, const Point_< _Tp > &pt)
 
template<typename _Tp >
void write (FileStorage &fs, const string &name, const Point3_< _Tp > &pt)
 
template<typename _Tp >
void write (FileStorage &fs, const string &name, const Size_< _Tp > &sz)
 
template<typename _Tp >
void write (FileStorage &fs, const string &name, const Complex< _Tp > &c)
 
template<typename _Tp >
void write (FileStorage &fs, const string &name, const Rect_< _Tp > &r)
 
template<typename _Tp , int cn>
void write (FileStorage &fs, const string &name, const Vec< _Tp, cn > &v)
 
template<typename _Tp >
void write (FileStorage &fs, const string &name, const Scalar_< _Tp > &s)
 
void write (FileStorage &fs, const string &name, const Range &r)
 
void write (FileStorage &fs, const string &name, const Mat &value)
 
void write (FileStorage &fs, const string &name, const SparseMat &value)
 
FileStorage & operator<< (FileStorage &fs, const string &str)
 
void read (const FileNode &node, Mat &mat, const Mat &default_mat=Mat())
 
void read (const FileNode &node, SparseMat &mat, const SparseMat &default_mat=SparseMat())
 
template<typename _Tp , class _LT >
void sort (vector< _Tp > &vec, _LT LT=_LT())
 
template<typename _Tp , class _EqPredicate >
int partition (const vector< _Tp > &_vec, vector< int > &labels, _EqPredicate predicate=_EqPredicate())
 
schar * seqPush (CvSeq *seq, const void *element=0)
 
schar * seqPushFront (CvSeq *seq, const void *element=0)
 
void seqPop (CvSeq *seq, void *element=0)
 
void seqPopFront (CvSeq *seq, void *element=0)
 
void seqPopMulti (CvSeq *seq, void *elements, int count, int in_front=0)
 
void seqRemove (CvSeq *seq, int index)
 
void clearSeq (CvSeq *seq)
 
schar * getSeqElem (const CvSeq *seq, int index)
 
void seqRemoveSlice (CvSeq *seq, CvSlice slice)
 
void seqInsertSlice (CvSeq *seq, int before_index, const CvArr *from_arr)
 
template<typename _Tp >
ptrdiff_t operator- (const SeqIterator< _Tp > &a, const SeqIterator< _Tp > &b)
 
template<typename _Tp >
bool operator== (const SeqIterator< _Tp > &a, const SeqIterator< _Tp > &b)
 
template<typename _Tp >
bool operator!= (const SeqIterator< _Tp > &a, const SeqIterator< _Tp > &b)
 
template<typename _Tp , int m, int n>
std::ostream & operator<< (std::ostream &out, const Matx< _Tp, m, n > &matx)
 
template<typename _Tp >
std::ostream & operator<< (std::ostream &out, const Point_< _Tp > &p)
 
template<typename _Tp >
std::ostream & operator<< (std::ostream &out, const Point3_< _Tp > &p)
 
template<typename _Tp , int n>
std::ostream & operator<< (std::ostream &out, const Vec< _Tp, n > &vec)
 
template<typename _Tp >
std::ostream & operator<< (std::ostream &out, const Size_< _Tp > &size)
 
template<typename _Tp >
std::ostream & operator<< (std::ostream &out, const Rect_< _Tp > &rect)
 
template<typename T1 , typename T2 , typename Op >
void process (const Mat_< T1 > &m1, Mat_< T2 > &m2, Op op)
 
template<typename T1 , typename T2 , typename T3 , typename Op >
void process (const Mat_< T1 > &m1, const Mat_< T2 > &m2, Mat_< T3 > &m3, Op op)
 
MatExpr operator+ (const Mat &a, const Mat &b)
 
MatExpr operator+ (const Mat &a, const Scalar &s)
 
MatExpr operator+ (const Scalar &s, const Mat &a)
 
MatExpr operator+ (const MatExpr &e, const Mat &m)
 
MatExpr operator+ (const Mat &m, const MatExpr &e)
 
MatExpr operator+ (const MatExpr &e, const Scalar &s)
 
MatExpr operator+ (const Scalar &s, const MatExpr &e)
 
MatExpr operator+ (const MatExpr &e1, const MatExpr &e2)
 
MatExpr operator- (const Mat &a, const Mat &b)
 
MatExpr operator- (const Mat &a, const Scalar &s)
 
MatExpr operator- (const Scalar &s, const Mat &a)
 
MatExpr operator- (const MatExpr &e, const Mat &m)
 
MatExpr operator- (const Mat &m, const MatExpr &e)
 
MatExpr operator- (const MatExpr &e, const Scalar &s)
 
MatExpr operator- (const Scalar &s, const MatExpr &e)
 
MatExpr operator- (const MatExpr &e1, const MatExpr &e2)
 
MatExpr operator- (const Mat &m)
 
MatExpr operator- (const MatExpr &e)
 
MatExpr operator* (const Mat &a, const Mat &b)
 
MatExpr operator* (const Mat &a, double s)
 
MatExpr operator* (double s, const Mat &a)
 
MatExpr operator* (const MatExpr &e, const Mat &m)
 
MatExpr operator* (const Mat &m, const MatExpr &e)
 
MatExpr operator* (const MatExpr &e, double s)
 
MatExpr operator* (double s, const MatExpr &e)
 
MatExpr operator* (const MatExpr &e1, const MatExpr &e2)
 
MatExpr operator/ (const Mat &a, const Mat &b)
 
MatExpr operator/ (const Mat &a, double s)
 
MatExpr operator/ (double s, const Mat &a)
 
MatExpr operator/ (const MatExpr &e, const Mat &m)
 
MatExpr operator/ (const Mat &m, const MatExpr &e)
 
MatExpr operator/ (const MatExpr &e, double s)
 
MatExpr operator/ (double s, const MatExpr &e)
 
MatExpr operator/ (const MatExpr &e1, const MatExpr &e2)
 
MatExpr operator< (const Mat &a, const Mat &b)
 
MatExpr operator< (const Mat &a, double s)
 
MatExpr operator< (double s, const Mat &a)
 
MatExpr operator<= (const Mat &a, const Mat &b)
 
MatExpr operator<= (const Mat &a, double s)
 
MatExpr operator<= (double s, const Mat &a)
 
MatExpr operator== (const Mat &a, const Mat &b)
 
MatExpr operator== (const Mat &a, double s)
 
MatExpr operator== (double s, const Mat &a)
 
MatExpr operator!= (const Mat &a, const Mat &b)
 
MatExpr operator!= (const Mat &a, double s)
 
MatExpr operator!= (double s, const Mat &a)
 
MatExpr operator>= (const Mat &a, const Mat &b)
 
MatExpr operator>= (const Mat &a, double s)
 
MatExpr operator>= (double s, const Mat &a)
 
MatExpr operator> (const Mat &a, const Mat &b)
 
MatExpr operator> (const Mat &a, double s)
 
MatExpr operator> (double s, const Mat &a)
 
MatExpr min (const Mat &a, const Mat &b)
 
MatExpr min (const Mat &a, double s)
 
MatExpr min (double s, const Mat &a)
 
MatExpr max (const Mat &a, const Mat &b)
 
MatExpr max (const Mat &a, double s)
 
MatExpr max (double s, const Mat &a)
 
MatExpr operator& (const Mat &a, const Mat &b)
 
MatExpr operator& (const Mat &a, const Scalar &s)
 
MatExpr operator& (const Scalar &s, const Mat &a)
 
MatExpr operator| (const Mat &a, const Mat &b)
 
MatExpr operator| (const Mat &a, const Scalar &s)
 
MatExpr operator| (const Scalar &s, const Mat &a)
 
MatExpr operator^ (const Mat &a, const Mat &b)
 
MatExpr operator^ (const Mat &a, const Scalar &s)
 
MatExpr operator^ (const Scalar &s, const Mat &a)
 
MatExpr operator~ (const Mat &m)
 
MatExpr abs (const Mat &m)
 
MatExpr abs (const MatExpr &e)
 
template<typename _Tp >
void split (const Mat &src, vector< Mat_< _Tp > > &mv)
 
ptrdiff_t operator- (const MatConstIterator &b, const MatConstIterator &a)
 
const char * currentParallelFramework ()
 
void render (const GlTexture &tex, Rect_< double > wndRect=Rect_< double >(0.0, 0.0, 1.0, 1.0), Rect_< double > texRect=Rect_< double >(0.0, 0.0, 1.0, 1.0))
 render functions More...
 
void render (const GlArrays &arr, int mode=RenderMode::POINTS, Scalar color=Scalar::all(255))
 render OpenGL arrays More...
 
void render (const std::string &str, const Ptr< GlFont > &font, Scalar color, Point2d pos)
 
template<typename _Tp , int _rows, int _cols, int _options, int _maxRows, int _maxCols>
void eigen2cv (const Eigen::Matrix< _Tp, _rows, _cols, _options, _maxRows, _maxCols > &src, Mat &dst)
 
template<typename _Tp , int _rows, int _cols, int _options, int _maxRows, int _maxCols>
void cv2eigen (const Mat &src, Eigen::Matrix< _Tp, _rows, _cols, _options, _maxRows, _maxCols > &dst)
 
template<typename _Tp , int _rows, int _cols, int _options, int _maxRows, int _maxCols>
void cv2eigen (const Matx< _Tp, _rows, _cols > &src, Eigen::Matrix< _Tp, _rows, _cols, _options, _maxRows, _maxCols > &dst)
 
template<typename _Tp >
void cv2eigen (const Mat &src, Eigen::Matrix< _Tp, Eigen::Dynamic, Eigen::Dynamic > &dst)
 
template<typename _Tp , int _rows, int _cols>
void cv2eigen (const Matx< _Tp, _rows, _cols > &src, Eigen::Matrix< _Tp, Eigen::Dynamic, Eigen::Dynamic > &dst)
 
template<typename _Tp >
void cv2eigen (const Mat &src, Eigen::Matrix< _Tp, Eigen::Dynamic, 1 > &dst)
 
template<typename _Tp , int _rows>
void cv2eigen (const Matx< _Tp, _rows, 1 > &src, Eigen::Matrix< _Tp, Eigen::Dynamic, 1 > &dst)
 
template<typename _Tp >
void cv2eigen (const Mat &src, Eigen::Matrix< _Tp, 1, Eigen::Dynamic > &dst)
 
template<typename _Tp , int _cols>
void cv2eigen (const Matx< _Tp, 1, _cols > &src, Eigen::Matrix< _Tp, 1, Eigen::Dynamic > &dst)
 
string fromUtf16 (const WString &str)
 
WString toUtf16 (const string &str)
 
string format (const char *fmt,...)
 
string tempfile (const char *suffix CV_DEFAULT(0))
 
void error (const Exception &exc)
 Signals an error and raises the exception. More...
 
bool setBreakOnError (bool flag)
 Sets/resets the break-on-error mode. More...
 
ErrorCallback redirectError (ErrorCallback errCallback, void *userdata=0, void **prevUserdata=0)
 Sets the new error handler and the optional user data. More...
 
void glob (String pattern, std::vector< String > &result, bool recursive=false)
 
void setNumThreads (int nthreads)
 
int getNumThreads ()
 
int getThreadNum ()
 
const string & getBuildInformation ()
 
int64 getTickCount ()
 Returns the number of ticks. More...
 
double getTickFrequency ()
 
int64 getCPUTickCount ()
 
bool checkHardwareSupport (int feature)
 
int getNumberOfCPUs ()
 returns the number of CPUs (including hyper-threading) More...
 
void * fastMalloc (size_t bufSize)
 
void fastFree (void *ptr)
 
void setUseOptimized (bool onoff)
 
bool useOptimized ()
 
void scalarToRawData (const Scalar &s, void *buf, int type, int unroll_to=0)
 
OutputArray noArray ()
 
BinaryFunc getConvertFunc (int sdepth, int ddepth)
 
BinaryFunc getConvertScaleFunc (int sdepth, int ddepth)
 
BinaryFunc getCopyMaskFunc (size_t esz)
 
void swap (Mat &a, Mat &b)
 swaps two matrices More...
 
Mat cvarrToMat (const CvArr *arr, bool copyData=false, bool allowND=true, int coiMode=0)
 converts array (CvMat or IplImage) to cv::Mat More...
 
void extractImageCOI (const CvArr *arr, OutputArray coiimg, int coi=-1)
 extracts Channel of Interest from CvMat or IplImage and makes cv::Mat out of it. More...
 
void insertImageCOI (InputArray coiimg, CvArr *arr, int coi=-1)
 inserts single-channel cv::Mat into a multi-channel CvMat or IplImage More...
 
void add (InputArray src1, InputArray src2, OutputArray dst, InputArray mask=noArray(), int dtype=-1)
 adds one matrix to another (dst = src1 + src2) More...
 
void subtract (InputArray src1, InputArray src2, OutputArray dst, InputArray mask=noArray(), int dtype=-1)
 subtracts one matrix from another (dst = src1 - src2) More...
 
void multiply (InputArray src1, InputArray src2, OutputArray dst, double scale=1, int dtype=-1)
 computes element-wise weighted product of the two arrays (dst = scale*src1*src2) More...
 
void divide (InputArray src1, InputArray src2, OutputArray dst, double scale=1, int dtype=-1)
 computes element-wise weighted quotient of the two arrays (dst = scale*src1/src2) More...
 
void divide (double scale, InputArray src2, OutputArray dst, int dtype=-1)
 computes element-wise weighted reciprocal of an array (dst = scale/src2) More...
 
void scaleAdd (InputArray src1, double alpha, InputArray src2, OutputArray dst)
 adds scaled array to another one (dst = alpha*src1 + src2) More...
 
void addWeighted (InputArray src1, double alpha, InputArray src2, double beta, double gamma, OutputArray dst, int dtype=-1)
 computes weighted sum of two arrays (dst = alpha*src1 + beta*src2 + gamma) More...
 
void convertScaleAbs (InputArray src, OutputArray dst, double alpha=1, double beta=0)
 scales array elements, computes absolute values and converts the results to 8-bit unsigned integers: dst(i)=saturate_cast<uchar>abs(src(i)*alpha+beta) More...
 
void LUT (InputArray src, InputArray lut, OutputArray dst, int interpolation=0)
 transforms array of numbers using a lookup table: dst(i)=lut(src(i)) More...
 
 CV_EXPORTS_AS (sumElems) Scalar sum(InputArray src)
 computes sum of array elements More...
 
int countNonZero (InputArray src)
 computes the number of nonzero array elements More...
 
void findNonZero (InputArray src, OutputArray idx)
 returns the list of locations of non-zero pixels More...
 
Scalar mean (InputArray src, InputArray mask=noArray())
 computes mean value of selected array elements More...
 
void meanStdDev (InputArray src, OutputArray mean, OutputArray stddev, InputArray mask=noArray())
 computes mean value and standard deviation of all or selected array elements More...
 
double norm (InputArray src1, int normType=NORM_L2, InputArray mask=noArray())
 computes norm of the selected array part More...
 
double norm (InputArray src1, InputArray src2, int normType=NORM_L2, InputArray mask=noArray())
 computes norm of selected part of the difference between two arrays More...
 
void batchDistance (InputArray src1, InputArray src2, OutputArray dist, int dtype, OutputArray nidx, int normType=NORM_L2, int K=0, InputArray mask=noArray(), int update=0, bool crosscheck=false)
 naive nearest neighbor finder More...
 
void normalize (InputArray src, OutputArray dst, double alpha=1, double beta=0, int norm_type=NORM_L2, int dtype=-1, InputArray mask=noArray())
 scales and shifts array elements so that either the specified norm (alpha) or the minimum (alpha) and maximum (beta) array values get the specified values More...
 
void minMaxLoc (InputArray src, CV_OUT double *minVal, CV_OUT double *maxVal=0, CV_OUT Point *minLoc=0, CV_OUT Point *maxLoc=0, InputArray mask=noArray())
 finds global minimum and maximum array elements and returns their values and their locations More...
 
void minMaxIdx (InputArray src, double *minVal, double *maxVal, int *minIdx=0, int *maxIdx=0, InputArray mask=noArray())
 
void reduce (InputArray src, OutputArray dst, int dim, int rtype, int dtype=-1)
 transforms 2D matrix to 1D row or column vector by taking sum, minimum, maximum or mean value over all the rows More...
 
void merge (const Mat *mv, size_t count, OutputArray dst)
 makes multi-channel array out of several single-channel arrays More...
 
void merge (const vector< Mat > &mv, OutputArray dst)
 
void merge (InputArrayOfArrays mv, OutputArray dst)
 makes multi-channel array out of several single-channel arrays More...
 
void split (const Mat &src, Mat *mvbegin)
 copies each plane of a multi-channel array to a dedicated array More...
 
void split (const Mat &m, vector< Mat > &mv)
 
void split (InputArray m, OutputArrayOfArrays mv)
 copies each plane of a multi-channel array to a dedicated array More...
 
void mixChannels (const Mat *src, size_t nsrcs, Mat *dst, size_t ndsts, const int *fromTo, size_t npairs)
 copies selected channels from the input arrays to the selected channels of the output arrays More...
 
void mixChannels (const vector< Mat > &src, vector< Mat > &dst, const int *fromTo, size_t npairs)
 
void mixChannels (InputArrayOfArrays src, InputArrayOfArrays dst, const vector< int > &fromTo)
 
void extractChannel (InputArray src, OutputArray dst, int coi)
 extracts a single channel from src (coi is 0-based index) More...
 
void insertChannel (InputArray src, InputOutputArray dst, int coi)
 inserts a single channel to dst (coi is 0-based index) More...
 
void flip (InputArray src, OutputArray dst, int flipCode)
 reverses the order of the rows, columns or both in a matrix More...
 
void repeat (InputArray src, int ny, int nx, OutputArray dst)
 replicates the input matrix the specified number of times in the horizontal and/or vertical direction More...
 
Mat repeat (const Mat &src, int ny, int nx)
 
void hconcat (const Mat *src, size_t nsrc, OutputArray dst)
 
void hconcat (InputArray src1, InputArray src2, OutputArray dst)
 
void hconcat (InputArrayOfArrays src, OutputArray dst)
 
void vconcat (const Mat *src, size_t nsrc, OutputArray dst)
 
void vconcat (InputArray src1, InputArray src2, OutputArray dst)
 
void vconcat (InputArrayOfArrays src, OutputArray dst)
 
void bitwise_and (InputArray src1, InputArray src2, OutputArray dst, InputArray mask=noArray())
 computes bitwise conjunction of the two arrays (dst = src1 & src2) More...
 
void bitwise_or (InputArray src1, InputArray src2, OutputArray dst, InputArray mask=noArray())
 computes bitwise disjunction of the two arrays (dst = src1 | src2) More...
 
void bitwise_xor (InputArray src1, InputArray src2, OutputArray dst, InputArray mask=noArray())
 computes bitwise exclusive-or of the two arrays (dst = src1 ^ src2) More...
 
void bitwise_not (InputArray src, OutputArray dst, InputArray mask=noArray())
 inverts each bit of array (dst = ~src) More...
 
void absdiff (InputArray src1, InputArray src2, OutputArray dst)
 computes element-wise absolute difference of two arrays (dst = abs(src1 - src2)) More...
 
void inRange (InputArray src, InputArray lowerb, InputArray upperb, OutputArray dst)
 set mask elements for those array elements which are within the element-specific bounding box (dst = lowerb <= src && src < upperb) More...
 
void compare (InputArray src1, InputArray src2, OutputArray dst, int cmpop)
 compares elements of two arrays (dst = src1 <cmpop> src2) More...
 
void min (InputArray src1, InputArray src2, OutputArray dst)
 computes per-element minimum of two arrays (dst = min(src1, src2)) More...
 
void max (InputArray src1, InputArray src2, OutputArray dst)
 computes per-element maximum of two arrays (dst = max(src1, src2)) More...
 
void min (const Mat &src1, const Mat &src2, Mat &dst)
 computes per-element minimum of two arrays (dst = min(src1, src2)) More...
 
void min (const Mat &src1, double src2, Mat &dst)
 computes per-element minimum of array and scalar (dst = min(src1, src2)) More...
 
void max (const Mat &src1, const Mat &src2, Mat &dst)
 computes per-element maximum of two arrays (dst = max(src1, src2)) More...
 
void max (const Mat &src1, double src2, Mat &dst)
 computes per-element maximum of array and scalar (dst = max(src1, src2)) More...
 
void sqrt (InputArray src, OutputArray dst)
 computes square root of each matrix element (dst = src**0.5) More...
 
void pow (InputArray src, double power, OutputArray dst)
 raises the input matrix elements to the specified power (b = a**power) More...
 
void exp (InputArray src, OutputArray dst)
 computes exponent of each matrix element (dst = e**src) More...
 
void log (InputArray src, OutputArray dst)
 computes natural logarithm of absolute value of each matrix element: dst = log(abs(src)) More...
 
float cubeRoot (float val)
 computes cube root of the argument More...
 
float fastAtan2 (float y, float x)
 computes the angle in degrees (0..360) of the vector (x,y) More...
 
void exp (const float *src, float *dst, int n)
 
void log (const float *src, float *dst, int n)
 
void fastAtan2 (const float *y, const float *x, float *dst, int n, bool angleInDegrees)
 
void magnitude (const float *x, const float *y, float *dst, int n)
 
void polarToCart (InputArray magnitude, InputArray angle, OutputArray x, OutputArray y, bool angleInDegrees=false)
 converts polar coordinates to Cartesian More...
 
void cartToPolar (InputArray x, InputArray y, OutputArray magnitude, OutputArray angle, bool angleInDegrees=false)
 converts Cartesian coordinates to polar More...
 
void phase (InputArray x, InputArray y, OutputArray angle, bool angleInDegrees=false)
 computes angle (angle(i)) of each (x(i), y(i)) vector More...
 
void magnitude (InputArray x, InputArray y, OutputArray magnitude)
 computes magnitude (magnitude(i)) of each (x(i), y(i)) vector More...
 
bool checkRange (InputArray a, bool quiet=true, CV_OUT Point *pos=0, double minVal=-DBL_MAX, double maxVal=DBL_MAX)
 checks that each matrix element is within the specified range. More...
 
void patchNaNs (InputOutputArray a, double val=0)
 converts NaN's to the given number More...
 
void gemm (InputArray src1, InputArray src2, double alpha, InputArray src3, double beta, OutputArray dst, int flags=0)
 implements generalized matrix product algorithm GEMM from BLAS More...
 
void mulTransposed (InputArray src, OutputArray dst, bool aTa, InputArray delta=noArray(), double scale=1, int dtype=-1)
 multiplies matrix by its transposition from the left or from the right More...
 
void transpose (InputArray src, OutputArray dst)
 transposes the matrix More...
 
void transform (InputArray src, OutputArray dst, InputArray m)
 performs affine transformation of each element of multi-channel input matrix More...
 
void perspectiveTransform (InputArray src, OutputArray dst, InputArray m)
 performs perspective transformation of each element of multi-channel input matrix More...
 
void completeSymm (InputOutputArray mtx, bool lowerToUpper=false)
 extends the symmetrical matrix from the lower half or from the upper half More...
 
void setIdentity (InputOutputArray mtx, const Scalar &s=Scalar(1))
 initializes scaled identity matrix More...
 
double determinant (InputArray mtx)
 computes determinant of a square matrix More...
 
Scalar trace (InputArray mtx)
 computes trace of a matrix More...
 
double invert (InputArray src, OutputArray dst, int flags=DECOMP_LU)
 computes inverse or pseudo-inverse matrix More...
 
bool solve (InputArray src1, InputArray src2, OutputArray dst, int flags=DECOMP_LU)
 solves linear system or a least-square problem More...
 
void sort (InputArray src, OutputArray dst, int flags)
 sorts independently each matrix row or each matrix column More...
 
void sortIdx (InputArray src, OutputArray dst, int flags)
 sorts independently each matrix row or each matrix column More...
 
int solveCubic (InputArray coeffs, OutputArray roots)
 finds real roots of a cubic polynomial More...
 
double solvePoly (InputArray coeffs, OutputArray roots, int maxIters=300)
 finds real and complex roots of a polynomial More...
 
bool eigen (InputArray src, OutputArray eigenvalues, int lowindex=-1, int highindex=-1)
 finds eigenvalues of a symmetric matrix More...
 
bool eigen (InputArray src, OutputArray eigenvalues, OutputArray eigenvectors, int lowindex=-1, int highindex=-1)
 finds eigenvalues and eigenvectors of a symmetric matrix More...
 
bool eigen (InputArray src, bool computeEigenvectors, OutputArray eigenvalues, OutputArray eigenvectors)
 
void calcCovarMatrix (const Mat *samples, int nsamples, Mat &covar, Mat &mean, int flags, int ctype=CV_64F)
 computes covariation matrix of a set of samples More...
 
void calcCovarMatrix (InputArray samples, OutputArray covar, OutputArray mean, int flags, int ctype=CV_64F)
 computes covariation matrix of a set of samples More...
 
void PCACompute (InputArray data, CV_OUT InputOutputArray mean, OutputArray eigenvectors, int maxComponents=0)
 
void PCAComputeVar (InputArray data, CV_OUT InputOutputArray mean, OutputArray eigenvectors, double retainedVariance)
 
void PCAProject (InputArray data, InputArray mean, InputArray eigenvectors, OutputArray result)
 
void PCABackProject (InputArray data, InputArray mean, InputArray eigenvectors, OutputArray result)
 
void SVDecomp (InputArray src, CV_OUT OutputArray w, CV_OUT OutputArray u, CV_OUT OutputArray vt, int flags=0)
 computes SVD of src More...
 
void SVBackSubst (InputArray w, InputArray u, InputArray vt, InputArray rhs, CV_OUT OutputArray dst)
 performs back substitution for the previously computed SVD More...
 
double Mahalanobis (InputArray v1, InputArray v2, InputArray icovar)
 computes Mahalanobis distance between two vectors: sqrt((v1-v2)'icovar(v1-v2)), where icovar is the inverse covariation matrix More...
 
double Mahalonobis (InputArray v1, InputArray v2, InputArray icovar)
 a synonym for Mahalanobis More...
 
void dft (InputArray src, OutputArray dst, int flags=0, int nonzeroRows=0)
 performs forward or inverse 1D or 2D Discrete Fourier Transformation More...
 
void idft (InputArray src, OutputArray dst, int flags=0, int nonzeroRows=0)
 performs inverse 1D or 2D Discrete Fourier Transformation More...
 
void dct (InputArray src, OutputArray dst, int flags=0)
 performs forward or inverse 1D or 2D Discrete Cosine Transformation More...
 
void idct (InputArray src, OutputArray dst, int flags=0)
 performs inverse 1D or 2D Discrete Cosine Transformation More...
 
void mulSpectrums (InputArray a, InputArray b, OutputArray c, int flags, bool conjB=false)
 computes element-wise product of the two Fourier spectrums. The second spectrum can optionally be conjugated before the multiplication More...
 
int getOptimalDFTSize (int vecsize)
 computes the minimal vector size vecsize1 >= vecsize so that the dft() of the vector of length vecsize1 can be computed efficiently More...
 
double kmeans (InputArray data, int K, CV_OUT InputOutputArray bestLabels, TermCriteria criteria, int attempts, int flags, OutputArray centers=noArray())
 clusters the input data using k-Means algorithm More...
 
RNG & theRNG ()
 returns the thread-local Random number generator More...
 
void setRNGSeed (int seed)
 sets state of the thread-local Random number generator More...
 
void randu (InputOutputArray dst, InputArray low, InputArray high)
 fills array with uniformly-distributed random numbers from the range [low, high) More...
 
void randn (InputOutputArray dst, InputArray mean, InputArray stddev)
 fills array with normally-distributed random numbers with the specified mean and the standard deviation More...
 
void randShuffle (InputOutputArray dst, double iterFactor=1., RNG *rng=0)
 shuffles the input array elements More...
 
 CV_EXPORTS_AS (randShuffle) void randShuffle_(InputOutputArray dst
 
void line (CV_IN_OUT Mat &img, Point pt1, Point pt2, const Scalar &color, int thickness=1, int lineType=8, int shift=0)
 draws the line segment (pt1, pt2) in the image More...
 
void arrowedLine (CV_IN_OUT Mat &img, Point pt1, Point pt2, const Scalar &color, int thickness=1, int line_type=8, int shift=0, double tipLength=0.1)
 draws an arrow from pt1 to pt2 in the image More...
 
void rectangle (CV_IN_OUT Mat &img, Point pt1, Point pt2, const Scalar &color, int thickness=1, int lineType=8, int shift=0)
 draws the rectangle outline or a solid rectangle with the opposite corners pt1 and pt2 in the image More...
 
void rectangle (CV_IN_OUT Mat &img, Rect rec, const Scalar &color, int thickness=1, int lineType=8, int shift=0)
 draws the rectangle outline or a solid rectangle covering rec in the image More...
 
void circle (CV_IN_OUT Mat &img, Point center, int radius, const Scalar &color, int thickness=1, int lineType=8, int shift=0)
 draws the circle outline or a solid circle in the image More...
 
void ellipse (CV_IN_OUT Mat &img, Point center, Size axes, double angle, double startAngle, double endAngle, const Scalar &color, int thickness=1, int lineType=8, int shift=0)
 draws an elliptic arc, ellipse sector or a rotated ellipse in the image More...
 
void ellipse (CV_IN_OUT Mat &img, const RotatedRect &box, const Scalar &color, int thickness=1, int lineType=8)
 draws a rotated ellipse in the image More...
 
void drawMarker (CV_IN_OUT Mat &img, Point position, const Scalar &color, int markerType=MARKER_CROSS, int markerSize=20, int thickness=1, int line_type=8)
 Draws a marker on a predefined position in an image. More...
 
void fillConvexPoly (Mat &img, const Point *pts, int npts, const Scalar &color, int lineType=8, int shift=0)
 draws a filled convex polygon in the image More...
 
void fillConvexPoly (InputOutputArray img, InputArray points, const Scalar &color, int lineType=8, int shift=0)
 
void fillPoly (Mat &img, const Point **pts, const int *npts, int ncontours, const Scalar &color, int lineType=8, int shift=0, Point offset=Point())
 fills an area bounded by one or more polygons More...
 
void fillPoly (InputOutputArray img, InputArrayOfArrays pts, const Scalar &color, int lineType=8, int shift=0, Point offset=Point())
 
void polylines (Mat &img, const Point **pts, const int *npts, int ncontours, bool isClosed, const Scalar &color, int thickness=1, int lineType=8, int shift=0)
 draws one or more polygonal curves More...
 
void polylines (InputOutputArray img, InputArrayOfArrays pts, bool isClosed, const Scalar &color, int thickness=1, int lineType=8, int shift=0)
 
bool clipLine (Size imgSize, CV_IN_OUT Point &pt1, CV_IN_OUT Point &pt2)
 clips the line segment by the rectangle Rect(0, 0, imgSize.width, imgSize.height) More...
 
bool clipLine (Rect imgRect, CV_OUT CV_IN_OUT Point &pt1, CV_OUT CV_IN_OUT Point &pt2)
 clips the line segment by the rectangle imgRect More...
 
void ellipse2Poly (Point center, Size axes, int angle, int arcStart, int arcEnd, int delta, CV_OUT vector< Point > &pts)
 converts elliptic arc to a polygonal curve More...
 
void putText (Mat &img, const string &text, Point org, int fontFace, double fontScale, Scalar color, int thickness=1, int lineType=8, bool bottomLeftOrigin=false)
 renders text string in the image More...
 
Size getTextSize (const string &text, int fontFace, double fontScale, int thickness, CV_OUT int *baseLine)
 returns bounding box of the text string More...
 
ConvertData getConvertElem (int fromType, int toType)
 returns the function for converting pixels from one data type to another More...
 
ConvertScaleData getConvertScaleElem (int fromType, int toType)
 returns the function for converting pixels from one data type to another with the optional scaling More...
 
void minMaxLoc (const SparseMat &a, double *minVal, double *maxVal, int *minIdx=0, int *maxIdx=0)
 finds global minimum and maximum sparse array elements and returns their values and their locations More...
 
double norm (const SparseMat &src, int normType)
 computes norm of a sparse matrix More...
 
void normalize (const SparseMat &src, SparseMat &dst, double alpha, int normType)
 scales and shifts array elements so that either the specified norm (alpha) or the minimum (alpha) and maximum (beta) array values get the specified values More...
 
template<>
std::string CommandLineParser::analyzeValue< std::string > (const std::string &str, bool space_delete)
 
void parallel_for_ (const Range &range, const ParallelLoopBody &body, double nstripes=-1.)
 
int borderInterpolate (int p, int len, int borderType)
 1D interpolation function: returns coordinate of the "donor" pixel for the specified location p. More...
 
int getKernelType (InputArray kernel, Point anchor)
 returns type (one of KERNEL_*) of 1D or 2D kernel specified by its coefficients. More...
 
Ptr< BaseRowFilter > getLinearRowFilter (int srcType, int bufType, InputArray kernel, int anchor, int symmetryType)
 returns the primitive row filter with the specified kernel More...
 
Ptr< BaseColumnFilter > getLinearColumnFilter (int bufType, int dstType, InputArray kernel, int anchor, int symmetryType, double delta=0, int bits=0)
 returns the primitive column filter with the specified kernel More...
 
Ptr< BaseFilter > getLinearFilter (int srcType, int dstType, InputArray kernel, Point anchor=Point(-1,-1), double delta=0, int bits=0)
 returns 2D filter with the specified kernel More...
 
Ptr< FilterEngine > createSeparableLinearFilter (int srcType, int dstType, InputArray rowKernel, InputArray columnKernel, Point anchor=Point(-1,-1), double delta=0, int rowBorderType=BORDER_DEFAULT, int columnBorderType=-1, const Scalar &borderValue=Scalar())
 returns the separable linear filter engine More...
 
Ptr< FilterEngine > createLinearFilter (int srcType, int dstType, InputArray kernel, Point _anchor=Point(-1,-1), double delta=0, int rowBorderType=BORDER_DEFAULT, int columnBorderType=-1, const Scalar &borderValue=Scalar())
 returns the non-separable linear filter engine More...
 
Mat getGaussianKernel (int ksize, double sigma, int ktype=CV_64F)
 returns the Gaussian kernel with the specified parameters More...
 
Ptr< FilterEngine > createGaussianFilter (int type, Size ksize, double sigma1, double sigma2=0, int borderType=BORDER_DEFAULT)
 returns the Gaussian filter engine More...
 
void getDerivKernels (OutputArray kx, OutputArray ky, int dx, int dy, int ksize, bool normalize=false, int ktype=CV_32F)
 initializes kernels of the generalized Sobel operator More...
 
Ptr< FilterEngine > createDerivFilter (int srcType, int dstType, int dx, int dy, int ksize, int borderType=BORDER_DEFAULT)
 returns filter engine for the generalized Sobel operator More...
 
Ptr< BaseRowFilter > getRowSumFilter (int srcType, int sumType, int ksize, int anchor=-1)
 returns horizontal 1D box filter More...
 
Ptr< BaseColumnFilter > getColumnSumFilter (int sumType, int dstType, int ksize, int anchor=-1, double scale=1)
 returns vertical 1D box filter More...
 
Ptr< FilterEngine > createBoxFilter (int srcType, int dstType, Size ksize, Point anchor=Point(-1,-1), bool normalize=true, int borderType=BORDER_DEFAULT)
 returns box filter engine More...
 
Mat getGaborKernel (Size ksize, double sigma, double theta, double lambd, double gamma, double psi=CV_PI *0.5, int ktype=CV_64F)
 returns the Gabor kernel with the specified parameters More...
 
Ptr< BaseRowFilter > getMorphologyRowFilter (int op, int type, int ksize, int anchor=-1)
 returns horizontal 1D morphological filter More...
 
Ptr< BaseColumnFilter > getMorphologyColumnFilter (int op, int type, int ksize, int anchor=-1)
 returns vertical 1D morphological filter More...
 
Ptr< BaseFilter > getMorphologyFilter (int op, int type, InputArray kernel, Point anchor=Point(-1,-1))
 returns 2D morphological filter More...
 
Ptr< FilterEngine > createMorphologyFilter (int op, int type, InputArray kernel, Point anchor=Point(-1,-1), int rowBorderType=BORDER_CONSTANT, int columnBorderType=-1, const Scalar &borderValue=morphologyDefaultBorderValue())
 returns morphological filter engine. Only MORPH_ERODE and MORPH_DILATE are supported. More...
 
Mat getStructuringElement (int shape, Size ksize, Point anchor=Point(-1,-1))
 returns structuring element of the specified shape and size More...
 
void copyMakeBorder (InputArray src, OutputArray dst, int top, int bottom, int left, int right, int borderType, const Scalar &value=Scalar())
 copies 2D array to a larger destination array with extrapolation of the outer part of src using the specified border mode More...
 
void medianBlur (InputArray src, OutputArray dst, int ksize)
 smooths the image using median filter. More...
 
void GaussianBlur (InputArray src, OutputArray dst, Size ksize, double sigmaX, double sigmaY=0, int borderType=BORDER_DEFAULT)
 smooths the image using Gaussian filter. More...
 
void bilateralFilter (InputArray src, OutputArray dst, int d, double sigmaColor, double sigmaSpace, int borderType=BORDER_DEFAULT)
 smooths the image using bilateral filter More...
 
void adaptiveBilateralFilter (InputArray src, OutputArray dst, Size ksize, double sigmaSpace, double maxSigmaColor=20.0, Point anchor=Point(-1, -1), int borderType=BORDER_DEFAULT)
 smooths the image using adaptive bilateral filter More...
 
void boxFilter (InputArray src, OutputArray dst, int ddepth, Size ksize, Point anchor=Point(-1,-1), bool normalize=true, int borderType=BORDER_DEFAULT)
 smooths the image using the box filter. Each pixel is processed in O(1) time More...
 
void blur (InputArray src, OutputArray dst, Size ksize, Point anchor=Point(-1,-1), int borderType=BORDER_DEFAULT)
 a synonym for normalized box filter More...
 
void filter2D (InputArray src, OutputArray dst, int ddepth, InputArray kernel, Point anchor=Point(-1,-1), double delta=0, int borderType=BORDER_DEFAULT)
 applies non-separable 2D linear filter to the image More...
 
void sepFilter2D (InputArray src, OutputArray dst, int ddepth, InputArray kernelX, InputArray kernelY, Point anchor=Point(-1,-1), double delta=0, int borderType=BORDER_DEFAULT)
 applies separable 2D linear filter to the image More...
 
void Sobel (InputArray src, OutputArray dst, int ddepth, int dx, int dy, int ksize=3, double scale=1, double delta=0, int borderType=BORDER_DEFAULT)
 applies generalized Sobel operator to the image More...
 
void Scharr (InputArray src, OutputArray dst, int ddepth, int dx, int dy, double scale=1, double delta=0, int borderType=BORDER_DEFAULT)
 applies the vertical or horizontal Scharr operator to the image More...
 
void Laplacian (InputArray src, OutputArray dst, int ddepth, int ksize=1, double scale=1, double delta=0, int borderType=BORDER_DEFAULT)
 applies Laplacian operator to the image More...
 
void Canny (InputArray image, OutputArray edges, double threshold1, double threshold2, int apertureSize=3, bool L2gradient=false)
 applies Canny edge detector and produces the edge map. More...
 
void cornerMinEigenVal (InputArray src, OutputArray dst, int blockSize, int ksize=3, int borderType=BORDER_DEFAULT)
 computes minimum eigen value of 2x2 derivative covariation matrix at each pixel - the cornerness criteria More...
 
void cornerHarris (InputArray src, OutputArray dst, int blockSize, int ksize, double k, int borderType=BORDER_DEFAULT)
 computes Harris cornerness criteria at each image pixel More...
 
void eigen2x2 (const float *a, float *e, int n)
 
void cornerEigenValsAndVecs (InputArray src, OutputArray dst, int blockSize, int ksize, int borderType=BORDER_DEFAULT)
 computes both eigenvalues and the eigenvectors of 2x2 derivative covariation matrix at each pixel. The output is stored as 6-channel matrix. More...
 
void preCornerDetect (InputArray src, OutputArray dst, int ksize, int borderType=BORDER_DEFAULT)
 computes another complex cornerness criteria at each pixel More...
 
void cornerSubPix (InputArray image, InputOutputArray corners, Size winSize, Size zeroZone, TermCriteria criteria)
 adjusts the corner locations with sub-pixel accuracy to maximize the certain cornerness criteria More...
 
void goodFeaturesToTrack (InputArray image, OutputArray corners, int maxCorners, double qualityLevel, double minDistance, InputArray mask=noArray(), int blockSize=3, bool useHarrisDetector=false, double k=0.04)
 finds the strong enough corners where the cornerMinEigenVal() or cornerHarris() report the local maxima More...
 
void HoughLines (InputArray image, OutputArray lines, double rho, double theta, int threshold, double srn=0, double stn=0)
 finds lines in the black-n-white image using the standard or pyramid Hough transform More...
 
void HoughLinesP (InputArray image, OutputArray lines, double rho, double theta, int threshold, double minLineLength=0, double maxLineGap=0)
 finds line segments in the black-n-white image using probabilistic Hough transform More...
 
void HoughCircles (InputArray image, OutputArray circles, int method, double dp, double minDist, double param1=100, double param2=100, int minRadius=0, int maxRadius=0)
 finds circles in the grayscale image using 2+1 gradient Hough transform More...
 
void erode (InputArray src, OutputArray dst, InputArray kernel, Point anchor=Point(-1,-1), int iterations=1, int borderType=BORDER_CONSTANT, const Scalar &borderValue=morphologyDefaultBorderValue())
 erodes the image (applies the local minimum operator) More...
 
void dilate (InputArray src, OutputArray dst, InputArray kernel, Point anchor=Point(-1,-1), int iterations=1, int borderType=BORDER_CONSTANT, const Scalar &borderValue=morphologyDefaultBorderValue())
 dilates the image (applies the local maximum operator) More...
 
void morphologyEx (InputArray src, OutputArray dst, int op, InputArray kernel, Point anchor=Point(-1,-1), int iterations=1, int borderType=BORDER_CONSTANT, const Scalar &borderValue=morphologyDefaultBorderValue())
 applies an advanced morphological operation to the image More...
 
void resize (InputArray src, OutputArray dst, Size dsize, double fx=0, double fy=0, int interpolation=INTER_LINEAR)
 resizes the image More...
 
void warpAffine (InputArray src, OutputArray dst, InputArray M, Size dsize, int flags=INTER_LINEAR, int borderMode=BORDER_CONSTANT, const Scalar &borderValue=Scalar())
 warps the image using affine transformation More...
 
void warpPerspective (InputArray src, OutputArray dst, InputArray M, Size dsize, int flags=INTER_LINEAR, int borderMode=BORDER_CONSTANT, const Scalar &borderValue=Scalar())
 warps the image using perspective transformation More...
 
void remap (InputArray src, OutputArray dst, InputArray map1, InputArray map2, int interpolation, int borderMode=BORDER_CONSTANT, const Scalar &borderValue=Scalar())
 warps the image using the precomputed maps. The maps are stored in either floating-point or integer fixed-point format More...
 
void convertMaps (InputArray map1, InputArray map2, OutputArray dstmap1, OutputArray dstmap2, int dstmap1type, bool nninterpolation=false)
 converts maps for remap from floating-point to fixed-point format or backwards More...
 
Mat getRotationMatrix2D (Point2f center, double angle, double scale)
 returns 2x3 affine transformation matrix for the planar rotation. More...
 
Mat getPerspectiveTransform (const Point2f src[], const Point2f dst[])
 returns 3x3 perspective transformation for the corresponding 4 point pairs. More...
 
Mat getAffineTransform (const Point2f src[], const Point2f dst[])
 returns 2x3 affine transformation for the corresponding 3 point pairs. More...
 
void invertAffineTransform (InputArray M, OutputArray iM)
 computes 2x3 affine transformation matrix that is inverse to the specified 2x3 affine transformation. More...
 
Mat getPerspectiveTransform (InputArray src, InputArray dst)
 
Mat getAffineTransform (InputArray src, InputArray dst)
 
void getRectSubPix (InputArray image, Size patchSize, Point2f center, OutputArray patch, int patchType=-1)
 extracts rectangle from the image at sub-pixel location More...
 
void integral (InputArray src, OutputArray sum, int sdepth=-1)
 computes the integral image More...
 
 CV_EXPORTS_AS (integral2) void integral(InputArray src
 computes the integral image and integral for the squared image More...
 
 CV_EXPORTS_AS (integral3) void integral(InputArray src
 computes the integral image, integral for the squared image and the tilted integral image More...
 
void accumulate (InputArray src, InputOutputArray dst, InputArray mask=noArray())
 adds image to the accumulator (dst += src). Unlike cv::add, dst and src can have different types. More...
 
void accumulateSquare (InputArray src, InputOutputArray dst, InputArray mask=noArray())
 adds squared src image to the accumulator (dst += src*src). More...
 
void accumulateProduct (InputArray src1, InputArray src2, InputOutputArray dst, InputArray mask=noArray())
 adds product of the 2 images to the accumulator (dst += src1*src2). More...
 
void accumulateWeighted (InputArray src, InputOutputArray dst, double alpha, InputArray mask=noArray())
 updates the running average (dst = dst*(1-alpha) + src*alpha) More...
 
double PSNR (InputArray src1, InputArray src2)
 computes PSNR image/video quality metric More...
 
Point2d phaseCorrelate (InputArray src1, InputArray src2, InputArray window=noArray())
 
Point2d phaseCorrelateRes (InputArray src1, InputArray src2, InputArray window, CV_OUT double *response=0)
 
void createHanningWindow (OutputArray dst, Size winSize, int type)
 
double threshold (InputArray src, OutputArray dst, double thresh, double maxval, int type)
 applies fixed threshold to the image More...
 
void adaptiveThreshold (InputArray src, OutputArray dst, double maxValue, int adaptiveMethod, int thresholdType, int blockSize, double C)
 applies variable (adaptive) threshold to the image More...
 
void pyrDown (InputArray src, OutputArray dst, const Size &dstsize=Size(), int borderType=BORDER_DEFAULT)
 smooths and downsamples the image More...
 
void pyrUp (InputArray src, OutputArray dst, const Size &dstsize=Size(), int borderType=BORDER_DEFAULT)
 upsamples and smoothes the image More...
 
void buildPyramid (InputArray src, OutputArrayOfArrays dst, int maxlevel, int borderType=BORDER_DEFAULT)
 builds the gaussian pyramid using pyrDown() as a basic operation More...
 
void undistort (InputArray src, OutputArray dst, InputArray cameraMatrix, InputArray distCoeffs, InputArray newCameraMatrix=noArray())
 corrects lens distortion for the given camera matrix and distortion coefficients More...
 
void initUndistortRectifyMap (InputArray cameraMatrix, InputArray distCoeffs, InputArray R, InputArray newCameraMatrix, Size size, int m1type, OutputArray map1, OutputArray map2)
 initializes maps for cv::remap() to correct lens distortion and optionally rectify the image More...
 
float initWideAngleProjMap (InputArray cameraMatrix, InputArray distCoeffs, Size imageSize, int destImageWidth, int m1type, OutputArray map1, OutputArray map2, int projType=PROJ_SPHERICAL_EQRECT, double alpha=0)
 initializes maps for cv::remap() for wide-angle More...
 
Mat getDefaultNewCameraMatrix (InputArray cameraMatrix, Size imgsize=Size(), bool centerPrincipalPoint=false)
 returns the default new camera matrix (by default it is the same as cameraMatrix unless centerPricipalPoint=true) More...
 
void undistortPoints (InputArray src, OutputArray dst, InputArray cameraMatrix, InputArray distCoeffs, InputArray R=noArray(), InputArray P=noArray())
 returns points' coordinates after lens distortion correction More...
 
void calcHist (const Mat *images, int nimages, const int *channels, InputArray mask, OutputArray hist, int dims, const int *histSize, const float **ranges, bool uniform=true, bool accumulate=false)
 computes the joint dense histogram for a set of images. More...
 
void calcHist (const Mat *images, int nimages, const int *channels, InputArray mask, SparseMat &hist, int dims, const int *histSize, const float **ranges, bool uniform=true, bool accumulate=false)
 computes the joint sparse histogram for a set of images. More...
 
void calcHist (InputArrayOfArrays images, const vector< int > &channels, InputArray mask, OutputArray hist, const vector< int > &histSize, const vector< float > &ranges, bool accumulate=false)
 
void calcBackProject (const Mat *images, int nimages, const int *channels, InputArray hist, OutputArray backProject, const float **ranges, double scale=1, bool uniform=true)
 computes back projection for the set of images More...
 
void calcBackProject (const Mat *images, int nimages, const int *channels, const SparseMat &hist, OutputArray backProject, const float **ranges, double scale=1, bool uniform=true)
 computes back projection for the set of images More...
 
void calcBackProject (InputArrayOfArrays images, const vector< int > &channels, InputArray hist, OutputArray dst, const vector< float > &ranges, double scale)
 
double compareHist (InputArray H1, InputArray H2, int method)
 compares two histograms stored in dense arrays More...
 
double compareHist (const SparseMat &H1, const SparseMat &H2, int method)
 compares two histograms stored in sparse arrays More...
 
void equalizeHist (InputArray src, OutputArray dst)
 normalizes the grayscale image brightness and contrast by normalizing its histogram More...
 
Ptr< CLAHE > createCLAHE (double clipLimit=40.0, Size tileGridSize=Size(8, 8))
 
float EMD (InputArray signature1, InputArray signature2, int distType, InputArray cost=noArray(), float *lowerBound=0, OutputArray flow=noArray())
 
void watershed (InputArray image, InputOutputArray markers)
 segments the image using watershed algorithm More...
 
void pyrMeanShiftFiltering (InputArray src, OutputArray dst, double sp, double sr, int maxLevel=1, TermCriteria termcrit=TermCriteria(TermCriteria::MAX_ITER+TermCriteria::EPS, 5, 1))
 filters image using meanshift algorithm More...
 
void grabCut (InputArray img, InputOutputArray mask, Rect rect, InputOutputArray bgdModel, InputOutputArray fgdModel, int iterCount, int mode=GC_EVAL)
 segments the image using GrabCut algorithm More...
 
 CV_EXPORTS_AS (distanceTransformWithLabels) void distanceTransform(InputArray src
 builds the discrete Voronoi diagram More...
 
void distanceTransform (InputArray src, OutputArray dst, int distanceType, int maskSize)
 computes the distance transform map More...
 
int floodFill (InputOutputArray image, Point seedPoint, Scalar newVal, CV_OUT Rect *rect=0, Scalar loDiff=Scalar(), Scalar upDiff=Scalar(), int flags=4)
 fills the semi-uniform image region starting from the specified seed point More...
 
int floodFill (InputOutputArray image, InputOutputArray mask, Point seedPoint, Scalar newVal, CV_OUT Rect *rect=0, Scalar loDiff=Scalar(), Scalar upDiff=Scalar(), int flags=4)
 fills the semi-uniform image region and/or the mask starting from the specified seed point More...
 
void cvtColor (InputArray src, OutputArray dst, int code, int dstCn=0)
 converts image from one color space to another More...
 
Moments moments (InputArray array, bool binaryImage=false)
 computes moments of the rasterized shape or a vector of points More...
 
void HuMoments (const Moments &moments, double hu[7])
 computes 7 Hu invariants from the moments More...
 
void HuMoments (const Moments &m, CV_OUT OutputArray hu)
 
void matchTemplate (InputArray image, InputArray templ, OutputArray result, int method)
 computes the proximity map for the raster template and the image where the template is searched for More...
 
void findContours (InputOutputArray image, OutputArrayOfArrays contours, OutputArray hierarchy, int mode, int method, Point offset=Point())
 retrieves contours and the hierarchical information from black-n-white image. More...
 
void findContours (InputOutputArray image, OutputArrayOfArrays contours, int mode, int method, Point offset=Point())
 retrieves contours from black-n-white image. More...
 
void drawContours (InputOutputArray image, InputArrayOfArrays contours, int contourIdx, const Scalar &color, int thickness=1, int lineType=8, InputArray hierarchy=noArray(), int maxLevel=INT_MAX, Point offset=Point())
 draws contours in the image More...
 
void approxPolyDP (InputArray curve, OutputArray approxCurve, double epsilon, bool closed)
 approximates contour or a curve using Douglas-Peucker algorithm More...
 
double arcLength (InputArray curve, bool closed)
 computes the contour perimeter (closed=true) or a curve length More...
 
Rect boundingRect (InputArray points)
 computes the bounding rectangle for a contour More...
 
double contourArea (InputArray contour, bool oriented=false)
 computes the contour area More...
 
RotatedRect minAreaRect (InputArray points)
 computes the minimal rotated rectangle for a set of points More...
 
void minEnclosingCircle (InputArray points, CV_OUT Point2f &center, CV_OUT float &radius)
 computes the minimal enclosing circle for a set of points More...
 
double matchShapes (InputArray contour1, InputArray contour2, int method, double parameter)
 matches two contours using one of the available algorithms More...
 
void convexHull (InputArray points, OutputArray hull, bool clockwise=false, bool returnPoints=true)
 computes convex hull for a set of 2D points. More...
 
void convexityDefects (InputArray contour, InputArray convexhull, OutputArray convexityDefects)
 computes the contour convexity defects More...
 
bool isContourConvex (InputArray contour)
 returns true if the contour is convex. Does not support contours with self-intersection More...
 
float intersectConvexConvex (InputArray _p1, InputArray _p2, OutputArray _p12, bool handleNested=true)
 finds intersection of two convex polygons More...
 
RotatedRect fitEllipse (InputArray points)
 fits ellipse to the set of 2D points More...
 
void fitLine (InputArray points, OutputArray line, int distType, double param, double reps, double aeps)
 fits line to the set of 2D points using M-estimator algorithm More...
 
double pointPolygonTest (InputArray contour, Point2f pt, bool measureDist)
 checks if the point is inside the contour. Optionally computes the signed distance from the point to the contour boundary More...
 
void namedWindow (const string &winname, int flags=WINDOW_AUTOSIZE)
 
void destroyWindow (const string &winname)
 
void destroyAllWindows ()
 
int startWindowThread ()
 
int waitKey (int delay=0)
 
void imshow (const string &winname, InputArray mat)
 
void resizeWindow (const string &winname, int width, int height)
 
void moveWindow (const string &winname, int x, int y)
 
void setWindowProperty (const string &winname, int prop_id, double prop_value)
 
double getWindowProperty (const string &winname, int prop_id)
 
void setMouseCallback (const string &winname, MouseCallback onMouse, void *userdata=0)
 assigns callback for mouse events More...
 
int createTrackbar (const string &trackbarname, const string &winname, int *value, int count, TrackbarCallback onChange=0, void *userdata=0)
 
int getTrackbarPos (const string &trackbarname, const string &winname)
 
void setTrackbarPos (const string &trackbarname, const string &winname, int pos)
 
void setOpenGlDrawCallback (const string &winname, OpenGlDrawCallback onOpenGlDraw, void *userdata=0)
 
void setOpenGlContext (const string &winname)
 
void updateWindow (const string &winname)
 
void pointCloudShow (const string &winname, const GlCamera &camera, const GlArrays &arr)
 
void pointCloudShow (const string &winname, const GlCamera &camera, InputArray points, InputArray colors=noArray())
 
CvFont fontQt (const string &nameFont, int pointSize=-1, Scalar color=Scalar::all(0), int weight=CV_FONT_NORMAL, int style=CV_STYLE_NORMAL, int spacing=0)
 
void addText (const Mat &img, const string &text, Point org, CvFont font)
 
void displayOverlay (const string &winname, const string &text, int delayms CV_DEFAULT(0))
 
void displayStatusBar (const string &winname, const string &text, int delayms CV_DEFAULT(0))
 
void saveWindowParameters (const string &windowName)
 
void loadWindowParameters (const string &windowName)
 
int startLoop (int(*pt2Func)(int argc, char *argv[]), int argc, char *argv[])
 
void stopLoop ()
 
int createButton (const string &bar_name, ButtonCallback on_change, void *userdata=NULL, int type=CV_PUSH_BUTTON, bool initial_button_state=0)
 
Mat imread (const string &filename, int flags=1)
 
bool imwrite (const string &filename, InputArray img, const vector< int > &params=vector< int >())
 
Mat imdecode (InputArray buf, int flags)
 
Mat imdecode (InputArray buf, int flags, Mat *dst)
 
bool imencode (const string &ext, InputArray img, CV_OUT vector< uchar > &buf, const vector< int > &params=vector< int >())
 
void updateMotionHistory (InputArray silhouette, InputOutputArray mhi, double timestamp, double duration)
 updates motion history image using the current silhouette More...
 
void calcMotionGradient (InputArray mhi, OutputArray mask, OutputArray orientation, double delta1, double delta2, int apertureSize=3)
 computes the motion gradient orientation image from the motion history image More...
 
double calcGlobalOrientation (InputArray orientation, InputArray mask, InputArray mhi, double timestamp, double duration)
 computes the global orientation of the selected motion history image part More...
 
void segmentMotion (InputArray mhi, OutputArray segmask, CV_OUT vector< Rect > &boundingRects, double timestamp, double segThresh)
 
RotatedRect CamShift (InputArray probImage, CV_OUT CV_IN_OUT Rect &window, TermCriteria criteria)
 updates the object tracking window using CAMSHIFT algorithm More...
 
int meanShift (InputArray probImage, CV_OUT CV_IN_OUT Rect &window, TermCriteria criteria)
 updates the object tracking window using meanshift algorithm More...
 
int buildOpticalFlowPyramid (InputArray img, OutputArrayOfArrays pyramid, Size winSize, int maxLevel, bool withDerivatives=true, int pyrBorder=BORDER_REFLECT_101, int derivBorder=BORDER_CONSTANT, bool tryReuseInputImage=true)
 constructs a pyramid which can be used as input for calcOpticalFlowPyrLK More...
 
void calcOpticalFlowPyrLK (InputArray prevImg, InputArray nextImg, InputArray prevPts, CV_OUT InputOutputArray nextPts, OutputArray status, OutputArray err, Size winSize=Size(21, 21), int maxLevel=3, TermCriteria criteria=TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 30, 0.01), int flags=0, double minEigThreshold=1e-4)
 computes sparse optical flow using multi-scale Lucas-Kanade algorithm More...
 
void calcOpticalFlowFarneback (InputArray prev, InputArray next, CV_OUT InputOutputArray flow, double pyr_scale, int levels, int winsize, int iterations, int poly_n, double poly_sigma, int flags)
 computes dense optical flow using Farneback algorithm More...
 
Mat estimateRigidTransform (InputArray src, InputArray dst, bool fullAffine)
 estimates the best-fit Euqcidean, similarity, affine or perspective transformation More...
 
void calcOpticalFlowSF (Mat &from, Mat &to, Mat &flow, int layers, int averaging_block_size, int max_flow)
 computes dense optical flow using Simple Flow algorithm More...
 
void calcOpticalFlowSF (Mat &from, Mat &to, Mat &flow, int layers, int averaging_block_size, int max_flow, double sigma_dist, double sigma_color, int postprocess_window, double sigma_dist_fix, double sigma_color_fix, double occ_thr, int upscale_averaging_radius, double upscale_sigma_dist, double upscale_sigma_color, double speed_up_thr)
 
Ptr< DenseOpticalFlow > createOptFlow_DualTVL1 ()
 
bool initModule_video (void)
 
void Rodrigues (InputArray src, OutputArray dst, OutputArray jacobian=noArray())
 converts rotation vector to rotation matrix or vice versa using Rodrigues transformation More...
 
Mat findHomography (InputArray srcPoints, InputArray dstPoints, int method=0, double ransacReprojThreshold=3, OutputArray mask=noArray())
 computes the best-fit perspective transformation mapping srcPoints to dstPoints. More...
 
Mat findHomography (InputArray srcPoints, InputArray dstPoints, OutputArray mask, int method=0, double ransacReprojThreshold=3)
 variant of findHomography for backward compatibility More...
 
Vec3d RQDecomp3x3 (InputArray src, OutputArray mtxR, OutputArray mtxQ, OutputArray Qx=noArray(), OutputArray Qy=noArray(), OutputArray Qz=noArray())
 Computes RQ decomposition of 3x3 matrix. More...
 
void decomposeProjectionMatrix (InputArray projMatrix, OutputArray cameraMatrix, OutputArray rotMatrix, OutputArray transVect, OutputArray rotMatrixX=noArray(), OutputArray rotMatrixY=noArray(), OutputArray rotMatrixZ=noArray(), OutputArray eulerAngles=noArray())
 Decomposes the projection matrix into camera matrix and the rotation martix and the translation vector. More...
 
void matMulDeriv (InputArray A, InputArray B, OutputArray dABdA, OutputArray dABdB)
 computes derivatives of the matrix product w.r.t each of the multiplied matrix coefficients More...
 
void composeRT (InputArray rvec1, InputArray tvec1, InputArray rvec2, InputArray tvec2, OutputArray rvec3, OutputArray tvec3, OutputArray dr3dr1=noArray(), OutputArray dr3dt1=noArray(), OutputArray dr3dr2=noArray(), OutputArray dr3dt2=noArray(), OutputArray dt3dr1=noArray(), OutputArray dt3dt1=noArray(), OutputArray dt3dr2=noArray(), OutputArray dt3dt2=noArray())
 composes 2 [R|t] transformations together. Also computes the derivatives of the result w.r.t the arguments More...
 
void projectPoints (InputArray objectPoints, InputArray rvec, InputArray tvec, InputArray cameraMatrix, InputArray distCoeffs, OutputArray imagePoints, OutputArray jacobian=noArray(), double aspectRatio=0)
 projects points from the model coordinate space to the image coordinates. Also computes derivatives of the image coordinates w.r.t the intrinsic and extrinsic camera parameters More...
 
bool solvePnP (InputArray objectPoints, InputArray imagePoints, InputArray cameraMatrix, InputArray distCoeffs, OutputArray rvec, OutputArray tvec, bool useExtrinsicGuess=false, int flags=ITERATIVE)
 
void solvePnPRansac (InputArray objectPoints, InputArray imagePoints, InputArray cameraMatrix, InputArray distCoeffs, OutputArray rvec, OutputArray tvec, bool useExtrinsicGuess=false, int iterationsCount=100, float reprojectionError=8.0, int minInliersCount=100, OutputArray inliers=noArray(), int flags=ITERATIVE)
 computes the camera pose from a few 3D points and the corresponding projections. The outliers are possible. More...
 
Mat initCameraMatrix2D (InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints, Size imageSize, double aspectRatio=1.)
 initializes camera matrix from a few 3D points and the corresponding projections. More...
 
bool findChessboardCorners (InputArray image, Size patternSize, OutputArray corners, int flags=CALIB_CB_ADAPTIVE_THRESH+CALIB_CB_NORMALIZE_IMAGE)
 finds checkerboard pattern of the specified size in the image More...
 
bool find4QuadCornerSubpix (InputArray img, InputOutputArray corners, Size region_size)
 finds subpixel-accurate positions of the chessboard corners More...
 
void drawChessboardCorners (InputOutputArray image, Size patternSize, InputArray corners, bool patternWasFound)
 draws the checkerboard pattern (found or partly found) in the image More...
 
bool findCirclesGrid (InputArray image, Size patternSize, OutputArray centers, int flags=CALIB_CB_SYMMETRIC_GRID, const Ptr< FeatureDetector > &blobDetector=new SimpleBlobDetector())
 finds circles' grid pattern of the specified size in the image More...
 
bool findCirclesGridDefault (InputArray image, Size patternSize, OutputArray centers, int flags=CALIB_CB_SYMMETRIC_GRID)
 the deprecated function. Use findCirclesGrid() instead of it. More...
 
double calibrateCamera (InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints, Size imageSize, CV_OUT InputOutputArray cameraMatrix, CV_OUT InputOutputArray distCoeffs, OutputArrayOfArrays rvecs, OutputArrayOfArrays tvecs, int flags=0, TermCriteria criteria=TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 30, DBL_EPSILON))
 finds intrinsic and extrinsic camera parameters from several fews of a known calibration pattern. More...
 
void calibrationMatrixValues (InputArray cameraMatrix, Size imageSize, double apertureWidth, double apertureHeight, CV_OUT double &fovx, CV_OUT double &fovy, CV_OUT double &focalLength, CV_OUT Point2d &principalPoint, CV_OUT double &aspectRatio)
 computes several useful camera characteristics from the camera matrix, camera frame resolution and the physical sensor size. More...
 
double stereoCalibrate (InputArrayOfArrays objectPoints, InputArrayOfArrays imagePoints1, InputArrayOfArrays imagePoints2, CV_OUT InputOutputArray cameraMatrix1, CV_OUT InputOutputArray distCoeffs1, CV_OUT InputOutputArray cameraMatrix2, CV_OUT InputOutputArray distCoeffs2, Size imageSize, OutputArray R, OutputArray T, OutputArray E, OutputArray F, TermCriteria criteria=TermCriteria(TermCriteria::COUNT+TermCriteria::EPS, 30, 1e-6), int flags=CALIB_FIX_INTRINSIC)
 finds intrinsic and extrinsic parameters of a stereo camera More...
 
void stereoRectify (InputArray cameraMatrix1, InputArray distCoeffs1, InputArray cameraMatrix2, InputArray distCoeffs2, Size imageSize, InputArray R, InputArray T, OutputArray R1, OutputArray R2, OutputArray P1, OutputArray P2, OutputArray Q, int flags=CALIB_ZERO_DISPARITY, double alpha=-1, Size newImageSize=Size(), CV_OUT Rect *validPixROI1=0, CV_OUT Rect *validPixROI2=0)
 computes the rectification transformation for a stereo camera from its intrinsic and extrinsic parameters More...
 
bool stereoRectifyUncalibrated (InputArray points1, InputArray points2, InputArray F, Size imgSize, OutputArray H1, OutputArray H2, double threshold=5)
 computes the rectification transformation for an uncalibrated stereo camera (zero distortion is assumed) More...
 
float rectify3Collinear (InputArray cameraMatrix1, InputArray distCoeffs1, InputArray cameraMatrix2, InputArray distCoeffs2, InputArray cameraMatrix3, InputArray distCoeffs3, InputArrayOfArrays imgpt1, InputArrayOfArrays imgpt3, Size imageSize, InputArray R12, InputArray T12, InputArray R13, InputArray T13, OutputArray R1, OutputArray R2, OutputArray R3, OutputArray P1, OutputArray P2, OutputArray P3, OutputArray Q, double alpha, Size newImgSize, CV_OUT Rect *roi1, CV_OUT Rect *roi2, int flags)
 computes the rectification transformations for 3-head camera, where all the heads are on the same line. More...
 
Mat getOptimalNewCameraMatrix (InputArray cameraMatrix, InputArray distCoeffs, Size imageSize, double alpha, Size newImgSize=Size(), CV_OUT Rect *validPixROI=0, bool centerPrincipalPoint=false)
 returns the optimal new camera matrix More...
 
void convertPointsToHomogeneous (InputArray src, OutputArray dst)
 converts point coordinates from normal pixel coordinates to homogeneous coordinates ((x,y)->(x,y,1)) More...
 
void convertPointsFromHomogeneous (InputArray src, OutputArray dst)
 converts point coordinates from homogeneous to normal pixel coordinates ((x,y,z)->(x/z, y/z)) More...
 
void convertPointsHomogeneous (InputArray src, OutputArray dst)
 for backward compatibility More...
 
Mat findFundamentalMat (InputArray points1, InputArray points2, int method=FM_RANSAC, double param1=3., double param2=0.99, OutputArray mask=noArray())
 finds fundamental matrix from a set of corresponding 2D points More...
 
Mat findFundamentalMat (InputArray points1, InputArray points2, OutputArray mask, int method=FM_RANSAC, double param1=3., double param2=0.99)
 variant of findFundamentalMat for backward compatibility More...
 
void computeCorrespondEpilines (InputArray points, int whichImage, InputArray F, OutputArray lines)
 finds coordinates of epipolar lines corresponding the specified points More...
 
void triangulatePoints (InputArray projMatr1, InputArray projMatr2, InputArray projPoints1, InputArray projPoints2, OutputArray points4D)
 
void correctMatches (InputArray F, InputArray points1, InputArray points2, OutputArray newPoints1, OutputArray newPoints2)
 
void filterSpeckles (InputOutputArray img, double newVal, int maxSpeckleSize, double maxDiff, InputOutputArray buf=noArray())
 filters off speckles (small regions of incorrectly computed disparity) More...
 
Rect getValidDisparityROI (Rect roi1, Rect roi2, int minDisparity, int numberOfDisparities, int SADWindowSize)
 computes valid disparity ROI from the valid ROIs of the rectified images (that are returned by cv::stereoRectify()) More...
 
void validateDisparity (InputOutputArray disparity, InputArray cost, int minDisparity, int numberOfDisparities, int disp12MaxDisp=1)
 validates disparity using the left-right check. The matrix "cost" should be computed by the stereo correspondence algorithm More...
 
void reprojectImageTo3D (InputArray disparity, OutputArray _3dImage, InputArray Q, bool handleMissingValues=false, int ddepth=-1)
 reprojects disparity image to 3D: (x,y,d)->(X,Y,Z) using the matrix Q returned by cv::stereoRectify More...
 
int estimateAffine3D (InputArray src, InputArray dst, OutputArray out, OutputArray inliers, double ransacThreshold=3, double confidence=0.99)
 
bool initModule_features2d ()
 
void write (FileStorage &fs, const string &name, const vector< KeyPoint > &keypoints)
 writes vector of keypoints to the file storage More...
 
void read (const FileNode &node, CV_OUT vector< KeyPoint > &keypoints)
 reads vector of keypoints from the specified file storage node More...
 
void FAST (InputArray image, CV_OUT vector< KeyPoint > &keypoints, int threshold, bool nonmaxSuppression=true)
 detects corners using FAST algorithm by E. Rosten More...
 
void FASTX (InputArray image, CV_OUT vector< KeyPoint > &keypoints, int threshold, bool nonmaxSuppression, int type)
 
Mat windowedMatchingMask (const vector< KeyPoint > &keypoints1, const vector< KeyPoint > &keypoints2, float maxDeltaX, float maxDeltaY)
 
void drawKeypoints (const Mat &image, const vector< KeyPoint > &keypoints, CV_OUT Mat &outImage, const Scalar &color=Scalar::all(-1), int flags=DrawMatchesFlags::DEFAULT)
 
void drawMatches (const Mat &img1, const vector< KeyPoint > &keypoints1, const Mat &img2, const vector< KeyPoint > &keypoints2, const vector< DMatch > &matches1to2, Mat &outImg, const Scalar &matchColor=Scalar::all(-1), const Scalar &singlePointColor=Scalar::all(-1), const vector< char > &matchesMask=vector< char >(), int flags=DrawMatchesFlags::DEFAULT)
 
void drawMatches (const Mat &img1, const vector< KeyPoint > &keypoints1, const Mat &img2, const vector< KeyPoint > &keypoints2, const vector< vector< DMatch > > &matches1to2, Mat &outImg, const Scalar &matchColor=Scalar::all(-1), const Scalar &singlePointColor=Scalar::all(-1), const vector< vector< char > > &matchesMask=vector< vector< char > >(), int flags=DrawMatchesFlags::DEFAULT)
 
void evaluateFeatureDetector (const Mat &img1, const Mat &img2, const Mat &H1to2, vector< KeyPoint > *keypoints1, vector< KeyPoint > *keypoints2, float &repeatability, int &correspCount, const Ptr< FeatureDetector > &fdetector=Ptr< FeatureDetector >())
 
void computeRecallPrecisionCurve (const vector< vector< DMatch > > &matches1to2, const vector< vector< uchar > > &correctMatches1to2Mask, vector< Point2f > &recallPrecisionCurve)
 
float getRecall (const vector< Point2f > &recallPrecisionCurve, float l_precision)
 
int getNearestPoint (const vector< Point2f > &recallPrecisionCurve, float l_precision)
 
void evaluateGenericDescriptorMatcher (const Mat &img1, const Mat &img2, const Mat &H1to2, vector< KeyPoint > &keypoints1, vector< KeyPoint > &keypoints2, vector< vector< DMatch > > *matches1to2, vector< vector< uchar > > *correctMatches1to2Mask, vector< Point2f > &recallPrecisionCurve, const Ptr< GenericDescriptorMatcher > &dmatch=Ptr< GenericDescriptorMatcher >())
 
void groupRectangles (CV_OUT CV_IN_OUT vector< Rect > &rectList, int groupThreshold, double eps=0.2)
 
void groupRectangles (CV_OUT CV_IN_OUT vector< Rect > &rectList, CV_OUT vector< int > &weights, int groupThreshold, double eps=0.2)
 
void groupRectangles (vector< Rect > &rectList, int groupThreshold, double eps, vector< int > *weights, vector< double > *levelWeights)
 
void groupRectangles (vector< Rect > &rectList, vector< int > &rejectLevels, vector< double > &levelWeights, int groupThreshold, double eps=0.2)
 
void groupRectangles_meanshift (vector< Rect > &rectList, vector< double > &foundWeights, vector< double > &foundScales, double detectThreshold=0.0, Size winDetSize=Size(64, 128))
 
void findDataMatrix (InputArray image, CV_OUT vector< string > &codes, OutputArray corners=noArray(), OutputArrayOfArrays dmtx=noArray())
 
void drawDataMatrixCodes (InputOutputArray image, const vector< string > &codes, InputArray corners)
 
bool initModule_ml (void)
 
void inpaint (InputArray src, InputArray inpaintMask, OutputArray dst, double inpaintRadius, int flags)
 restores the damaged image areas using one of the available intpainting algorithms More...
 
void fastNlMeansDenoising (InputArray src, OutputArray dst, float h=3, int templateWindowSize=7, int searchWindowSize=21)
 
void fastNlMeansDenoisingColored (InputArray src, OutputArray dst, float h=3, float hColor=3, int templateWindowSize=7, int searchWindowSize=21)
 
void fastNlMeansDenoisingMulti (InputArrayOfArrays srcImgs, OutputArray dst, int imgToDenoiseIndex, int temporalWindowSize, float h=3, int templateWindowSize=7, int searchWindowSize=21)
 
void fastNlMeansDenoisingColoredMulti (InputArrayOfArrays srcImgs, OutputArray dst, int imgToDenoiseIndex, int temporalWindowSize, float h=3, float hColor=3, int templateWindowSize=7, int searchWindowSize=21)
 
bool initModule_nonfree ()
 
std::ostream & operator<< (std::ostream &out, const TickMeter &tm)
 
int chamerMatching (Mat &img, Mat &templ, CV_OUT vector< vector< Point > > &results, CV_OUT vector< float > &cost, double templScale=1, int maxMatches=20, double minMatchDistance=1.0, int padX=3, int padY=3, int scales=5, double minScale=0.6, double maxScale=1.6, double orientationWeight=0.5, double truncate=20)
 
void polyfit (const Mat &srcx, const Mat &srcy, Mat &dst, int order)
 
void generateColors (std::vector< Scalar > &colors, size_t count, size_t factor=100)
 
bool RGBDOdometry (Mat &Rt, const Mat &initRt, const Mat &image0, const Mat &depth0, const Mat &mask0, const Mat &image1, const Mat &depth1, const Mat &mask1, const Mat &cameraMatrix, float minDepth=0.f, float maxDepth=4.f, float maxDepthDiff=0.07f, const std::vector< int > &iterCounts=std::vector< int >(), const std::vector< float > &minGradientMagnitudes=std::vector< float >(), int transformType=RIGID_BODY_MOTION)
 
Mat subspaceProject (InputArray W, InputArray mean, InputArray src)
 
Mat subspaceReconstruct (InputArray W, InputArray mean, InputArray src)
 
Ptr< FaceRecognizer > createEigenFaceRecognizer (int num_components=0, double threshold=DBL_MAX)
 
Ptr< FaceRecognizer > createFisherFaceRecognizer (int num_components=0, double threshold=DBL_MAX)
 
Ptr< FaceRecognizer > createLBPHFaceRecognizer (int radius=1, int neighbors=8, int grid_x=8, int grid_y=8, double threshold=DBL_MAX)
 
void applyColorMap (InputArray src, OutputArray dst, int colormap)
 
bool initModule_contrib ()
 
uchar * getData (IplImage *image)
 

Variables

double iterFactor =1.)
 
OutputArray sum
 
OutputArray OutputArray sqsum
 
OutputArray OutputArray int sdepth =-1 )
 
OutputArray OutputArray OutputArray tilted
 
OutputArray dst
 
OutputArray OutputArray labels
 
OutputArray OutputArray int distanceType
 
OutputArray OutputArray int int maskSize
 
OutputArray OutputArray int int int labelType =DIST_LABEL_CCOMP )
 

Detailed Description

Namespace where all the C++ OpenCV functionality resides

Typedef Documentation

§ Affine3d

typedef Affine3<double> cv::Affine3d

§ Affine3f

typedef Affine3<float> cv::Affine3f

§ ANN_MLP_TrainParams

typedef CvANN_MLP_TrainParams cv::ANN_MLP_TrainParams

§ BinaryFunc

typedef void(* cv::BinaryFunc) (const uchar *src1, size_t step1, const uchar *src2, size_t step2, uchar *dst, size_t step, Size sz, void *)

§ Boost

typedef CvBoost cv::Boost

§ BoostParams

typedef CvBoostParams cv::BoostParams

§ BoostTree

typedef CvBoostTree cv::BoostTree

§ BundleAdjustCallback

typedef bool(* cv::BundleAdjustCallback) (int iteration, double norm_error, void *user_data)

§ ButtonCallback

typedef void(CV_CDECL * cv::ButtonCallback) (int state, void *userdata)

§ Complexd

typedef Complex<double> cv::Complexd

§ Complexf

typedef Complex<float> cv::Complexf

§ ConcurrentDoubleVector

typedef std::vector<double> cv::ConcurrentDoubleVector

§ ConcurrentRectVector

typedef std::vector<Rect> cv::ConcurrentRectVector

§ ConvertData

typedef void(* cv::ConvertData) (const void *from, void *to, int cn)

§ ConvertScaleData

typedef void(* cv::ConvertScaleData) (const void *from, void *to, int cn, double alpha, double beta)

§ DecisionTree

typedef CvDTree cv::DecisionTree

§ DTreeParams

typedef CvDTreeParams cv::DTreeParams

§ EMParams

typedef CvEMParams cv::EMParams

§ ErrorCallback

typedef int(CV_CDECL * cv::ErrorCallback) (int status, const char *func_name, const char *err_msg, const char *file_name, int line, void *userdata)

§ ERTree

typedef CvForestERTree cv::ERTree

§ ERTrees

typedef CvERTrees cv::ERTrees

§ ERTreeTRainData

typedef CvERTreeTrainData cv::ERTreeTRainData

§ ExpectationMaximization

typedef CvEM cv::ExpectationMaximization

§ FeatureTracker

typedef CvFeatureTracker cv::FeatureTracker

§ FeatureTrackerParams

typedef CvFeatureTrackerParams cv::FeatureTrackerParams

§ FernDescriptorMatch

typedef FernDescriptorMatcher cv::FernDescriptorMatch

§ ForestTree

typedef CvForestTree cv::ForestTree

§ GenericDescriptorMatch

typedef GenericDescriptorMatcher cv::GenericDescriptorMatch

§ GoodFeaturesToTrackDetector

typedef GFTTDetector cv::GoodFeaturesToTrackDetector

§ GradientBoostingTreeParams

typedef CvGBTreesParams cv::GradientBoostingTreeParams

§ GradientBoostingTrees

typedef CvGBTrees cv::GradientBoostingTrees

§ HammingLUT

typedef Hamming cv::HammingLUT

§ HybridTracker

typedef CvHybridTracker cv::HybridTracker

§ HybridTrackerParams

typedef CvHybridTrackerParams cv::HybridTrackerParams

§ InputArray

typedef const _InputArray& cv::InputArray

§ InputArrayOfArrays

typedef InputArray cv::InputArrayOfArrays

§ InputOutputArray

typedef OutputArray cv::InputOutputArray

§ InputOutputArrayOfArrays

typedef OutputArray cv::InputOutputArrayOfArrays

§ KNearest

typedef CvKNearest cv::KNearest

§ Mat1b

typedef Mat_<uchar> cv::Mat1b

§ Mat1d

typedef Mat_<double> cv::Mat1d

§ Mat1f

typedef Mat_<float> cv::Mat1f

§ Mat1i

typedef Mat_<int> cv::Mat1i

§ Mat1s

typedef Mat_<short> cv::Mat1s

§ Mat1w

typedef Mat_<ushort> cv::Mat1w

§ Mat2b

typedef Mat_<Vec2b> cv::Mat2b

§ Mat2d

typedef Mat_<Vec2d> cv::Mat2d

§ Mat2f

typedef Mat_<Vec2f> cv::Mat2f

§ Mat2i

typedef Mat_<Vec2i> cv::Mat2i

§ Mat2s

typedef Mat_<Vec2s> cv::Mat2s

§ Mat2w

typedef Mat_<Vec2w> cv::Mat2w

§ Mat3b

typedef Mat_<Vec3b> cv::Mat3b

§ Mat3d

typedef Mat_<Vec3d> cv::Mat3d

§ Mat3f

typedef Mat_<Vec3f> cv::Mat3f

§ Mat3i

typedef Mat_<Vec3i> cv::Mat3i

§ Mat3s

typedef Mat_<Vec3s> cv::Mat3s

§ Mat3w

typedef Mat_<Vec3w> cv::Mat3w

§ Mat4b

typedef Mat_<Vec4b> cv::Mat4b

§ Mat4d

typedef Mat_<Vec4d> cv::Mat4d

§ Mat4f

typedef Mat_<Vec4f> cv::Mat4f

§ Mat4i

typedef Mat_<Vec4i> cv::Mat4i

§ Mat4s

typedef Mat_<Vec4s> cv::Mat4s

§ Mat4w

typedef Mat_<Vec4w> cv::Mat4w

§ MatND

typedef Mat cv::MatND

§ Matx12d

typedef Matx<double, 1, 2> cv::Matx12d

§ Matx12f

typedef Matx<float, 1, 2> cv::Matx12f

§ Matx13d

typedef Matx<double, 1, 3> cv::Matx13d

§ Matx13f

typedef Matx<float, 1, 3> cv::Matx13f

§ Matx14d

typedef Matx<double, 1, 4> cv::Matx14d

§ Matx14f

typedef Matx<float, 1, 4> cv::Matx14f

§ Matx16d

typedef Matx<double, 1, 6> cv::Matx16d

§ Matx16f

typedef Matx<float, 1, 6> cv::Matx16f

§ Matx21d

typedef Matx<double, 2, 1> cv::Matx21d

§ Matx21f

typedef Matx<float, 2, 1> cv::Matx21f

§ Matx22d

typedef Matx<double, 2, 2> cv::Matx22d

§ Matx22f

typedef Matx<float, 2, 2> cv::Matx22f

§ Matx23d

typedef Matx<double, 2, 3> cv::Matx23d

§ Matx23f

typedef Matx<float, 2, 3> cv::Matx23f

§ Matx31d

typedef Matx<double, 3, 1> cv::Matx31d

§ Matx31f

typedef Matx<float, 3, 1> cv::Matx31f

§ Matx32d

typedef Matx<double, 3, 2> cv::Matx32d

§ Matx32f

typedef Matx<float, 3, 2> cv::Matx32f

§ Matx33d

typedef Matx<double, 3, 3> cv::Matx33d

§ Matx33f

typedef Matx<float, 3, 3> cv::Matx33f

§ Matx34d

typedef Matx<double, 3, 4> cv::Matx34d

§ Matx34f

typedef Matx<float, 3, 4> cv::Matx34f

§ Matx41d

typedef Matx<double, 4, 1> cv::Matx41d

§ Matx41f

typedef Matx<float, 4, 1> cv::Matx41f

§ Matx43d

typedef Matx<double, 4, 3> cv::Matx43d

§ Matx43f

typedef Matx<float, 4, 3> cv::Matx43f

§ Matx44d

typedef Matx<double, 4, 4> cv::Matx44d

§ Matx44f

typedef Matx<float, 4, 4> cv::Matx44f

§ Matx61d

typedef Matx<double, 6, 1> cv::Matx61d

§ Matx61f

typedef Matx<float, 6, 1> cv::Matx61f

§ Matx66d

typedef Matx<double, 6, 6> cv::Matx66d

§ Matx66f

typedef Matx<float, 6, 6> cv::Matx66f

§ MeanShiftTracker

typedef CvMeanShiftTracker cv::MeanShiftTracker

§ MeanShiftTrackerParams

typedef CvMeanShiftTrackerParams cv::MeanShiftTrackerParams

§ MemStorage

typedef Ptr<CvMemStorage> cv::MemStorage

§ MotionModel

typedef CvMotionModel cv::MotionModel

§ MouseCallback

typedef void(* cv::MouseCallback) (int event, int x, int y, int flags, void *userdata)

§ MserFeatureDetector

typedef MSER cv::MserFeatureDetector

§ NeuralNet_MLP

typedef CvANN_MLP cv::NeuralNet_MLP

§ NormalBayesClassifier

typedef CvNormalBayesClassifier cv::NormalBayesClassifier

§ OneWayDescriptorMatch

typedef OneWayDescriptorMatcher cv::OneWayDescriptorMatch

§ OpenGlDrawCallback

typedef void(* cv::OpenGlDrawCallback) (void *userdata)

§ OrbDescriptorExtractor

typedef ORB cv::OrbDescriptorExtractor

§ OrbFeatureDetector

typedef ORB cv::OrbFeatureDetector

§ OutputArray

typedef const _OutputArray& cv::OutputArray

§ OutputArrayOfArrays

typedef OutputArray cv::OutputArrayOfArrays

§ ParamGrid

typedef CvParamGrid cv::ParamGrid

§ Point

typedef Point2i cv::Point

§ Point2d

typedef Point_<double> cv::Point2d

§ Point2f

typedef Point_<float> cv::Point2f

§ Point2i

typedef Point_<int> cv::Point2i

§ Point3d

typedef Point3_<double> cv::Point3d

§ Point3f

typedef Point3_<float> cv::Point3f

§ Point3i

typedef Point3_<int> cv::Point3i

§ RandomTreeParams

typedef CvRTParams cv::RandomTreeParams

§ RandomTrees

typedef CvRTrees cv::RandomTrees

§ Rect

typedef Rect_<int> cv::Rect

§ Scalar

typedef Scalar_<double> cv::Scalar

§ SiftDescriptorExtractor

typedef SIFT cv::SiftDescriptorExtractor

§ SiftFeatureDetector

typedef SIFT cv::SiftFeatureDetector

§ Size

typedef Size2i cv::Size

§ Size2d

typedef Size_<double> cv::Size2d

§ Size2f

typedef Size_<float> cv::Size2f

§ Size2i

typedef Size_<int> cv::Size2i

§ StarFeatureDetector

typedef StarDetector cv::StarFeatureDetector

§ StatModel

typedef CvStatModel cv::StatModel

§ String

typedef std::string cv::String

§ SurfDescriptorExtractor

typedef SURF cv::SurfDescriptorExtractor

§ SurfFeatureDetector

typedef SURF cv::SurfFeatureDetector

§ SVM

typedef CvSVM cv::SVM

§ SVMKernel

typedef CvSVMKernel cv::SVMKernel

§ SVMParams

typedef CvSVMParams cv::SVMParams

§ SVMSolver

typedef CvSVMSolver cv::SVMSolver

§ TrackbarCallback

typedef void(CV_CDECL * cv::TrackbarCallback) (int pos, void *userdata)

§ TrainData

typedef CvMLData cv::TrainData

§ Vec2b

typedef Vec<uchar, 2> cv::Vec2b

§ Vec2d

typedef Vec<double, 2> cv::Vec2d

§ Vec2f

typedef Vec<float, 2> cv::Vec2f

§ Vec2i

typedef Vec<int, 2> cv::Vec2i

§ Vec2s

typedef Vec<short, 2> cv::Vec2s

§ Vec2w

typedef Vec<ushort, 2> cv::Vec2w

§ Vec3b

typedef Vec<uchar, 3> cv::Vec3b

§ Vec3d

typedef Vec<double, 3> cv::Vec3d

§ Vec3f

typedef Vec<float, 3> cv::Vec3f

§ Vec3i

typedef Vec<int, 3> cv::Vec3i

§ Vec3s

typedef Vec<short, 3> cv::Vec3s

§ Vec3w

typedef Vec<ushort, 3> cv::Vec3w

§ Vec4b

typedef Vec<uchar, 4> cv::Vec4b

§ Vec4d

typedef Vec<double, 4> cv::Vec4d

§ Vec4f

typedef Vec<float, 4> cv::Vec4f

§ Vec4i

typedef Vec<int, 4> cv::Vec4i

§ Vec4s

typedef Vec<short, 4> cv::Vec4s

§ Vec4w

typedef Vec<ushort, 4> cv::Vec4w

§ Vec6d

typedef Vec<double, 6> cv::Vec6d

§ Vec6f

typedef Vec<float, 6> cv::Vec6f

§ Vec6i

typedef Vec<int, 6> cv::Vec6i

§ Vec8i

typedef Vec<int, 8> cv::Vec8i

§ VectorDescriptorMatch

typedef VectorDescriptorMatcher cv::VectorDescriptorMatch

§ WImage1_16s

typedef WImageC<short, 1> cv::WImage1_16s

§ WImage1_16u

typedef WImageC<ushort, 1> cv::WImage1_16u

§ WImage1_b

typedef WImageC<uchar, 1> cv::WImage1_b

§ WImage1_f

typedef WImageC<float, 1> cv::WImage1_f

§ WImage3_16s

typedef WImageC<short, 3> cv::WImage3_16s

§ WImage3_16u

typedef WImageC<ushort, 3> cv::WImage3_16u

§ WImage3_b

typedef WImageC<uchar, 3> cv::WImage3_b

§ WImage3_f

typedef WImageC<float, 3> cv::WImage3_f

§ WImage_16s

typedef WImage<short> cv::WImage_16s

§ WImage_16u

typedef WImage<ushort> cv::WImage_16u

§ WImage_b

typedef WImage<uchar> cv::WImage_b

§ WImage_f

typedef WImage<float> cv::WImage_f

§ WImageBuffer1_16s

typedef WImageBufferC<short, 1> cv::WImageBuffer1_16s

§ WImageBuffer1_16u

typedef WImageBufferC<ushort, 1> cv::WImageBuffer1_16u

§ WImageBuffer1_b

typedef WImageBufferC<uchar, 1> cv::WImageBuffer1_b

§ WImageBuffer1_f

typedef WImageBufferC<float, 1> cv::WImageBuffer1_f

§ WImageBuffer3_16s

typedef WImageBufferC<short, 3> cv::WImageBuffer3_16s

§ WImageBuffer3_16u

typedef WImageBufferC<ushort, 3> cv::WImageBuffer3_16u

§ WImageBuffer3_b

typedef WImageBufferC<uchar, 3> cv::WImageBuffer3_b

§ WImageBuffer3_f

typedef WImageBufferC<float, 3> cv::WImageBuffer3_f

§ WImageBuffer_16s

typedef WImageBuffer<short> cv::WImageBuffer_16s

§ WImageBuffer_16u

typedef WImageBuffer<ushort> cv::WImageBuffer_16u

§ WImageBuffer_b

typedef WImageBuffer<uchar> cv::WImageBuffer_b

§ WImageBuffer_f

typedef WImageBuffer<float> cv::WImageBuffer_f

§ WImageView1_16s

typedef WImageViewC<short, 1> cv::WImageView1_16s

§ WImageView1_16u

typedef WImageViewC<ushort, 1> cv::WImageView1_16u

§ WImageView1_b

typedef WImageViewC<uchar, 1> cv::WImageView1_b

§ WImageView1_f

typedef WImageViewC<float, 1> cv::WImageView1_f

§ WImageView3_16s

typedef WImageViewC<short, 3> cv::WImageView3_16s

§ WImageView3_16u

typedef WImageViewC<ushort, 3> cv::WImageView3_16u

§ WImageView3_b

typedef WImageViewC<uchar, 3> cv::WImageView3_b

§ WImageView3_f

typedef WImageViewC<float, 3> cv::WImageView3_f

§ WImageView_16s

typedef WImageView<short> cv::WImageView_16s

§ WImageView_16u

typedef WImageView<ushort> cv::WImageView_16u

§ WImageView_b

typedef WImageView<uchar> cv::WImageView_b

§ WImageView_f

typedef WImageView<float> cv::WImageView_f

§ WString

typedef std::basic_string<wchar_t> cv::WString

§ YAPE

typedef LDetector cv::YAPE

Enumeration Type Documentation

§ anonymous enum

anonymous enum
Enumerator
GEMM_1_T 
GEMM_2_T 
GEMM_3_T 

§ anonymous enum

anonymous enum

the contour approximation algorithm

Enumerator
CHAIN_APPROX_NONE 
CHAIN_APPROX_SIMPLE 
CHAIN_APPROX_TC89_L1 
CHAIN_APPROX_TC89_KCOS 

§ anonymous enum

anonymous enum
Enumerator
DFT_INVERSE 
DFT_SCALE 
DFT_ROWS 
DFT_COMPLEX_OUTPUT 
DFT_REAL_OUTPUT 
DCT_INVERSE 
DCT_ROWS 

§ anonymous enum

anonymous enum
Enumerator
DEPTH_MASK_8U 
DEPTH_MASK_8S 
DEPTH_MASK_16U 
DEPTH_MASK_16S 
DEPTH_MASK_32S 
DEPTH_MASK_32F 
DEPTH_MASK_64F 
DEPTH_MASK_ALL 
DEPTH_MASK_ALL_BUT_8S 
DEPTH_MASK_FLT 

§ anonymous enum

anonymous enum
Enumerator
WINDOW_NORMAL 
WINDOW_AUTOSIZE 
WINDOW_OPENGL 
WND_PROP_FULLSCREEN 
WND_PROP_AUTOSIZE 
WND_PROP_ASPECT_RATIO 
WND_PROP_OPENGL 

§ anonymous enum

anonymous enum
Enumerator
EVENT_MOUSEMOVE 
EVENT_LBUTTONDOWN 
EVENT_RBUTTONDOWN 
EVENT_MBUTTONDOWN 
EVENT_LBUTTONUP 
EVENT_RBUTTONUP 
EVENT_MBUTTONUP 
EVENT_LBUTTONDBLCLK 
EVENT_RBUTTONDBLCLK 
EVENT_MBUTTONDBLCLK 

§ anonymous enum

anonymous enum
Enumerator
EVENT_FLAG_LBUTTON 
EVENT_FLAG_RBUTTON 
EVENT_FLAG_MBUTTON 
EVENT_FLAG_CTRLKEY 
EVENT_FLAG_SHIFTKEY 
EVENT_FLAG_ALTKEY 

§ anonymous enum

anonymous enum
Enumerator
IMREAD_UNCHANGED 
IMREAD_GRAYSCALE 
IMREAD_COLOR 
IMREAD_ANYDEPTH 
IMREAD_ANYCOLOR 

§ anonymous enum

anonymous enum
Enumerator
MAGIC_MASK 
TYPE_MASK 
DEPTH_MASK 

§ anonymous enum

anonymous enum
Enumerator
IMWRITE_JPEG_QUALITY 
IMWRITE_PNG_COMPRESSION 
IMWRITE_PNG_STRATEGY 
IMWRITE_PNG_BILEVEL 
IMWRITE_PNG_STRATEGY_DEFAULT 
IMWRITE_PNG_STRATEGY_FILTERED 
IMWRITE_PNG_STRATEGY_HUFFMAN_ONLY 
IMWRITE_PNG_STRATEGY_RLE 
IMWRITE_PNG_STRATEGY_FIXED 
IMWRITE_PXM_BINARY 

§ anonymous enum

anonymous enum
Enumerator
SORT_EVERY_ROW 
SORT_EVERY_COLUMN 
SORT_ASCENDING 
SORT_DESCENDING 

§ anonymous enum

anonymous enum
Enumerator
COVAR_SCRAMBLED 
COVAR_NORMAL 
COVAR_USE_AVG 
COVAR_SCALE 
COVAR_ROWS 
COVAR_COLS 

§ anonymous enum

anonymous enum
Enumerator
OPTFLOW_USE_INITIAL_FLOW 
OPTFLOW_LK_GET_MIN_EIGENVALS 
OPTFLOW_FARNEBACK_GAUSSIAN 

§ anonymous enum

anonymous enum

type of the robust estimation algorithm

Enumerator
LMEDS 

least-median algorithm

RANSAC 

RANSAC algorithm.

§ anonymous enum

anonymous enum

computes the camera pose from a few 3D points and the corresponding projections. The outliers are not handled.

Enumerator
ITERATIVE 
EPNP 
P3P 

§ anonymous enum

anonymous enum
Enumerator
CALIB_CB_ADAPTIVE_THRESH 
CALIB_CB_NORMALIZE_IMAGE 
CALIB_CB_FILTER_QUADS 
CALIB_CB_FAST_CHECK 

§ anonymous enum

anonymous enum
Enumerator
CALIB_CB_SYMMETRIC_GRID 
CALIB_CB_ASYMMETRIC_GRID 
CALIB_CB_CLUSTERING 

§ anonymous enum

anonymous enum
Enumerator
CALIB_USE_INTRINSIC_GUESS 
CALIB_FIX_ASPECT_RATIO 
CALIB_FIX_PRINCIPAL_POINT 
CALIB_ZERO_TANGENT_DIST 
CALIB_FIX_FOCAL_LENGTH 
CALIB_FIX_K1 
CALIB_FIX_K2 
CALIB_FIX_K3 
CALIB_FIX_K4 
CALIB_FIX_K5 
CALIB_FIX_K6 
CALIB_RATIONAL_MODEL 
CALIB_FIX_INTRINSIC 
CALIB_SAME_FOCAL_LENGTH 
CALIB_ZERO_DISPARITY 

§ anonymous enum

anonymous enum

the algorithm for finding fundamental matrix

Enumerator
FM_7POINT 

7-point algorithm

FM_8POINT 

8-point algorithm

FM_LMEDS 

least-median algorithm

FM_RANSAC 

RANSAC algorithm.

§ anonymous enum

anonymous enum

Various k-Means flags

Enumerator
KMEANS_RANDOM_CENTERS 
KMEANS_PP_CENTERS 
KMEANS_USE_INITIAL_LABELS 

§ anonymous enum

anonymous enum
Enumerator
FONT_HERSHEY_SIMPLEX 
FONT_HERSHEY_PLAIN 
FONT_HERSHEY_DUPLEX 
FONT_HERSHEY_COMPLEX 
FONT_HERSHEY_TRIPLEX 
FONT_HERSHEY_COMPLEX_SMALL 
FONT_HERSHEY_SCRIPT_SIMPLEX 
FONT_HERSHEY_SCRIPT_COMPLEX 
FONT_ITALIC 

§ anonymous enum

anonymous enum
Enumerator
CASCADE_DO_CANNY_PRUNING 
CASCADE_SCALE_IMAGE 
CASCADE_FIND_BIGGEST_OBJECT 
CASCADE_DO_ROUGH_SEARCH 

§ anonymous enum

anonymous enum

the inpainting algorithm

Enumerator
INPAINT_NS 
INPAINT_TELEA 

§ anonymous enum

anonymous enum
Enumerator
ROTATION 
TRANSLATION 
RIGID_BODY_MOTION 

§ anonymous enum

anonymous enum
Enumerator
COLORMAP_AUTUMN 
COLORMAP_BONE 
COLORMAP_JET 
COLORMAP_WINTER 
COLORMAP_RAINBOW 
COLORMAP_OCEAN 
COLORMAP_SUMMER 
COLORMAP_SPRING 
COLORMAP_COOL 
COLORMAP_HSV 
COLORMAP_PINK 
COLORMAP_HOT 

§ anonymous enum

anonymous enum
Enumerator
DECOMP_LU 
DECOMP_SVD 
DECOMP_EIG 
DECOMP_CHOLESKY 
DECOMP_QR 
DECOMP_NORMAL 

§ anonymous enum

anonymous enum
Enumerator
NORM_INF 
NORM_L1 
NORM_L2 
NORM_L2SQR 
NORM_HAMMING 
NORM_HAMMING2 
NORM_TYPE_MASK 
NORM_RELATIVE 
NORM_MINMAX 

§ anonymous enum

anonymous enum

various border interpolation methods

Enumerator
BORDER_REPLICATE 
BORDER_CONSTANT 
BORDER_REFLECT 
BORDER_WRAP 
BORDER_REFLECT_101 
BORDER_REFLECT101 
BORDER_TRANSPARENT 
BORDER_DEFAULT 
BORDER_ISOLATED 

§ anonymous enum

anonymous enum

type of the kernel

Enumerator
KERNEL_GENERAL 
KERNEL_SYMMETRICAL 
KERNEL_ASYMMETRICAL 
KERNEL_SMOOTH 
KERNEL_INTEGER 

§ anonymous enum

anonymous enum

type of morphological operation

Enumerator
MORPH_ERODE 
MORPH_DILATE 
MORPH_OPEN 
MORPH_CLOSE 
MORPH_GRADIENT 
MORPH_TOPHAT 
MORPH_BLACKHAT 
MORPH_HITMISS 

§ anonymous enum

anonymous enum

shape of the structuring element

Enumerator
MORPH_RECT 
MORPH_CROSS 
MORPH_ELLIPSE 

§ anonymous enum

anonymous enum
Enumerator
GHT_POSITION 
GHT_SCALE 
GHT_ROTATION 

§ anonymous enum

anonymous enum

interpolation algorithm

Enumerator
INTER_NEAREST 

nearest neighbor interpolation

INTER_LINEAR 

bilinear interpolation

INTER_CUBIC 

bicubic interpolation

INTER_AREA 

area-based (or super) interpolation

INTER_LANCZOS4 

Lanczos interpolation over 8x8 neighborhood.

INTER_MAX 
WARP_INVERSE_MAP 

§ anonymous enum

anonymous enum
Enumerator
INTER_BITS 
INTER_BITS2 
INTER_TAB_SIZE 
INTER_TAB_SIZE2 

§ anonymous enum

anonymous enum
Enumerator
CMP_EQ 
CMP_GT 
CMP_GE 
CMP_LT 
CMP_LE 
CMP_NE 

§ anonymous enum

anonymous enum

type of the threshold operation

Enumerator
THRESH_BINARY 
THRESH_BINARY_INV 
THRESH_TRUNC 
THRESH_TOZERO 
THRESH_TOZERO_INV 
THRESH_MASK 
THRESH_OTSU 

§ anonymous enum

anonymous enum

adaptive threshold algorithm

Enumerator
ADAPTIVE_THRESH_MEAN_C 
ADAPTIVE_THRESH_GAUSSIAN_C 

§ anonymous enum

anonymous enum
Enumerator
PROJ_SPHERICAL_ORTHO 
PROJ_SPHERICAL_EQRECT 

§ anonymous enum

anonymous enum

class of the pixel in GrabCut algorithm

Enumerator
GC_BGD 

background

GC_FGD 

foreground

GC_PR_BGD 

most probably background

GC_PR_FGD 

most probably foreground

§ anonymous enum

anonymous enum

GrabCut algorithm flags.

Enumerator
GC_INIT_WITH_RECT 
GC_INIT_WITH_MASK 
GC_EVAL 

§ anonymous enum

anonymous enum
Enumerator
DIST_LABEL_CCOMP 
DIST_LABEL_PIXEL 

§ anonymous enum

anonymous enum
Enumerator
FLOODFILL_FIXED_RANGE