OpenCV  3.4.0-rc
Open Source Computer Vision
Classes | Macros | Typedefs | Enumerations | Functions

Classes

struct  CvChainPtReader
 
struct  CvConnectedComp
 
struct  CvConvexityDefect
 
struct  CvFont
 
struct  CvHuMoments
 
struct  CvMoments
 

Macros

#define CV_AA   16
 
#define CV_FILLED   -1
 
#define CV_FONT_HERSHEY_COMPLEX   3
 
#define CV_FONT_HERSHEY_COMPLEX_SMALL   5
 
#define CV_FONT_HERSHEY_DUPLEX   2
 
#define CV_FONT_HERSHEY_PLAIN   1
 
#define CV_FONT_HERSHEY_SCRIPT_COMPLEX   7
 
#define CV_FONT_HERSHEY_SCRIPT_SIMPLEX   6
 
#define CV_FONT_HERSHEY_SIMPLEX   0
 
#define CV_FONT_HERSHEY_TRIPLEX   4
 
#define CV_FONT_ITALIC   16
 
#define CV_FONT_VECTOR0   CV_FONT_HERSHEY_SIMPLEX
 
#define CV_INIT_3X3_DELTAS(deltas, step, nch)
 
#define CV_NEXT_LINE_POINT(line_iterator)
 
#define CV_RGB(r, g, b)   cvScalar( (b), (g), (r), 0 )
 
#define cvCalcBackProject(image, dst, hist)   cvCalcArrBackProject((CvArr**)image, dst, hist)
 
#define cvCalcBackProjectPatch(image, dst, range, hist, method, factor)   cvCalcArrBackProjectPatch( (CvArr**)image, dst, range, hist, method, factor )
 
#define cvDrawCircle   cvCircle
 
#define cvDrawEllipse   cvEllipse
 
#define cvDrawLine   cvLine
 
#define cvDrawPolyLine   cvPolyLine
 
#define cvDrawRect   cvRectangle
 

Typedefs

typedef struct _CvContourScanner * CvContourScanner
 
typedef float(* CvDistanceFunction) (const float *a, const float *b, void *user_param)
 

Enumerations

enum  { CV_GAUSSIAN_5x5 = 7 }
 
enum  {
  CV_SCHARR =-1,
  CV_MAX_SOBEL_KSIZE =7
}
 
enum  {
  CV_BGR2BGRA =0,
  CV_RGB2RGBA =CV_BGR2BGRA,
  CV_BGRA2BGR =1,
  CV_RGBA2RGB =CV_BGRA2BGR,
  CV_BGR2RGBA =2,
  CV_RGB2BGRA =CV_BGR2RGBA,
  CV_RGBA2BGR =3,
  CV_BGRA2RGB =CV_RGBA2BGR,
  CV_BGR2RGB =4,
  CV_RGB2BGR =CV_BGR2RGB,
  CV_BGRA2RGBA =5,
  CV_RGBA2BGRA =CV_BGRA2RGBA,
  CV_BGR2GRAY =6,
  CV_RGB2GRAY =7,
  CV_GRAY2BGR =8,
  CV_GRAY2RGB =CV_GRAY2BGR,
  CV_GRAY2BGRA =9,
  CV_GRAY2RGBA =CV_GRAY2BGRA,
  CV_BGRA2GRAY =10,
  CV_RGBA2GRAY =11,
  CV_BGR2BGR565 =12,
  CV_RGB2BGR565 =13,
  CV_BGR5652BGR =14,
  CV_BGR5652RGB =15,
  CV_BGRA2BGR565 =16,
  CV_RGBA2BGR565 =17,
  CV_BGR5652BGRA =18,
  CV_BGR5652RGBA =19,
  CV_GRAY2BGR565 =20,
  CV_BGR5652GRAY =21,
  CV_BGR2BGR555 =22,
  CV_RGB2BGR555 =23,
  CV_BGR5552BGR =24,
  CV_BGR5552RGB =25,
  CV_BGRA2BGR555 =26,
  CV_RGBA2BGR555 =27,
  CV_BGR5552BGRA =28,
  CV_BGR5552RGBA =29,
  CV_GRAY2BGR555 =30,
  CV_BGR5552GRAY =31,
  CV_BGR2XYZ =32,
  CV_RGB2XYZ =33,
  CV_XYZ2BGR =34,
  CV_XYZ2RGB =35,
  CV_BGR2YCrCb =36,
  CV_RGB2YCrCb =37,
  CV_YCrCb2BGR =38,
  CV_YCrCb2RGB =39,
  CV_BGR2HSV =40,
  CV_RGB2HSV =41,
  CV_BGR2Lab =44,
  CV_RGB2Lab =45,
  CV_BayerBG2BGR =46,
  CV_BayerGB2BGR =47,
  CV_BayerRG2BGR =48,
  CV_BayerGR2BGR =49,
  CV_BayerBG2RGB =CV_BayerRG2BGR,
  CV_BayerGB2RGB =CV_BayerGR2BGR,
  CV_BayerRG2RGB =CV_BayerBG2BGR,
  CV_BayerGR2RGB =CV_BayerGB2BGR,
  CV_BGR2Luv =50,
  CV_RGB2Luv =51,
  CV_BGR2HLS =52,
  CV_RGB2HLS =53,
  CV_HSV2BGR =54,
  CV_HSV2RGB =55,
  CV_Lab2BGR =56,
  CV_Lab2RGB =57,
  CV_Luv2BGR =58,
  CV_Luv2RGB =59,
  CV_HLS2BGR =60,
  CV_HLS2RGB =61,
  CV_BayerBG2BGR_VNG =62,
  CV_BayerGB2BGR_VNG =63,
  CV_BayerRG2BGR_VNG =64,
  CV_BayerGR2BGR_VNG =65,
  CV_BayerBG2RGB_VNG =CV_BayerRG2BGR_VNG,
  CV_BayerGB2RGB_VNG =CV_BayerGR2BGR_VNG,
  CV_BayerRG2RGB_VNG =CV_BayerBG2BGR_VNG,
  CV_BayerGR2RGB_VNG =CV_BayerGB2BGR_VNG,
  CV_BGR2HSV_FULL = 66,
  CV_RGB2HSV_FULL = 67,
  CV_BGR2HLS_FULL = 68,
  CV_RGB2HLS_FULL = 69,
  CV_HSV2BGR_FULL = 70,
  CV_HSV2RGB_FULL = 71,
  CV_HLS2BGR_FULL = 72,
  CV_HLS2RGB_FULL = 73,
  CV_LBGR2Lab = 74,
  CV_LRGB2Lab = 75,
  CV_LBGR2Luv = 76,
  CV_LRGB2Luv = 77,
  CV_Lab2LBGR = 78,
  CV_Lab2LRGB = 79,
  CV_Luv2LBGR = 80,
  CV_Luv2LRGB = 81,
  CV_BGR2YUV = 82,
  CV_RGB2YUV = 83,
  CV_YUV2BGR = 84,
  CV_YUV2RGB = 85,
  CV_BayerBG2GRAY = 86,
  CV_BayerGB2GRAY = 87,
  CV_BayerRG2GRAY = 88,
  CV_BayerGR2GRAY = 89,
  CV_YUV2RGB_NV12 = 90,
  CV_YUV2BGR_NV12 = 91,
  CV_YUV2RGB_NV21 = 92,
  CV_YUV2BGR_NV21 = 93,
  CV_YUV420sp2RGB = CV_YUV2RGB_NV21,
  CV_YUV420sp2BGR = CV_YUV2BGR_NV21,
  CV_YUV2RGBA_NV12 = 94,
  CV_YUV2BGRA_NV12 = 95,
  CV_YUV2RGBA_NV21 = 96,
  CV_YUV2BGRA_NV21 = 97,
  CV_YUV420sp2RGBA = CV_YUV2RGBA_NV21,
  CV_YUV420sp2BGRA = CV_YUV2BGRA_NV21,
  CV_YUV2RGB_YV12 = 98,
  CV_YUV2BGR_YV12 = 99,
  CV_YUV2RGB_IYUV = 100,
  CV_YUV2BGR_IYUV = 101,
  CV_YUV2RGB_I420 = CV_YUV2RGB_IYUV,
  CV_YUV2BGR_I420 = CV_YUV2BGR_IYUV,
  CV_YUV420p2RGB = CV_YUV2RGB_YV12,
  CV_YUV420p2BGR = CV_YUV2BGR_YV12,
  CV_YUV2RGBA_YV12 = 102,
  CV_YUV2BGRA_YV12 = 103,
  CV_YUV2RGBA_IYUV = 104,
  CV_YUV2BGRA_IYUV = 105,
  CV_YUV2RGBA_I420 = CV_YUV2RGBA_IYUV,
  CV_YUV2BGRA_I420 = CV_YUV2BGRA_IYUV,
  CV_YUV420p2RGBA = CV_YUV2RGBA_YV12,
  CV_YUV420p2BGRA = CV_YUV2BGRA_YV12,
  CV_YUV2GRAY_420 = 106,
  CV_YUV2GRAY_NV21 = CV_YUV2GRAY_420,
  CV_YUV2GRAY_NV12 = CV_YUV2GRAY_420,
  CV_YUV2GRAY_YV12 = CV_YUV2GRAY_420,
  CV_YUV2GRAY_IYUV = CV_YUV2GRAY_420,
  CV_YUV2GRAY_I420 = CV_YUV2GRAY_420,
  CV_YUV420sp2GRAY = CV_YUV2GRAY_420,
  CV_YUV420p2GRAY = CV_YUV2GRAY_420,
  CV_YUV2RGB_UYVY = 107,
  CV_YUV2BGR_UYVY = 108,
  CV_YUV2RGB_Y422 = CV_YUV2RGB_UYVY,
  CV_YUV2BGR_Y422 = CV_YUV2BGR_UYVY,
  CV_YUV2RGB_UYNV = CV_YUV2RGB_UYVY,
  CV_YUV2BGR_UYNV = CV_YUV2BGR_UYVY,
  CV_YUV2RGBA_UYVY = 111,
  CV_YUV2BGRA_UYVY = 112,
  CV_YUV2RGBA_Y422 = CV_YUV2RGBA_UYVY,
  CV_YUV2BGRA_Y422 = CV_YUV2BGRA_UYVY,
  CV_YUV2RGBA_UYNV = CV_YUV2RGBA_UYVY,
  CV_YUV2BGRA_UYNV = CV_YUV2BGRA_UYVY,
  CV_YUV2RGB_YUY2 = 115,
  CV_YUV2BGR_YUY2 = 116,
  CV_YUV2RGB_YVYU = 117,
  CV_YUV2BGR_YVYU = 118,
  CV_YUV2RGB_YUYV = CV_YUV2RGB_YUY2,
  CV_YUV2BGR_YUYV = CV_YUV2BGR_YUY2,
  CV_YUV2RGB_YUNV = CV_YUV2RGB_YUY2,
  CV_YUV2BGR_YUNV = CV_YUV2BGR_YUY2,
  CV_YUV2RGBA_YUY2 = 119,
  CV_YUV2BGRA_YUY2 = 120,
  CV_YUV2RGBA_YVYU = 121,
  CV_YUV2BGRA_YVYU = 122,
  CV_YUV2RGBA_YUYV = CV_YUV2RGBA_YUY2,
  CV_YUV2BGRA_YUYV = CV_YUV2BGRA_YUY2,
  CV_YUV2RGBA_YUNV = CV_YUV2RGBA_YUY2,
  CV_YUV2BGRA_YUNV = CV_YUV2BGRA_YUY2,
  CV_YUV2GRAY_UYVY = 123,
  CV_YUV2GRAY_YUY2 = 124,
  CV_YUV2GRAY_Y422 = CV_YUV2GRAY_UYVY,
  CV_YUV2GRAY_UYNV = CV_YUV2GRAY_UYVY,
  CV_YUV2GRAY_YVYU = CV_YUV2GRAY_YUY2,
  CV_YUV2GRAY_YUYV = CV_YUV2GRAY_YUY2,
  CV_YUV2GRAY_YUNV = CV_YUV2GRAY_YUY2,
  CV_RGBA2mRGBA = 125,
  CV_mRGBA2RGBA = 126,
  CV_RGB2YUV_I420 = 127,
  CV_BGR2YUV_I420 = 128,
  CV_RGB2YUV_IYUV = CV_RGB2YUV_I420,
  CV_BGR2YUV_IYUV = CV_BGR2YUV_I420,
  CV_RGBA2YUV_I420 = 129,
  CV_BGRA2YUV_I420 = 130,
  CV_RGBA2YUV_IYUV = CV_RGBA2YUV_I420,
  CV_BGRA2YUV_IYUV = CV_BGRA2YUV_I420,
  CV_RGB2YUV_YV12 = 131,
  CV_BGR2YUV_YV12 = 132,
  CV_RGBA2YUV_YV12 = 133,
  CV_BGRA2YUV_YV12 = 134,
  CV_BayerBG2BGR_EA = 135,
  CV_BayerGB2BGR_EA = 136,
  CV_BayerRG2BGR_EA = 137,
  CV_BayerGR2BGR_EA = 138,
  CV_BayerBG2RGB_EA = CV_BayerRG2BGR_EA,
  CV_BayerGB2RGB_EA = CV_BayerGR2BGR_EA,
  CV_BayerRG2RGB_EA = CV_BayerBG2BGR_EA,
  CV_BayerGR2RGB_EA = CV_BayerGB2BGR_EA,
  CV_BayerBG2BGRA =139,
  CV_BayerGB2BGRA =140,
  CV_BayerRG2BGRA =141,
  CV_BayerGR2BGRA =142,
  CV_BayerBG2RGBA =CV_BayerRG2BGRA,
  CV_BayerGB2RGBA =CV_BayerGR2BGRA,
  CV_BayerRG2RGBA =CV_BayerBG2BGRA,
  CV_BayerGR2RGBA =CV_BayerGB2BGRA,
  CV_COLORCVT_MAX = 143
}
 
enum  {
  CV_INTER_NN =0,
  CV_INTER_LINEAR =1,
  CV_INTER_CUBIC =2,
  CV_INTER_AREA =3,
  CV_INTER_LANCZOS4 =4
}
 
enum  {
  CV_WARP_FILL_OUTLIERS =8,
  CV_WARP_INVERSE_MAP =16
}
 
enum  {
  CV_MOP_ERODE =0,
  CV_MOP_DILATE =1,
  CV_MOP_OPEN =2,
  CV_MOP_CLOSE =3,
  CV_MOP_GRADIENT =4,
  CV_MOP_TOPHAT =5,
  CV_MOP_BLACKHAT =6
}
 
enum  {
  CV_TM_SQDIFF =0,
  CV_TM_SQDIFF_NORMED =1,
  CV_TM_CCORR =2,
  CV_TM_CCORR_NORMED =3,
  CV_TM_CCOEFF =4,
  CV_TM_CCOEFF_NORMED =5
}
 
enum  {
  CV_RETR_EXTERNAL =0,
  CV_RETR_LIST =1,
  CV_RETR_CCOMP =2,
  CV_RETR_TREE =3,
  CV_RETR_FLOODFILL =4
}
 
enum  {
  CV_CHAIN_CODE =0,
  CV_CHAIN_APPROX_NONE =1,
  CV_CHAIN_APPROX_SIMPLE =2,
  CV_CHAIN_APPROX_TC89_L1 =3,
  CV_CHAIN_APPROX_TC89_KCOS =4,
  CV_LINK_RUNS =5
}
 
enum  { CV_POLY_APPROX_DP = 0 }
 
enum  {
  CV_CONTOURS_MATCH_I1 =1,
  CV_CONTOURS_MATCH_I2 =2,
  CV_CONTOURS_MATCH_I3 =3
}
 
enum  {
  CV_CLOCKWISE =1,
  CV_COUNTER_CLOCKWISE =2
}
 
enum  {
  CV_COMP_CORREL =0,
  CV_COMP_CHISQR =1,
  CV_COMP_INTERSECT =2,
  CV_COMP_BHATTACHARYYA =3,
  CV_COMP_HELLINGER =CV_COMP_BHATTACHARYYA,
  CV_COMP_CHISQR_ALT =4,
  CV_COMP_KL_DIV =5
}
 
enum  {
  CV_DIST_MASK_3 =3,
  CV_DIST_MASK_5 =5,
  CV_DIST_MASK_PRECISE =0
}
 
enum  {
  CV_DIST_LABEL_CCOMP = 0,
  CV_DIST_LABEL_PIXEL = 1
}
 
enum  {
  CV_DIST_USER =-1,
  CV_DIST_L1 =1,
  CV_DIST_L2 =2,
  CV_DIST_C =3,
  CV_DIST_L12 =4,
  CV_DIST_FAIR =5,
  CV_DIST_WELSCH =6,
  CV_DIST_HUBER =7
}
 
enum  {
  CV_THRESH_BINARY =0,
  CV_THRESH_BINARY_INV =1,
  CV_THRESH_TRUNC =2,
  CV_THRESH_TOZERO =3,
  CV_THRESH_TOZERO_INV =4,
  CV_THRESH_MASK =7,
  CV_THRESH_OTSU =8,
  CV_THRESH_TRIANGLE =16
}
 
enum  {
  CV_ADAPTIVE_THRESH_MEAN_C =0,
  CV_ADAPTIVE_THRESH_GAUSSIAN_C =1
}
 
enum  {
  CV_FLOODFILL_FIXED_RANGE =(1 << 16),
  CV_FLOODFILL_MASK_ONLY =(1 << 17)
}
 
enum  { CV_CANNY_L2_GRADIENT =(1 << 31) }
 
enum  {
  CV_HOUGH_STANDARD =0,
  CV_HOUGH_PROBABILISTIC =1,
  CV_HOUGH_MULTI_SCALE =2,
  CV_HOUGH_GRADIENT =3
}
 
enum  MorphShapes_c {
  CV_SHAPE_RECT =0,
  CV_SHAPE_CROSS =1,
  CV_SHAPE_ELLIPSE =2,
  CV_SHAPE_CUSTOM =100
}
 
enum  SmoothMethod_c {
  CV_BLUR_NO_SCALE =0,
  CV_BLUR =1,
  CV_GAUSSIAN =2,
  CV_MEDIAN =3,
  CV_BILATERAL =4
}
 

Functions

CvMatcv2DRotationMatrix (CvPoint2D32f center, double angle, double scale, CvMat *map_matrix)
 Computes rotation_matrix matrix. More...
 
void cvAcc (const CvArr *image, CvArr *sum, const CvArr *mask=NULL)
 Adds image to accumulator. More...
 
void cvAdaptiveThreshold (const CvArr *src, CvArr *dst, double max_value, int adaptive_method=CV_ADAPTIVE_THRESH_MEAN_C, int threshold_type=CV_THRESH_BINARY, int block_size=3, double param1=5)
 Applies adaptive threshold to grayscale image. More...
 
CvSeqcvApproxChains (CvSeq *src_seq, CvMemStorage *storage, int method=CV_CHAIN_APPROX_SIMPLE, double parameter=0, int minimal_perimeter=0, int recursive=0)
 Approximates Freeman chain(s) with a polygonal curve. More...
 
CvSeqcvApproxPoly (const void *src_seq, int header_size, CvMemStorage *storage, int method, double eps, int recursive=0)
 Approximates a single polygonal curve (contour) or a tree of polygonal curves (contours) More...
 
double cvArcLength (const void *curve, CvSlice slice=CV_WHOLE_SEQ, int is_closed=-1)
 Calculates perimeter of a contour or length of a part of contour. More...
 
CvRect cvBoundingRect (CvArr *points, int update=0)
 Calculates contour bounding rectangle (update=1) or just retrieves pre-calculated rectangle (update=0) More...
 
void cvBoxPoints (CvBox2D box, CvPoint2D32f pt[4])
 Finds coordinates of the box vertices. More...
 
void cvCalcArrBackProject (CvArr **image, CvArr *dst, const CvHistogram *hist)
 Calculates back project. More...
 
void cvCalcArrBackProjectPatch (CvArr **image, CvArr *dst, CvSize range, CvHistogram *hist, int method, double factor)
 Locates a template within an image by using a histogram comparison. More...
 
void cvCalcArrHist (CvArr **arr, CvHistogram *hist, int accumulate=0, const CvArr *mask=NULL)
 Calculates array histogram. More...
 
void cvCalcBayesianProb (CvHistogram **src, int number, CvHistogram **dst)
 Calculates bayesian probabilistic histograms (each or src and dst is an array of number histograms. More...
 
float cvCalcEMD2 (const CvArr *signature1, const CvArr *signature2, int distance_type, CvDistanceFunction distance_func=NULL, const CvArr *cost_matrix=NULL, CvArr *flow=NULL, float *lower_bound=NULL, void *userdata=NULL)
 Computes earth mover distance between two weighted point sets (called signatures) More...
 
void cvCalcHist (IplImage **image, CvHistogram *hist, int accumulate=0, const CvArr *mask=NULL)
 
void cvCalcProbDensity (const CvHistogram *hist1, const CvHistogram *hist2, CvHistogram *dst_hist, double scale=255)
 Divides one histogram by another. More...
 
void cvCanny (const CvArr *image, CvArr *edges, double threshold1, double threshold2, int aperture_size=3)
 Runs canny edge detector. More...
 
int cvCheckContourConvexity (const CvArr *contour)
 Checks whether the contour is convex or not (returns 1 if convex, 0 if not) More...
 
void cvCircle (CvArr *img, CvPoint center, int radius, CvScalar color, int thickness=1, int line_type=8, int shift=0)
 Draws a circle with specified center and radius. More...
 
void cvClearHist (CvHistogram *hist)
 Clears the histogram. More...
 
int cvClipLine (CvSize img_size, CvPoint *pt1, CvPoint *pt2)
 Clips the line segment connecting *pt1 and *pt2 by the rectangular window. More...
 
CvScalar cvColorToScalar (double packed_color, int arrtype)
 Unpacks color value. More...
 
double cvCompareHist (const CvHistogram *hist1, const CvHistogram *hist2, int method)
 
double cvContourArea (const CvArr *contour, CvSlice slice=CV_WHOLE_SEQ, int oriented=0)
 Calculates area of a contour or contour segment. More...
 
double cvContourPerimeter (const void *contour)
 
void cvConvertMaps (const CvArr *mapx, const CvArr *mapy, CvArr *mapxy, CvArr *mapalpha)
 Converts mapx & mapy from floating-point to integer formats for cvRemap. More...
 
CvSeqcvConvexHull2 (const CvArr *input, void *hull_storage=NULL, int orientation=CV_CLOCKWISE, int return_points=0)
 Calculates exact convex hull of 2d point set. More...
 
CvSeqcvConvexityDefects (const CvArr *contour, const CvArr *convexhull, CvMemStorage *storage=NULL)
 Finds convexity defects for the contour. More...
 
void cvCopyHist (const CvHistogram *src, CvHistogram **dst)
 Copies a histogram. More...
 
void cvCopyMakeBorder (const CvArr *src, CvArr *dst, CvPoint offset, int bordertype, CvScalar value=cvScalarAll(0))
 
void cvCornerEigenValsAndVecs (const CvArr *image, CvArr *eigenvv, int block_size, int aperture_size=3)
 Calculates eigen values and vectors of 2x2 gradient covariation matrix at every image pixel. More...
 
void cvCornerHarris (const CvArr *image, CvArr *harris_response, int block_size, int aperture_size=3, double k=0.04)
 Harris corner detector: More...
 
void cvCornerMinEigenVal (const CvArr *image, CvArr *eigenval, int block_size, int aperture_size=3)
 Calculates minimal eigenvalue for 2x2 gradient covariation matrix at every image pixel. More...
 
CvHistogramcvCreateHist (int dims, int *sizes, int type, float **ranges=NULL, int uniform=1)
 Creates a histogram. More...
 
CvMat ** cvCreatePyramid (const CvArr *img, int extra_layers, double rate, const CvSize *layer_sizes=0, CvArr *bufarr=0, int calc=1, int filter=CV_GAUSSIAN_5x5)
 Builds pyramid for an image. More...
 
IplConvKernelcvCreateStructuringElementEx (int cols, int rows, int anchor_x, int anchor_y, int shape, int *values=NULL)
 Returns a structuring element of the specified size and shape for morphological operations. More...
 
void cvCvtColor (const CvArr *src, CvArr *dst, int code)
 Converts input array pixels from one color space to another. More...
 
void cvDilate (const CvArr *src, CvArr *dst, IplConvKernel *element=NULL, int iterations=1)
 dilates input image (applies maximum filter) one or more times. More...
 
void cvDistTransform (const CvArr *src, CvArr *dst, int distance_type=CV_DIST_L2, int mask_size=3, const float *mask=NULL, CvArr *labels=NULL, int labelType=CV_DIST_LABEL_CCOMP)
 Applies distance transform to binary image. More...
 
void cvDrawContours (CvArr *img, CvSeq *contour, CvScalar external_color, CvScalar hole_color, int max_level, int thickness=1, int line_type=8, CvPoint offset=cvPoint(0, 0))
 Draws contour outlines or filled interiors on the image. More...
 
void cvEllipse (CvArr *img, CvPoint center, CvSize axes, double angle, double start_angle, double end_angle, CvScalar color, int thickness=1, int line_type=8, int shift=0)
 Draws ellipse outline, filled ellipse, elliptic arc or filled elliptic sector. More...
 
int cvEllipse2Poly (CvPoint center, CvSize axes, int angle, int arc_start, int arc_end, CvPoint *pts, int delta)
 Returns the polygon points which make up the given ellipse. More...
 
void cvEllipseBox (CvArr *img, CvBox2D box, CvScalar color, int thickness=1, int line_type=8, int shift=0)
 
CvSeqcvEndFindContours (CvContourScanner *scanner)
 Releases contour scanner and returns pointer to the first outer contour. More...
 
void cvEqualizeHist (const CvArr *src, CvArr *dst)
 equalizes histogram of 8-bit single-channel image More...
 
void cvErode (const CvArr *src, CvArr *dst, IplConvKernel *element=NULL, int iterations=1)
 erodes input image (applies minimum filter) one or more times. If element pointer is NULL, 3x3 rectangular element is used More...
 
void cvFillConvexPoly (CvArr *img, const CvPoint *pts, int npts, CvScalar color, int line_type=8, int shift=0)
 Fills convex or monotonous polygon. More...
 
void cvFillPoly (CvArr *img, CvPoint **pts, const int *npts, int contours, CvScalar color, int line_type=8, int shift=0)
 Fills an area bounded by one or more arbitrary polygons. More...
 
void cvFilter2D (const CvArr *src, CvArr *dst, const CvMat *kernel, CvPoint anchor=cvPoint(-1,-1))
 Convolves an image with the kernel. More...
 
int cvFindContours (CvArr *image, CvMemStorage *storage, CvSeq **first_contour, int header_size=sizeof(CvContour), int mode=CV_RETR_LIST, int method=CV_CHAIN_APPROX_SIMPLE, CvPoint offset=cvPoint(0, 0))
 Retrieves outer and optionally inner boundaries of white (non-zero) connected components in the black (zero) background. More...
 
void cvFindCornerSubPix (const CvArr *image, CvPoint2D32f *corners, int count, CvSize win, CvSize zero_zone, CvTermCriteria criteria)
 Adjust corner position using some sort of gradient search. More...
 
CvSeqcvFindNextContour (CvContourScanner scanner)
 Retrieves next contour. More...
 
CvBox2D cvFitEllipse2 (const CvArr *points)
 Fits ellipse into a set of 2d points. More...
 
void cvFitLine (const CvArr *points, int dist_type, double param, double reps, double aeps, float *line)
 Fits a line into set of 2d or 3d points in a robust way (M-estimator technique) More...
 
void cvFloodFill (CvArr *image, CvPoint seed_point, CvScalar new_val, CvScalar lo_diff=cvScalarAll(0), CvScalar up_diff=cvScalarAll(0), CvConnectedComp *comp=NULL, int flags=4, CvArr *mask=NULL)
 Fills the connected component until the color difference gets large enough. More...
 
CvFont cvFont (double scale, int thickness=1)
 
CvMatcvGetAffineTransform (const CvPoint2D32f *src, const CvPoint2D32f *dst, CvMat *map_matrix)
 Computes affine transform matrix for mapping src[i] to dst[i] (i=0,1,2) More...
 
double cvGetCentralMoment (CvMoments *moments, int x_order, int y_order)
 Retrieve central moments. More...
 
void cvGetHuMoments (CvMoments *moments, CvHuMoments *hu_moments)
 Calculates 7 Hu's invariants from precalculated spatial and central moments. More...
 
void cvGetMinMaxHistValue (const CvHistogram *hist, float *min_value, float *max_value, int *min_idx=NULL, int *max_idx=NULL)
 Finds the minimum and maximum histogram bins. More...
 
double cvGetNormalizedCentralMoment (CvMoments *moments, int x_order, int y_order)
 Retrieve normalized central moments. More...
 
CvMatcvGetPerspectiveTransform (const CvPoint2D32f *src, const CvPoint2D32f *dst, CvMat *map_matrix)
 Computes perspective transform matrix for mapping src[i] to dst[i] (i=0,1,2,3) More...
 
void cvGetQuadrangleSubPix (const CvArr *src, CvArr *dst, const CvMat *map_matrix)
 Retrieves quadrangle from the input array. More...
 
void cvGetRectSubPix (const CvArr *src, CvArr *dst, CvPoint2D32f center)
 Retrieves the rectangular image region with specified center from the input array. More...
 
double cvGetSpatialMoment (CvMoments *moments, int x_order, int y_order)
 Retrieve spatial moments. More...
 
void cvGetTextSize (const char *text_string, const CvFont *font, CvSize *text_size, int *baseline)
 Calculates bounding box of text stroke (useful for alignment) More...
 
void cvGoodFeaturesToTrack (const CvArr *image, CvArr *eig_image, CvArr *temp_image, CvPoint2D32f *corners, int *corner_count, double quality_level, double min_distance, const CvArr *mask=NULL, int block_size=3, int use_harris=0, double k=0.04)
 Finds a sparse set of points within the selected region that seem to be easy to track. More...
 
CvSeqcvHoughCircles (CvArr *image, void *circle_storage, int method, double dp, double min_dist, double param1=100, double param2=100, int min_radius=0, int max_radius=0)
 Finds circles in the image. More...
 
CvSeqcvHoughLines2 (CvArr *image, void *line_storage, int method, double rho, double theta, int threshold, double param1=0, double param2=0, double min_theta=0, double max_theta=CV_PI)
 Finds lines on binary image using one of several methods. More...
 
void cvInitFont (CvFont *font, int font_face, double hscale, double vscale, double shear=0, int thickness=1, int line_type=8)
 Initializes font structure (OpenCV 1.x API). More...
 
int cvInitLineIterator (const CvArr *image, CvPoint pt1, CvPoint pt2, CvLineIterator *line_iterator, int connectivity=8, int left_to_right=0)
 Initializes line iterator. More...
 
void cvInitUndistortMap (const CvMat *camera_matrix, const CvMat *distortion_coeffs, CvArr *mapx, CvArr *mapy)
 Computes transformation map from intrinsic camera parameters that can used by cvRemap. More...
 
void cvInitUndistortRectifyMap (const CvMat *camera_matrix, const CvMat *dist_coeffs, const CvMat *R, const CvMat *new_camera_matrix, CvArr *mapx, CvArr *mapy)
 Computes undistortion+rectification map for a head of stereo camera. More...
 
void cvIntegral (const CvArr *image, CvArr *sum, CvArr *sqsum=NULL, CvArr *tilted_sum=NULL)
 Finds integral image: SUM(X,Y) = sum(x<X,y<Y)I(x,y) More...
 
void cvLaplace (const CvArr *src, CvArr *dst, int aperture_size=3)
 Calculates the image Laplacian: (d2/dx + d2/dy)I. More...
 
void cvLine (CvArr *img, CvPoint pt1, CvPoint pt2, CvScalar color, int thickness=1, int line_type=8, int shift=0)
 Draws 4-connected, 8-connected or antialiased line segment connecting two points. More...
 
void cvLinearPolar (const CvArr *src, CvArr *dst, CvPoint2D32f center, double maxRadius, int flags=CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS)
 
void cvLogPolar (const CvArr *src, CvArr *dst, CvPoint2D32f center, double M, int flags=CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS)
 Performs forward or inverse log-polar image transform. More...
 
CvHistogramcvMakeHistHeaderForArray (int dims, int *sizes, CvHistogram *hist, float *data, float **ranges=NULL, int uniform=1)
 Makes a histogram out of an array. More...
 
double cvMatchShapes (const void *object1, const void *object2, int method, double parameter=0)
 Compares two contours by matching their moments. More...
 
void cvMatchTemplate (const CvArr *image, const CvArr *templ, CvArr *result, int method)
 Measures similarity between template and overlapped windows in the source image and fills the resultant image with the measurements. More...
 
CvRect cvMaxRect (const CvRect *rect1, const CvRect *rect2)
 Finds minimum rectangle containing two given rectangles. More...
 
CvBox2D cvMinAreaRect2 (const CvArr *points, CvMemStorage *storage=NULL)
 Finds minimum area rotated rectangle bounding a set of points. More...
 
int cvMinEnclosingCircle (const CvArr *points, CvPoint2D32f *center, float *radius)
 Finds minimum enclosing circle for a set of points. More...
 
void cvMoments (const CvArr *arr, CvMoments *moments, int binary=0)
 Calculates all spatial and central moments up to the 3rd order. More...
 
void cvMorphologyEx (const CvArr *src, CvArr *dst, CvArr *temp, IplConvKernel *element, int operation, int iterations=1)
 Performs complex morphological transformation. More...
 
void cvMultiplyAcc (const CvArr *image1, const CvArr *image2, CvArr *acc, const CvArr *mask=NULL)
 Adds a product of two images to accumulator. More...
 
void cvNormalizeHist (CvHistogram *hist, double factor)
 Normalizes the histogram. More...
 
double cvPointPolygonTest (const CvArr *contour, CvPoint2D32f pt, int measure_dist)
 Checks whether the point is inside polygon, outside, on an edge (at a vertex). More...
 
CvSeqcvPointSeqFromMat (int seq_kind, const CvArr *mat, CvContour *contour_header, CvSeqBlock *block)
 Initializes sequence header for a matrix (column or row vector) of points. More...
 
void cvPolyLine (CvArr *img, CvPoint **pts, const int *npts, int contours, int is_closed, CvScalar color, int thickness=1, int line_type=8, int shift=0)
 Draws one or more polygonal curves. More...
 
void cvPreCornerDetect (const CvArr *image, CvArr *corners, int aperture_size=3)
 Calculates constraint image for corner detection. More...
 
void cvPutText (CvArr *img, const char *text, CvPoint org, const CvFont *font, CvScalar color)
 Renders text stroke with specified font and color at specified location. CvFont should be initialized with cvInitFont. More...
 
void cvPyrDown (const CvArr *src, CvArr *dst, int filter=CV_GAUSSIAN_5x5)
 Smoothes the input image with gaussian kernel and then down-samples it. More...
 
void cvPyrMeanShiftFiltering (const CvArr *src, CvArr *dst, double sp, double sr, int max_level=1, CvTermCriteria termcrit=cvTermCriteria(CV_TERMCRIT_ITER+CV_TERMCRIT_EPS, 5, 1))
 Filters image using meanshift algorithm. More...
 
void cvPyrUp (const CvArr *src, CvArr *dst, int filter=CV_GAUSSIAN_5x5)
 Up-samples image and smoothes the result with gaussian kernel. More...
 
CvPoint cvReadChainPoint (CvChainPtReader *reader)
 Retrieves the next chain point. More...
 
void cvRectangle (CvArr *img, CvPoint pt1, CvPoint pt2, CvScalar color, int thickness=1, int line_type=8, int shift=0)
 Draws a rectangle given two opposite corners of the rectangle (pt1 & pt2) More...
 
void cvRectangleR (CvArr *img, CvRect r, CvScalar color, int thickness=1, int line_type=8, int shift=0)
 Draws a rectangle specified by a CvRect structure. More...
 
void cvReleaseHist (CvHistogram **hist)
 Releases the histogram. More...
 
void cvReleasePyramid (CvMat ***pyramid, int extra_layers)
 Releases pyramid. More...
 
void cvReleaseStructuringElement (IplConvKernel **element)
 releases structuring element More...
 
void cvRemap (const CvArr *src, CvArr *dst, const CvArr *mapx, const CvArr *mapy, int flags=CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS, CvScalar fillval=cvScalarAll(0))
 Performs generic geometric transformation using the specified coordinate maps. More...
 
void cvResize (const CvArr *src, CvArr *dst, int interpolation=CV_INTER_LINEAR)
 Resizes image (input array is resized to fit the destination array) More...
 
void cvRunningAvg (const CvArr *image, CvArr *acc, double alpha, const CvArr *mask=NULL)
 Adds image to accumulator with weights: acc = acc*(1-alpha) + image*alpha. More...
 
int cvSampleLine (const CvArr *image, CvPoint pt1, CvPoint pt2, void *buffer, int connectivity=8)
 Fetches pixels that belong to the specified line segment and stores them to the buffer. More...
 
void cvSetHistBinRanges (CvHistogram *hist, float **ranges, int uniform=1)
 Sets the bounds of the histogram bins. More...
 
void cvSmooth (const CvArr *src, CvArr *dst, int smoothtype=CV_GAUSSIAN, int size1=3, int size2=0, double sigma1=0, double sigma2=0)
 Smooths the image in one of several ways. More...
 
void cvSobel (const CvArr *src, CvArr *dst, int xorder, int yorder, int aperture_size=3)
 Calculates an image derivative using generalized Sobel. More...
 
void cvSquareAcc (const CvArr *image, CvArr *sqsum, const CvArr *mask=NULL)
 Adds squared image to accumulator. More...
 
CvContourScanner cvStartFindContours (CvArr *image, CvMemStorage *storage, int header_size=sizeof(CvContour), int mode=CV_RETR_LIST, int method=CV_CHAIN_APPROX_SIMPLE, CvPoint offset=cvPoint(0, 0))
 Initializes contour retrieving process. More...
 
void cvStartReadChainPoints (CvChain *chain, CvChainPtReader *reader)
 Initializes Freeman chain reader. More...
 
void cvSubstituteContour (CvContourScanner scanner, CvSeq *new_contour)
 Substitutes the last retrieved contour with the new one. More...
 
void cvThreshHist (CvHistogram *hist, double threshold)
 Thresholds the histogram. More...
 
double cvThreshold (const CvArr *src, CvArr *dst, double threshold, double max_value, int threshold_type)
 Applies fixed-level threshold to grayscale image. More...
 
void cvUndistort2 (const CvArr *src, CvArr *dst, const CvMat *camera_matrix, const CvMat *distortion_coeffs, const CvMat *new_camera_matrix=0)
 Transforms the input image to compensate lens distortion. More...
 
void cvUndistortPoints (const CvMat *src, CvMat *dst, const CvMat *camera_matrix, const CvMat *dist_coeffs, const CvMat *R=0, const CvMat *P=0)
 Computes the original (undistorted) feature coordinates from the observed (distorted) coordinates. More...
 
void cvWarpAffine (const CvArr *src, CvArr *dst, const CvMat *map_matrix, int flags=CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS, CvScalar fillval=cvScalarAll(0))
 Warps image with affine transform. More...
 
void cvWarpPerspective (const CvArr *src, CvArr *dst, const CvMat *map_matrix, int flags=CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS, CvScalar fillval=cvScalarAll(0))
 Warps image with perspective (projective) transform. More...
 
void cvWatershed (const CvArr *image, CvArr *markers)
 Segments image using seed "markers". More...
 

Detailed Description

Macro Definition Documentation

§ CV_AA

#define CV_AA   16

§ CV_FILLED

#define CV_FILLED   -1

§ CV_FONT_HERSHEY_COMPLEX

#define CV_FONT_HERSHEY_COMPLEX   3

§ CV_FONT_HERSHEY_COMPLEX_SMALL

#define CV_FONT_HERSHEY_COMPLEX_SMALL   5

§ CV_FONT_HERSHEY_DUPLEX

#define CV_FONT_HERSHEY_DUPLEX   2

§ CV_FONT_HERSHEY_PLAIN

#define CV_FONT_HERSHEY_PLAIN   1

§ CV_FONT_HERSHEY_SCRIPT_COMPLEX

#define CV_FONT_HERSHEY_SCRIPT_COMPLEX   7

§ CV_FONT_HERSHEY_SCRIPT_SIMPLEX

#define CV_FONT_HERSHEY_SCRIPT_SIMPLEX   6

§ CV_FONT_HERSHEY_SIMPLEX

#define CV_FONT_HERSHEY_SIMPLEX   0

§ CV_FONT_HERSHEY_TRIPLEX

#define CV_FONT_HERSHEY_TRIPLEX   4

§ CV_FONT_ITALIC

#define CV_FONT_ITALIC   16

§ CV_FONT_VECTOR0

#define CV_FONT_VECTOR0   CV_FONT_HERSHEY_SIMPLEX

§ CV_INIT_3X3_DELTAS

#define CV_INIT_3X3_DELTAS (   deltas,
  step,
  nch 
)
Value:
((deltas)[0] = (nch), (deltas)[1] = -(step) + (nch), \
(deltas)[2] = -(step), (deltas)[3] = -(step) - (nch), \
(deltas)[4] = -(nch), (deltas)[5] = (step) - (nch), \
(deltas)[6] = (step), (deltas)[7] = (step) + (nch))

initializes 8-element array for fast access to 3x3 neighborhood of a pixel

§ CV_NEXT_LINE_POINT

#define CV_NEXT_LINE_POINT (   line_iterator)
Value:
{ \
int _line_iterator_mask = (line_iterator).err < 0 ? -1 : 0; \
(line_iterator).err += (line_iterator).minus_delta + \
((line_iterator).plus_delta & _line_iterator_mask); \
(line_iterator).ptr += (line_iterator).minus_step + \
((line_iterator).plus_step & _line_iterator_mask); \
}

§ CV_RGB

#define CV_RGB (   r,
  g,
 
)    cvScalar( (b), (g), (r), 0 )

§ cvCalcBackProject

#define cvCalcBackProject (   image,
  dst,
  hist 
)    cvCalcArrBackProject((CvArr**)image, dst, hist)

§ cvCalcBackProjectPatch

#define cvCalcBackProjectPatch (   image,
  dst,
  range,
  hist,
  method,
  factor 
)    cvCalcArrBackProjectPatch( (CvArr**)image, dst, range, hist, method, factor )

§ cvDrawCircle

#define cvDrawCircle   cvCircle

§ cvDrawEllipse

#define cvDrawEllipse   cvEllipse

§ cvDrawLine

#define cvDrawLine   cvLine

§ cvDrawPolyLine

#define cvDrawPolyLine   cvPolyLine

§ cvDrawRect

#define cvDrawRect   cvRectangle

Typedef Documentation

§ CvContourScanner

typedef struct _CvContourScanner* CvContourScanner

§ CvDistanceFunction

typedef float( * CvDistanceFunction) (const float *a, const float *b, void *user_param)

Enumeration Type Documentation

§ anonymous enum

anonymous enum

Filters used in pyramid decomposition

Enumerator
CV_GAUSSIAN_5x5 

§ anonymous enum

anonymous enum

Special filters

Enumerator
CV_SCHARR 
CV_MAX_SOBEL_KSIZE 

§ anonymous enum

anonymous enum

Constants for color conversion

Enumerator
CV_BGR2BGRA 
CV_RGB2RGBA 
CV_BGRA2BGR 
CV_RGBA2RGB 
CV_BGR2RGBA 
CV_RGB2BGRA 
CV_RGBA2BGR 
CV_BGRA2RGB 
CV_BGR2RGB 
CV_RGB2BGR 
CV_BGRA2RGBA 
CV_RGBA2BGRA 
CV_BGR2GRAY 
CV_RGB2GRAY 
CV_GRAY2BGR 
CV_GRAY2RGB 
CV_GRAY2BGRA 
CV_GRAY2RGBA 
CV_BGRA2GRAY 
CV_RGBA2GRAY 
CV_BGR2BGR565 
CV_RGB2BGR565 
CV_BGR5652BGR 
CV_BGR5652RGB 
CV_BGRA2BGR565 
CV_RGBA2BGR565 
CV_BGR5652BGRA 
CV_BGR5652RGBA 
CV_GRAY2BGR565 
CV_BGR5652GRAY 
CV_BGR2BGR555 
CV_RGB2BGR555 
CV_BGR5552BGR 
CV_BGR5552RGB 
CV_BGRA2BGR555 
CV_RGBA2BGR555 
CV_BGR5552BGRA 
CV_BGR5552RGBA 
CV_GRAY2BGR555 
CV_BGR5552GRAY 
CV_BGR2XYZ 
CV_RGB2XYZ 
CV_XYZ2BGR 
CV_XYZ2RGB 
CV_BGR2YCrCb 
CV_RGB2YCrCb 
CV_YCrCb2BGR 
CV_YCrCb2RGB 
CV_BGR2HSV 
CV_RGB2HSV 
CV_BGR2Lab 
CV_RGB2Lab 
CV_BayerBG2BGR 
CV_BayerGB2BGR 
CV_BayerRG2BGR 
CV_BayerGR2BGR 
CV_BayerBG2RGB 
CV_BayerGB2RGB 
CV_BayerRG2RGB 
CV_BayerGR2RGB 
CV_BGR2Luv 
CV_RGB2Luv 
CV_BGR2HLS 
CV_RGB2HLS 
CV_HSV2BGR 
CV_HSV2RGB 
CV_Lab2BGR 
CV_Lab2RGB 
CV_Luv2BGR 
CV_Luv2RGB 
CV_HLS2BGR 
CV_HLS2RGB 
CV_BayerBG2BGR_VNG 
CV_BayerGB2BGR_VNG 
CV_BayerRG2BGR_VNG 
CV_BayerGR2BGR_VNG 
CV_BayerBG2RGB_VNG 
CV_BayerGB2RGB_VNG 
CV_BayerRG2RGB_VNG 
CV_BayerGR2RGB_VNG 
CV_BGR2HSV_FULL 
CV_RGB2HSV_FULL 
CV_BGR2HLS_FULL 
CV_RGB2HLS_FULL 
CV_HSV2BGR_FULL 
CV_HSV2RGB_FULL 
CV_HLS2BGR_FULL 
CV_HLS2RGB_FULL 
CV_LBGR2Lab 
CV_LRGB2Lab 
CV_LBGR2Luv 
CV_LRGB2Luv 
CV_Lab2LBGR 
CV_Lab2LRGB 
CV_Luv2LBGR 
CV_Luv2LRGB 
CV_BGR2YUV 
CV_RGB2YUV 
CV_YUV2BGR 
CV_YUV2RGB 
CV_BayerBG2GRAY 
CV_BayerGB2GRAY 
CV_BayerRG2GRAY 
CV_BayerGR2GRAY 
CV_YUV2RGB_NV12 
CV_YUV2BGR_NV12 
CV_YUV2RGB_NV21 
CV_YUV2BGR_NV21 
CV_YUV420sp2RGB 
CV_YUV420sp2BGR 
CV_YUV2RGBA_NV12 
CV_YUV2BGRA_NV12 
CV_YUV2RGBA_NV21 
CV_YUV2BGRA_NV21 
CV_YUV420sp2RGBA 
CV_YUV420sp2BGRA 
CV_YUV2RGB_YV12 
CV_YUV2BGR_YV12 
CV_YUV2RGB_IYUV 
CV_YUV2BGR_IYUV 
CV_YUV2RGB_I420 
CV_YUV2BGR_I420 
CV_YUV420p2RGB 
CV_YUV420p2BGR 
CV_YUV2RGBA_YV12 
CV_YUV2BGRA_YV12 
CV_YUV2RGBA_IYUV 
CV_YUV2BGRA_IYUV 
CV_YUV2RGBA_I420 
CV_YUV2BGRA_I420 
CV_YUV420p2RGBA 
CV_YUV420p2BGRA 
CV_YUV2GRAY_420 
CV_YUV2GRAY_NV21 
CV_YUV2GRAY_NV12 
CV_YUV2GRAY_YV12 
CV_YUV2GRAY_IYUV 
CV_YUV2GRAY_I420 
CV_YUV420sp2GRAY 
CV_YUV420p2GRAY 
CV_YUV2RGB_UYVY 
CV_YUV2BGR_UYVY 
CV_YUV2RGB_Y422 
CV_YUV2BGR_Y422 
CV_YUV2RGB_UYNV 
CV_YUV2BGR_UYNV 
CV_YUV2RGBA_UYVY 
CV_YUV2BGRA_UYVY 
CV_YUV2RGBA_Y422 
CV_YUV2BGRA_Y422 
CV_YUV2RGBA_UYNV 
CV_YUV2BGRA_UYNV 
CV_YUV2RGB_YUY2 
CV_YUV2BGR_YUY2 
CV_YUV2RGB_YVYU 
CV_YUV2BGR_YVYU 
CV_YUV2RGB_YUYV 
CV_YUV2BGR_YUYV 
CV_YUV2RGB_YUNV 
CV_YUV2BGR_YUNV 
CV_YUV2RGBA_YUY2 
CV_YUV2BGRA_YUY2 
CV_YUV2RGBA_YVYU 
CV_YUV2BGRA_YVYU 
CV_YUV2RGBA_YUYV 
CV_YUV2BGRA_YUYV 
CV_YUV2RGBA_YUNV 
CV_YUV2BGRA_YUNV 
CV_YUV2GRAY_UYVY 
CV_YUV2GRAY_YUY2 
CV_YUV2GRAY_Y422 
CV_YUV2GRAY_UYNV 
CV_YUV2GRAY_YVYU 
CV_YUV2GRAY_YUYV 
CV_YUV2GRAY_YUNV 
CV_RGBA2mRGBA 
CV_mRGBA2RGBA 
CV_RGB2YUV_I420 
CV_BGR2YUV_I420 
CV_RGB2YUV_IYUV 
CV_BGR2YUV_IYUV 
CV_RGBA2YUV_I420 
CV_BGRA2YUV_I420 
CV_RGBA2YUV_IYUV 
CV_BGRA2YUV_IYUV 
CV_RGB2YUV_YV12 
CV_BGR2YUV_YV12 
CV_RGBA2YUV_YV12 
CV_BGRA2YUV_YV12 
CV_BayerBG2BGR_EA 
CV_BayerGB2BGR_EA 
CV_BayerRG2BGR_EA 
CV_BayerGR2BGR_EA 
CV_BayerBG2RGB_EA 
CV_BayerGB2RGB_EA 
CV_BayerRG2RGB_EA 
CV_BayerGR2RGB_EA 
CV_BayerBG2BGRA 
CV_BayerGB2BGRA 
CV_BayerRG2BGRA 
CV_BayerGR2BGRA 
CV_BayerBG2RGBA 
CV_BayerGB2RGBA 
CV_BayerRG2RGBA 
CV_BayerGR2RGBA 
CV_COLORCVT_MAX 

§ anonymous enum

anonymous enum

Sub-pixel interpolation methods

Enumerator
CV_INTER_NN 
CV_INTER_LINEAR 
CV_INTER_CUBIC 
CV_INTER_AREA 
CV_INTER_LANCZOS4 

§ anonymous enum

anonymous enum

... and other image warping flags

Enumerator
CV_WARP_FILL_OUTLIERS 
CV_WARP_INVERSE_MAP 

§ anonymous enum

anonymous enum

Morphological operations

Enumerator
CV_MOP_ERODE 
CV_MOP_DILATE 
CV_MOP_OPEN 
CV_MOP_CLOSE 
CV_MOP_GRADIENT 
CV_MOP_TOPHAT 
CV_MOP_BLACKHAT 

§ anonymous enum

anonymous enum

Template matching methods

Enumerator
CV_TM_SQDIFF 
CV_TM_SQDIFF_NORMED 
CV_TM_CCORR 
CV_TM_CCORR_NORMED 
CV_TM_CCOEFF 
CV_TM_CCOEFF_NORMED 

§ anonymous enum

anonymous enum

Contour retrieval modes

Enumerator
CV_RETR_EXTERNAL 
CV_RETR_LIST 
CV_RETR_CCOMP 
CV_RETR_TREE 
CV_RETR_FLOODFILL 

§ anonymous enum

anonymous enum

Contour approximation methods

Enumerator
CV_CHAIN_CODE 
CV_CHAIN_APPROX_NONE 
CV_CHAIN_APPROX_SIMPLE 
CV_CHAIN_APPROX_TC89_L1 
CV_CHAIN_APPROX_TC89_KCOS 
CV_LINK_RUNS 

§ anonymous enum

anonymous enum

Contour approximation algorithms

Enumerator
CV_POLY_APPROX_DP 

§ anonymous enum

anonymous enum

Shape matching methods

Enumerator
CV_CONTOURS_MATCH_I1 

\[I_1(A,B) = \sum _{i=1...7} \left | \frac{1}{m^A_i} - \frac{1}{m^B_i} \right |\]

CV_CONTOURS_MATCH_I2 

\[I_2(A,B) = \sum _{i=1...7} \left | m^A_i - m^B_i \right |\]

CV_CONTOURS_MATCH_I3 

\[I_3(A,B) = \max _{i=1...7} \frac{ \left| m^A_i - m^B_i \right| }{ \left| m^A_i \right| }\]

§ anonymous enum

anonymous enum

Shape orientation

Enumerator
CV_CLOCKWISE 
CV_COUNTER_CLOCKWISE 

§ anonymous enum

anonymous enum

Histogram comparison methods

Enumerator
CV_COMP_CORREL 
CV_COMP_CHISQR 
CV_COMP_INTERSECT 
CV_COMP_BHATTACHARYYA 
CV_COMP_HELLINGER 
CV_COMP_CHISQR_ALT 
CV_COMP_KL_DIV 

§ anonymous enum

anonymous enum

Mask size for distance transform

Enumerator
CV_DIST_MASK_3 
CV_DIST_MASK_5 
CV_DIST_MASK_PRECISE 

§ anonymous enum

anonymous enum

Content of output label array: connected components or pixels

Enumerator
CV_DIST_LABEL_CCOMP 
CV_DIST_LABEL_PIXEL 

§ anonymous enum

anonymous enum

Distance types for Distance Transform and M-estimators

Enumerator
CV_DIST_USER 

User defined distance

CV_DIST_L1 

distance = |x1-x2| + |y1-y2|

CV_DIST_L2 

the simple euclidean distance

CV_DIST_C 

distance = max(|x1-x2|,|y1-y2|)

CV_DIST_L12 

L1-L2 metric: distance = 2(sqrt(1+x*x/2) - 1))

CV_DIST_FAIR 

distance = c^2(|x|/c-log(1+|x|/c)), c = 1.3998

CV_DIST_WELSCH 

distance = c^2/2(1-exp(-(x/c)^2)), c = 2.9846

CV_DIST_HUBER 

distance = |x|<c ? x^2/2 : c(|x|-c/2), c=1.345

§ anonymous enum

anonymous enum

Threshold types

Enumerator
CV_THRESH_BINARY 

value = value > threshold ? max_value : 0

CV_THRESH_BINARY_INV 

value = value > threshold ? 0 : max_value

CV_THRESH_TRUNC 

value = value > threshold ? threshold : value

CV_THRESH_TOZERO 

value = value > threshold ? value : 0

CV_THRESH_TOZERO_INV 

value = value > threshold ? 0 : value

CV_THRESH_MASK 
CV_THRESH_OTSU 

use Otsu algorithm to choose the optimal threshold value; combine the flag with one of the above CV_THRESH_* values

CV_THRESH_TRIANGLE 

use Triangle algorithm to choose the optimal threshold value; combine the flag with one of the above CV_THRESH_* values, but not with CV_THRESH_OTSU

§ anonymous enum

anonymous enum

Adaptive threshold methods

Enumerator
CV_ADAPTIVE_THRESH_MEAN_C 
CV_ADAPTIVE_THRESH_GAUSSIAN_C 

§ anonymous enum

anonymous enum

FloodFill flags

Enumerator
CV_FLOODFILL_FIXED_RANGE 
CV_FLOODFILL_MASK_ONLY 

§ anonymous enum

anonymous enum

Canny edge detector flags

Enumerator
CV_CANNY_L2_GRADIENT 

§ anonymous enum

anonymous enum

Variants of a Hough transform

Enumerator
CV_HOUGH_STANDARD 
CV_HOUGH_PROBABILISTIC 
CV_HOUGH_MULTI_SCALE 
CV_HOUGH_GRADIENT 

§ MorphShapes_c

Shapes of a structuring element for morphological operations

See also
cv::MorphShapes, cv::getStructuringElement
Enumerator
CV_SHAPE_RECT 
CV_SHAPE_CROSS 
CV_SHAPE_ELLIPSE 
CV_SHAPE_CUSTOM 

custom structuring element

§ SmoothMethod_c

Image smooth methods

Enumerator
CV_BLUR_NO_SCALE 

linear convolution with \(\texttt{size1}\times\texttt{size2}\) box kernel (all 1's). If you want to smooth different pixels with different-size box kernels, you can use the integral image that is computed using integral

CV_BLUR 

linear convolution with \(\texttt{size1}\times\texttt{size2}\) box kernel (all 1's) with subsequent scaling by \(1/(\texttt{size1}\cdot\texttt{size2})\)

CV_GAUSSIAN 

linear convolution with a \(\texttt{size1}\times\texttt{size2}\) Gaussian kernel

CV_MEDIAN 

median filter with a \(\texttt{size1}\times\texttt{size1}\) square aperture

CV_BILATERAL 

bilateral filter with a \(\texttt{size1}\times\texttt{size1}\) square aperture, color sigma= sigma1 and spatial sigma= sigma2. If size1=0, the aperture square side is set to cvRound(sigma2*1.5)*2+1. See cv::bilateralFilter

Function Documentation

§ cv2DRotationMatrix()

CvMat* cv2DRotationMatrix ( CvPoint2D32f  center,
double  angle,
double  scale,
CvMat map_matrix 
)

Computes rotation_matrix matrix.

See also
cv::getRotationMatrix2D

§ cvAcc()

void cvAcc ( const CvArr image,
CvArr sum,
const CvArr mask = NULL 
)

Adds image to accumulator.

See also
cv::accumulate

§ cvAdaptiveThreshold()

void cvAdaptiveThreshold ( const CvArr src,
CvArr dst,
double  max_value,
int  adaptive_method = CV_ADAPTIVE_THRESH_MEAN_C,
int  threshold_type = CV_THRESH_BINARY,
int  block_size = 3,
double  param1 = 5 
)

Applies adaptive threshold to grayscale image.

The two parameters for methods CV_ADAPTIVE_THRESH_MEAN_C and CV_ADAPTIVE_THRESH_GAUSSIAN_C are: neighborhood size (3, 5, 7 etc.), and a constant subtracted from mean (...,-3,-2,-1,0,1,2,3,...)

See also
cv::adaptiveThreshold

§ cvApproxChains()

CvSeq* cvApproxChains ( CvSeq src_seq,
CvMemStorage storage,
int  method = CV_CHAIN_APPROX_SIMPLE,
double  parameter = 0,
int  minimal_perimeter = 0,
int  recursive = 0 
)

Approximates Freeman chain(s) with a polygonal curve.

This is a standalone contour approximation routine, not represented in the new interface. When cvFindContours retrieves contours as Freeman chains, it calls the function to get approximated contours, represented as polygons.

Parameters
src_seqPointer to the approximated Freeman chain that can refer to other chains.
storageStorage location for the resulting polylines.
methodApproximation method (see the description of the function :ocvFindContours ).
parameterMethod parameter (not used now).
minimal_perimeterApproximates only those contours whose perimeters are not less than minimal_perimeter . Other chains are removed from the resulting structure.
recursiveRecursion flag. If it is non-zero, the function approximates all chains that can be obtained from chain by using the h_next or v_next links. Otherwise, the single input chain is approximated.
See also
cvStartReadChainPoints, cvReadChainPoint

§ cvApproxPoly()

CvSeq* cvApproxPoly ( const void *  src_seq,
int  header_size,
CvMemStorage storage,
int  method,
double  eps,
int  recursive = 0 
)

Approximates a single polygonal curve (contour) or a tree of polygonal curves (contours)

See also
cv::approxPolyDP

§ cvArcLength()

double cvArcLength ( const void *  curve,
CvSlice  slice = CV_WHOLE_SEQ,
int  is_closed = -1 
)

Calculates perimeter of a contour or length of a part of contour.

See also
cv::arcLength

§ cvBoundingRect()

CvRect cvBoundingRect ( CvArr points,
int  update = 0 
)

Calculates contour bounding rectangle (update=1) or just retrieves pre-calculated rectangle (update=0)

See also
cv::boundingRect

§ cvBoxPoints()

void cvBoxPoints ( CvBox2D  box,
CvPoint2D32f  pt[4] 
)

Finds coordinates of the box vertices.

§ cvCalcArrBackProject()

void cvCalcArrBackProject ( CvArr **  image,
CvArr dst,
const CvHistogram hist 
)

Calculates back project.

See also
cvCalcBackProject, cv::calcBackProject

§ cvCalcArrBackProjectPatch()

void cvCalcArrBackProjectPatch ( CvArr **  image,
CvArr dst,
CvSize  range,
CvHistogram hist,
int  method,
double  factor 
)

Locates a template within an image by using a histogram comparison.

The function calculates the back projection by comparing histograms of the source image patches with the given histogram. The function is similar to matchTemplate, but instead of comparing the raster patch with all its possible positions within the search window, the function CalcBackProjectPatch compares histograms. See the algorithm diagram below:

backprojectpatch.png
image
Parameters
imageSource images (though, you may pass CvMat** as well).
dstDestination image.
range
histHistogram.
methodComparison method passed to cvCompareHist (see the function description).
factorNormalization factor for histograms that affects the normalization scale of the destination image. Pass 1 if not sure.
See also
cvCalcBackProjectPatch

§ cvCalcArrHist()

void cvCalcArrHist ( CvArr **  arr,
CvHistogram hist,
int  accumulate = 0,
const CvArr mask = NULL 
)

Calculates array histogram.

See also
cv::calcHist

§ cvCalcBayesianProb()

void cvCalcBayesianProb ( CvHistogram **  src,
int  number,
CvHistogram **  dst 
)

Calculates bayesian probabilistic histograms (each or src and dst is an array of number histograms.

§ cvCalcEMD2()

float cvCalcEMD2 ( const CvArr signature1,
const CvArr signature2,
int  distance_type,
CvDistanceFunction  distance_func = NULL,
const CvArr cost_matrix = NULL,
CvArr flow = NULL,
float *  lower_bound = NULL,
void *  userdata = NULL 
)

Computes earth mover distance between two weighted point sets (called signatures)

See also
cv::EMD

§ cvCalcHist()

void cvCalcHist ( IplImage **  image,
CvHistogram hist,
int  accumulate = 0,
const CvArr mask = NULL 
)

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

§ cvCalcProbDensity()

void cvCalcProbDensity ( const CvHistogram hist1,
const CvHistogram hist2,
CvHistogram dst_hist,
double  scale = 255 
)

Divides one histogram by another.

The function calculates the object probability density from two histograms as:

\[\texttt{disthist} (I)= \forkthree{0}{if \(\texttt{hist1}(I)=0\)}{\texttt{scale}}{if \(\texttt{hist1}(I) \ne 0\) and \(\texttt{hist2}(I) > \texttt{hist1}(I)\)}{\frac{\texttt{hist2}(I) \cdot \texttt{scale}}{\texttt{hist1}(I)}}{if \(\texttt{hist1}(I) \ne 0\) and \(\texttt{hist2}(I) \le \texttt{hist1}(I)\)}\]

Parameters
hist1First histogram (the divisor).
hist2Second histogram.
dst_histDestination histogram.
scaleScale factor for the destination histogram.

§ cvCanny()

void cvCanny ( const CvArr image,
CvArr edges,
double  threshold1,
double  threshold2,
int  aperture_size = 3 
)

Runs canny edge detector.

See also
cv::Canny

§ cvCheckContourConvexity()

int cvCheckContourConvexity ( const CvArr contour)

Checks whether the contour is convex or not (returns 1 if convex, 0 if not)

See also
cv::isContourConvex

§ cvCircle()

void cvCircle ( CvArr img,
CvPoint  center,
int  radius,
CvScalar  color,
int  thickness = 1,
int  line_type = 8,
int  shift = 0 
)

Draws a circle with specified center and radius.

Thickness works in the same way as with cvRectangle

See also
cv::circle

§ cvClearHist()

void cvClearHist ( CvHistogram hist)

Clears the histogram.

The function sets all of the histogram bins to 0 in case of a dense histogram and removes all histogram bins in case of a sparse array.

Parameters
histHistogram.

§ cvClipLine()

int cvClipLine ( CvSize  img_size,
CvPoint pt1,
CvPoint pt2 
)

Clips the line segment connecting *pt1 and *pt2 by the rectangular window.

(0<=x<img_size.width, 0<=y<img_size.height).

See also
cv::clipLine

§ cvColorToScalar()

CvScalar cvColorToScalar ( double  packed_color,
int  arrtype 
)

Unpacks color value.

if arrtype is CV_8UC?, color is treated as packed color value, otherwise the first channels (depending on arrtype) of destination scalar are set to the same value = color

§ cvCompareHist()

double cvCompareHist ( const CvHistogram hist1,
const CvHistogram hist2,
int  method 
)

Compares two histogram

§ cvContourArea()

double cvContourArea ( const CvArr contour,
CvSlice  slice = CV_WHOLE_SEQ,
int  oriented = 0 
)

Calculates area of a contour or contour segment.

See also
cv::contourArea

§ cvContourPerimeter()

double cvContourPerimeter ( const void *  contour)

same as cvArcLength for closed contour

§ cvConvertMaps()

void cvConvertMaps ( const CvArr mapx,
const CvArr mapy,
CvArr mapxy,
CvArr mapalpha 
)

Converts mapx & mapy from floating-point to integer formats for cvRemap.

See also
cv::convertMaps

§ cvConvexHull2()

CvSeq* cvConvexHull2 ( const CvArr input,
void *  hull_storage = NULL,
int  orientation = CV_CLOCKWISE,
int  return_points = 0 
)

Calculates exact convex hull of 2d point set.

See also
cv::convexHull

§ cvConvexityDefects()

CvSeq* cvConvexityDefects ( const CvArr contour,
const CvArr convexhull,
CvMemStorage storage = NULL 
)

Finds convexity defects for the contour.

See also
cv::convexityDefects

§ cvCopyHist()

void cvCopyHist ( const CvHistogram src,
CvHistogram **  dst 
)

Copies a histogram.

The function makes a copy of the histogram. If the second histogram pointer *dst is NULL, a new histogram of the same size as src is created. Otherwise, both histograms must have equal types and sizes. Then the function copies the bin values of the source histogram to the destination histogram and sets the same bin value ranges as in src.

Parameters
srcSource histogram.
dstPointer to the destination histogram.

§ cvCopyMakeBorder()

void cvCopyMakeBorder ( const CvArr src,
CvArr dst,
CvPoint  offset,
int  bordertype,
CvScalar  value = cvScalarAll(0) 
)

Copies source 2D array inside of the larger destination array and makes a border of the specified type (IPL_BORDER_*) around the copied area.

§ cvCornerEigenValsAndVecs()

void cvCornerEigenValsAndVecs ( const CvArr image,
CvArr eigenvv,
int  block_size,
int  aperture_size = 3 
)

Calculates eigen values and vectors of 2x2 gradient covariation matrix at every image pixel.

See also
cv::cornerEigenValsAndVecs

§ cvCornerHarris()

void cvCornerHarris ( const CvArr image,
CvArr harris_response,
int  block_size,
int  aperture_size = 3,
double  k = 0.04 
)

Harris corner detector:

Calculates det(M) - k*(trace(M)^2), where M is 2x2 gradient covariation matrix for each pixel

See also
cv::cornerHarris

§ cvCornerMinEigenVal()

void cvCornerMinEigenVal ( const CvArr image,
CvArr eigenval,
int  block_size,
int  aperture_size = 3 
)

Calculates minimal eigenvalue for 2x2 gradient covariation matrix at every image pixel.

See also
cv::cornerMinEigenVal

§ cvCreateHist()

CvHistogram* cvCreateHist ( int  dims,
int *  sizes,
int  type,
float **  ranges = NULL,
int  uniform = 1 
)

Creates a histogram.

The function creates a histogram of the specified size and returns a pointer to the created histogram. If the array ranges is 0, the histogram bin ranges must be specified later via the function cvSetHistBinRanges. Though cvCalcHist and cvCalcBackProject may process 8-bit images without setting bin ranges, they assume they are equally spaced in 0 to 255 bins.

Parameters
dimsNumber of histogram dimensions.
sizesArray of the histogram dimension sizes.
typeHistogram representation format. CV_HIST_ARRAY means that the histogram data is represented as a multi-dimensional dense array CvMatND. CV_HIST_SPARSE means that histogram data is represented as a multi-dimensional sparse array CvSparseMat.
rangesArray of ranges for the histogram bins. Its meaning depends on the uniform parameter value. The ranges are used when the histogram is calculated or backprojected to determine which histogram bin corresponds to which value/tuple of values from the input image(s).
uniformUniformity flag. If not zero, the histogram has evenly spaced bins and for every \(0<=i<cDims\) ranges[i] is an array of two numbers: lower and upper boundaries for the i-th histogram dimension. The whole range [lower,upper] is then split into dims[i] equal parts to determine the i-th input tuple value ranges for every histogram bin. And if uniform=0 , then the i-th element of the ranges array contains dims[i]+1 elements: \(\texttt{lower}_0, \texttt{upper}_0, \texttt{lower}_1, \texttt{upper}_1 = \texttt{lower}_2, ... \texttt{upper}_{dims[i]-1}\) where \(\texttt{lower}_j\) and \(\texttt{upper}_j\) are lower and upper boundaries of the i-th input tuple value for the j-th bin, respectively. In either case, the input values that are beyond the specified range for a histogram bin are not counted by cvCalcHist and filled with 0 by cvCalcBackProject.

§ cvCreatePyramid()

CvMat** cvCreatePyramid ( const CvArr img,
int  extra_layers,
double  rate,
const CvSize layer_sizes = 0,
CvArr bufarr = 0,
int  calc = 1,
int  filter = CV_GAUSSIAN_5x5 
)

Builds pyramid for an image.

See also
buildPyramid

§ cvCreateStructuringElementEx()

IplConvKernel* cvCreateStructuringElementEx ( int  cols,
int  rows,
int  anchor_x,
int  anchor_y,
int  shape,
int *  values = NULL 
)

Returns a structuring element of the specified size and shape for morphological operations.

Note
the created structuring element IplConvKernel* element must be released in the end using cvReleaseStructuringElement(&element).
Parameters
colsWidth of the structuring element
rowsHeight of the structuring element
anchor_xx-coordinate of the anchor
anchor_yy-coordinate of the anchor
shapeelement shape that could be one of the cv::MorphShapes_c
valuesinteger array of cols*rows elements that specifies the custom shape of the structuring element, when shape=CV_SHAPE_CUSTOM.
See also
cv::getStructuringElement

§ cvCvtColor()

void cvCvtColor ( const CvArr src,
CvArr dst,
int  code 
)

Converts input array pixels from one color space to another.

See also
cv::cvtColor

§ cvDilate()

void cvDilate ( const CvArr src,
CvArr dst,
IplConvKernel element = NULL,
int  iterations = 1 
)

dilates input image (applies maximum filter) one or more times.

If element pointer is NULL, 3x3 rectangular element is used

See also
cv::dilate

§ cvDistTransform()

void cvDistTransform ( const CvArr src,
CvArr dst,
int  distance_type = CV_DIST_L2,
int  mask_size = 3,
const float *  mask = NULL,
CvArr labels = NULL,
int  labelType = CV_DIST_LABEL_CCOMP 
)

Applies distance transform to binary image.

See also
cv::distanceTransform

§ cvDrawContours()

void cvDrawContours ( CvArr img,
CvSeq contour,
CvScalar  external_color,
CvScalar  hole_color,
int  max_level,
int  thickness = 1,
int  line_type = 8,
CvPoint  offset = cvPoint(0, 0) 
)

Draws contour outlines or filled interiors on the image.

See also
cv::drawContours

§ cvEllipse()

void cvEllipse ( CvArr img,
CvPoint  center,
CvSize  axes,
double  angle,
double  start_angle,
double  end_angle,
CvScalar  color,
int  thickness = 1,
int  line_type = 8,
int  shift = 0 
)

Draws ellipse outline, filled ellipse, elliptic arc or filled elliptic sector.

depending on thickness, start_angle and end_angle parameters. The resultant figure is rotated by angle. All the angles are in degrees

See also
cv::ellipse

§ cvEllipse2Poly()

int cvEllipse2Poly ( CvPoint  center,
CvSize  axes,
int  angle,
int  arc_start,
int  arc_end,
CvPoint pts,
int  delta 
)

Returns the polygon points which make up the given ellipse.

The ellipse is define by the box of size 'axes' rotated 'angle' around the 'center'. A partial sweep of the ellipse arc can be done by spcifying arc_start and arc_end to be something other than 0 and 360, respectively. The input array 'pts' must be large enough to hold the result. The total number of points stored into 'pts' is returned by this function.

See also
cv::ellipse2Poly

§ cvEllipseBox()

void cvEllipseBox ( CvArr img,
CvBox2D  box,
CvScalar  color,
int  thickness = 1,
int  line_type = 8,
int  shift = 0 
)

§ cvEndFindContours()

CvSeq* cvEndFindContours ( CvContourScanner scanner)

Releases contour scanner and returns pointer to the first outer contour.

See also
cvFindContours

§ cvEqualizeHist()

void cvEqualizeHist ( const CvArr src,
CvArr dst 
)

equalizes histogram of 8-bit single-channel image

See also
cv::equalizeHist

§ cvErode()

void cvErode ( const CvArr src,
CvArr dst,
IplConvKernel element = NULL,
int  iterations = 1 
)

erodes input image (applies minimum filter) one or more times. If element pointer is NULL, 3x3 rectangular element is used

See also
cv::erode

§ cvFillConvexPoly()

void cvFillConvexPoly ( CvArr img,
const CvPoint pts,
int  npts,
CvScalar  color,
int  line_type = 8,
int  shift = 0 
)

Fills convex or monotonous polygon.

See also
cv::fillConvexPoly

§ cvFillPoly()

void cvFillPoly ( CvArr img,
CvPoint **  pts,
const int *  npts,
int  contours,
CvScalar  color,
int  line_type = 8,
int  shift = 0 
)

Fills an area bounded by one or more arbitrary polygons.

See also
cv::fillPoly

§ cvFilter2D()

void cvFilter2D ( const CvArr src,
CvArr dst,
const CvMat kernel,
CvPoint  anchor = cvPoint(-1,-1) 
)

Convolves an image with the kernel.

Parameters
srcinput image.
dstoutput image of the same size and the same number of channels as src.
kernelconvolution kernel (or rather a correlation kernel), a single-channel floating point matrix; if you want to apply different kernels to different channels, split the image into separate color planes using split and process them individually.
anchoranchor of the kernel that indicates the relative position of a filtered point within the kernel; the anchor should lie within the kernel; default value (-1,-1) means that the anchor is at the kernel center.
See also
cv::filter2D

§ cvFindContours()

int cvFindContours ( CvArr image,
CvMemStorage storage,
CvSeq **  first_contour,
int  header_size = sizeof(CvContour),
int  mode = CV_RETR_LIST,
int  method = CV_CHAIN_APPROX_SIMPLE,
CvPoint  offset = cvPoint(0, 0) 
)

Retrieves outer and optionally inner boundaries of white (non-zero) connected components in the black (zero) background.

See also
cv::findContours, cvStartFindContours, cvFindNextContour, cvSubstituteContour, cvEndFindContours

§ cvFindCornerSubPix()

void cvFindCornerSubPix ( const CvArr image,
CvPoint2D32f corners,
int  count,
CvSize  win,
CvSize  zero_zone,
CvTermCriteria  criteria 
)

Adjust corner position using some sort of gradient search.

See also
cv::cornerSubPix

§ cvFindNextContour()

CvSeq* cvFindNextContour ( CvContourScanner  scanner)

Retrieves next contour.

See also
cvFindContours

§ cvFitEllipse2()

CvBox2D cvFitEllipse2 ( const CvArr points)

Fits ellipse into a set of 2d points.

See also
cv::fitEllipse

§ cvFitLine()

void cvFitLine ( const CvArr points,
int  dist_type,
double  param,
double  reps,
double  aeps,
float *  line 
)

Fits a line into set of 2d or 3d points in a robust way (M-estimator technique)

See also
cv::fitLine

§ cvFloodFill()

void cvFloodFill ( CvArr image,
CvPoint  seed_point,
CvScalar  new_val,
CvScalar  lo_diff = cvScalarAll(0),
CvScalar  up_diff = cvScalarAll(0),
CvConnectedComp comp = NULL,
int  flags = 4,
CvArr mask = NULL 
)

Fills the connected component until the color difference gets large enough.

See also
cv::floodFill

§ cvFont()

CvFont cvFont ( double  scale,
int  thickness = 1 
)

§ cvGetAffineTransform()

CvMat* cvGetAffineTransform ( const CvPoint2D32f src,
const CvPoint2D32f dst,
CvMat map_matrix 
)

Computes affine transform matrix for mapping src[i] to dst[i] (i=0,1,2)

See also
cv::getAffineTransform

§ cvGetCentralMoment()

double cvGetCentralMoment ( CvMoments moments,
int  x_order,
int  y_order 
)

Retrieve central moments.

§ cvGetHuMoments()

void cvGetHuMoments ( CvMoments moments,
CvHuMoments hu_moments 
)

Calculates 7 Hu's invariants from precalculated spatial and central moments.

See also
cv::HuMoments

§ cvGetMinMaxHistValue()

void cvGetMinMaxHistValue ( const CvHistogram hist,
float *  min_value,
float *  max_value,
int *  min_idx = NULL,
int *  max_idx = NULL 
)

Finds the minimum and maximum histogram bins.

The function finds the minimum and maximum histogram bins and their positions. All of output arguments are optional. Among several extremas with the same value the ones with the minimum index (in the lexicographical order) are returned. In case of several maximums or minimums, the earliest in the lexicographical order (extrema locations) is returned.

Parameters
histHistogram.
min_valuePointer to the minimum value of the histogram.
max_valuePointer to the maximum value of the histogram.
min_idxPointer to the array of coordinates for the minimum.
max_idxPointer to the array of coordinates for the maximum.

§ cvGetNormalizedCentralMoment()

double cvGetNormalizedCentralMoment ( CvMoments moments,
int  x_order,
int  y_order 
)

Retrieve normalized central moments.

§ cvGetPerspectiveTransform()

CvMat* cvGetPerspectiveTransform ( const CvPoint2D32f src,
const CvPoint2D32f dst,
CvMat map_matrix 
)

Computes perspective transform matrix for mapping src[i] to dst[i] (i=0,1,2,3)

See also
cv::getPerspectiveTransform

§ cvGetQuadrangleSubPix()

void cvGetQuadrangleSubPix ( const CvArr src,
CvArr dst,
const CvMat map_matrix 
)

Retrieves quadrangle from the input array.

matrixarr = ( a11 a12 | b1 ) dst(x,y) <- src(A[x y]' + b) ( a21 a22 | b2 ) (bilinear interpolation is used to retrieve pixels with fractional coordinates)

See also
cvWarpAffine

§ cvGetRectSubPix()

void cvGetRectSubPix ( const CvArr src,
CvArr dst,
CvPoint2D32f  center 
)

Retrieves the rectangular image region with specified center from the input array.

dst(x,y) <- src(x + center.x - dst_width/2, y + center.y - dst_height/2). Values of pixels with fractional coordinates are retrieved using bilinear interpolation

See also
cv::getRectSubPix

§ cvGetSpatialMoment()

double cvGetSpatialMoment ( CvMoments moments,
int  x_order,
int  y_order 
)

Retrieve spatial moments.

§ cvGetTextSize()

void cvGetTextSize ( const char *  text_string,
const CvFont font,
CvSize text_size,
int *  baseline 
)

Calculates bounding box of text stroke (useful for alignment)

See also
cv::getTextSize

§ cvGoodFeaturesToTrack()

void cvGoodFeaturesToTrack ( const CvArr image,
CvArr eig_image,
CvArr temp_image,
CvPoint2D32f corners,
int *  corner_count,
double  quality_level,
double  min_distance,
const CvArr mask = NULL,
int  block_size = 3,
int  use_harris = 0,
double  k = 0.04 
)

Finds a sparse set of points within the selected region that seem to be easy to track.

See also
cv::goodFeaturesToTrack

§ cvHoughCircles()

CvSeq* cvHoughCircles ( CvArr image,
void *  circle_storage,
int  method,
double  dp,
double  min_dist,
double  param1 = 100,
double  param2 = 100,
int  min_radius = 0,
int  max_radius = 0 
)

Finds circles in the image.

See also
cv::HoughCircles

§ cvHoughLines2()

CvSeq* cvHoughLines2 ( CvArr image,
void *  line_storage,
int  method,
double  rho,
double  theta,
int  threshold,
double  param1 = 0,
double  param2 = 0,
double  min_theta = 0,
double  max_theta = CV_PI 
)

Finds lines on binary image using one of several methods.

line_storage is either memory storage or 1 x max number of lines CvMat, its number of columns is changed by the function. method is one of CV_HOUGH_*; rho, theta and threshold are used for each of those methods; param1 ~ line length, param2 ~ line gap - for probabilistic, param1 ~ srn, param2 ~ stn - for multi-scale

See also
cv::HoughLines

§ cvInitFont()

void cvInitFont ( CvFont font,
int  font_face,
double  hscale,
double  vscale,
double  shear = 0,
int  thickness = 1,
int  line_type = 8 
)

Initializes font structure (OpenCV 1.x API).

The function initializes the font structure that can be passed to text rendering functions.

Parameters
fontPointer to the font structure initialized by the function
font_faceFont name identifier. See cv::HersheyFonts and corresponding old CV_* identifiers.
hscaleHorizontal scale. If equal to 1.0f , the characters have the original width depending on the font type. If equal to 0.5f , the characters are of half the original width.
vscaleVertical scale. If equal to 1.0f , the characters have the original height depending on the font type. If equal to 0.5f , the characters are of half the original height.
shearApproximate tangent of the character slope relative to the vertical line. A zero value means a non-italic font, 1.0f means about a 45 degree slope, etc.
thicknessThickness of the text strokes
line_typeType of the strokes, see line description
See also
cvPutText

§ cvInitLineIterator()

int cvInitLineIterator ( const CvArr image,
CvPoint  pt1,
CvPoint  pt2,
CvLineIterator line_iterator,
int  connectivity = 8,
int  left_to_right = 0 
)

Initializes line iterator.

Initially, line_iterator->ptr will point to pt1 (or pt2, see left_to_right description) location in the image. Returns the number of pixels on the line between the ending points.

See also
cv::LineIterator

§ cvInitUndistortMap()

void cvInitUndistortMap ( const CvMat camera_matrix,
const CvMat distortion_coeffs,
CvArr mapx,
CvArr mapy 
)

Computes transformation map from intrinsic camera parameters that can used by cvRemap.

§ cvInitUndistortRectifyMap()

void cvInitUndistortRectifyMap ( const CvMat camera_matrix,
const CvMat dist_coeffs,
const CvMat R,
const CvMat new_camera_matrix,
CvArr mapx,
CvArr mapy 
)

Computes undistortion+rectification map for a head of stereo camera.

See also
cv::initUndistortRectifyMap

§ cvIntegral()

void cvIntegral ( const CvArr image,
CvArr sum,
CvArr sqsum = NULL,
CvArr tilted_sum = NULL 
)

Finds integral image: SUM(X,Y) = sum(x<X,y<Y)I(x,y)

See also
cv::integral

§ cvLaplace()

void cvLaplace ( const CvArr src,
CvArr dst,
int  aperture_size = 3 
)

Calculates the image Laplacian: (d2/dx + d2/dy)I.

See also
cv::Laplacian

§ cvLine()

void cvLine ( CvArr img,
CvPoint  pt1,
CvPoint  pt2,
CvScalar  color,
int  thickness = 1,
int  line_type = 8,
int  shift = 0 
)

Draws 4-connected, 8-connected or antialiased line segment connecting two points.

See also
cv::line

§ cvLinearPolar()

void cvLinearPolar ( const CvArr src,
CvArr dst,
CvPoint2D32f  center,
double  maxRadius,
int  flags = CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS 
)

Performs forward or inverse linear-polar image transform

See also
cv::linearPolar

§ cvLogPolar()

void cvLogPolar ( const CvArr src,
CvArr dst,
CvPoint2D32f  center,
double  M,
int  flags = CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS 
)

Performs forward or inverse log-polar image transform.

See also
cv::logPolar

§ cvMakeHistHeaderForArray()

CvHistogram* cvMakeHistHeaderForArray ( int  dims,
int *  sizes,
CvHistogram hist,
float *  data,
float **  ranges = NULL,
int  uniform = 1 
)

Makes a histogram out of an array.

The function initializes the histogram, whose header and bins are allocated by the user. cvReleaseHist does not need to be called afterwards. Only dense histograms can be initialized this way. The function returns hist.

Parameters
dimsNumber of the histogram dimensions.
sizesArray of the histogram dimension sizes.
histHistogram header initialized by the function.
dataArray used to store histogram bins.
rangesHistogram bin ranges. See cvCreateHist for details.
uniformUniformity flag. See cvCreateHist for details.

§ cvMatchShapes()

double cvMatchShapes ( const void *  object1,
const void *  object2,
int  method,
double  parameter = 0 
)

Compares two contours by matching their moments.

See also
cv::matchShapes

§ cvMatchTemplate()

void cvMatchTemplate ( const CvArr image,
const CvArr templ,
CvArr result,
int  method 
)

Measures similarity between template and overlapped windows in the source image and fills the resultant image with the measurements.

See also
cv::matchTemplate

§ cvMaxRect()

CvRect cvMaxRect ( const CvRect rect1,
const CvRect rect2 
)

Finds minimum rectangle containing two given rectangles.

§ cvMinAreaRect2()

CvBox2D cvMinAreaRect2 ( const CvArr points,
CvMemStorage storage = NULL 
)

Finds minimum area rotated rectangle bounding a set of points.

See also
cv::minAreaRect

§ cvMinEnclosingCircle()

int cvMinEnclosingCircle ( const CvArr points,
CvPoint2D32f center,
float *  radius 
)

Finds minimum enclosing circle for a set of points.

See also
cv::minEnclosingCircle

§ cvMoments()

void cvMoments ( const CvArr arr,
CvMoments moments,
int  binary = 0 
)

Calculates all spatial and central moments up to the 3rd order.

See also
cv::moments

§ cvMorphologyEx()

void cvMorphologyEx ( const CvArr src,
CvArr dst,
CvArr temp,
IplConvKernel element,
int  operation,
int  iterations = 1 
)

Performs complex morphological transformation.

See also
cv::morphologyEx

§ cvMultiplyAcc()

void cvMultiplyAcc ( const CvArr image1,
const CvArr image2,
CvArr acc,
const CvArr mask = NULL 
)

Adds a product of two images to accumulator.

See also
cv::accumulateProduct

§ cvNormalizeHist()

void cvNormalizeHist ( CvHistogram hist,
double  factor 
)

Normalizes the histogram.

The function normalizes the histogram bins by scaling them so that the sum of the bins becomes equal to factor.

Parameters
histPointer to the histogram.
factorNormalization factor.

§ cvPointPolygonTest()

double cvPointPolygonTest ( const CvArr contour,
CvPoint2D32f  pt,
int  measure_dist 
)

Checks whether the point is inside polygon, outside, on an edge (at a vertex).

Returns positive, negative or zero value, correspondingly. Optionally, measures a signed distance between the point and the nearest polygon edge (measure_dist=1)

See also
cv::pointPolygonTest

§ cvPointSeqFromMat()

CvSeq* cvPointSeqFromMat ( int  seq_kind,
const CvArr mat,
CvContour contour_header,
CvSeqBlock block 
)

Initializes sequence header for a matrix (column or row vector) of points.

a wrapper for cvMakeSeqHeaderForArray (it does not initialize bounding rectangle!!!)

§ cvPolyLine()

void cvPolyLine ( CvArr img,
CvPoint **  pts,
const int *  npts,
int  contours,
int  is_closed,
CvScalar  color,
int  thickness = 1,
int  line_type = 8,
int  shift = 0 
)

Draws one or more polygonal curves.

See also
cv::polylines

§ cvPreCornerDetect()

void cvPreCornerDetect ( const CvArr image,
CvArr corners,
int  aperture_size = 3 
)

Calculates constraint image for corner detection.

Dx^2 * Dyy + Dxx * Dy^2 - 2 * Dx * Dy * Dxy. Applying threshold to the result gives coordinates of corners

See also
cv::preCornerDetect

§ cvPutText()

void cvPutText ( CvArr img,
const char *  text,
CvPoint  org,
const CvFont font,
CvScalar  color 
)

Renders text stroke with specified font and color at specified location. CvFont should be initialized with cvInitFont.

See also
cvInitFont, cvGetTextSize, cvFont, cv::putText

§ cvPyrDown()

void cvPyrDown ( const CvArr src,
CvArr dst,
int  filter = CV_GAUSSIAN_5x5 
)

Smoothes the input image with gaussian kernel and then down-samples it.

dst_width = floor(src_width/2)[+1], dst_height = floor(src_height/2)[+1]

See also
cv::pyrDown

§ cvPyrMeanShiftFiltering()

void cvPyrMeanShiftFiltering ( const CvArr src,
CvArr dst,
double  sp,
double  sr,
int  max_level = 1,
CvTermCriteria  termcrit = cvTermCriteria(CV_TERMCRIT_ITER+CV_TERMCRIT_EPS, 5, 1) 
)

Filters image using meanshift algorithm.

See also
cv::pyrMeanShiftFiltering

§ cvPyrUp()

void cvPyrUp ( const CvArr src,
CvArr dst,
int  filter = CV_GAUSSIAN_5x5 
)

Up-samples image and smoothes the result with gaussian kernel.

dst_width = src_width*2, dst_height = src_height*2

See also
cv::pyrUp

§ cvReadChainPoint()

CvPoint cvReadChainPoint ( CvChainPtReader reader)

Retrieves the next chain point.

See also
cvApproxChains

§ cvRectangle()

void cvRectangle ( CvArr img,
CvPoint  pt1,
CvPoint  pt2,
CvScalar  color,
int  thickness = 1,
int  line_type = 8,
int  shift = 0 
)

Draws a rectangle given two opposite corners of the rectangle (pt1 & pt2)

if thickness<0 (e.g. thickness == CV_FILLED), the filled box is drawn

See also
cv::rectangle

§ cvRectangleR()

void cvRectangleR ( CvArr img,
CvRect  r,
CvScalar  color,
int  thickness = 1,
int  line_type = 8,
int  shift = 0 
)

Draws a rectangle specified by a CvRect structure.

See also
cv::rectangle

§ cvReleaseHist()

void cvReleaseHist ( CvHistogram **  hist)

Releases the histogram.

The function releases the histogram (header and the data). The pointer to the histogram is cleared by the function. If *hist pointer is already NULL, the function does nothing.

Parameters
histDouble pointer to the released histogram.

§ cvReleasePyramid()

void cvReleasePyramid ( CvMat ***  pyramid,
int  extra_layers 
)

Releases pyramid.

§ cvReleaseStructuringElement()

void cvReleaseStructuringElement ( IplConvKernel **  element)

releases structuring element

See also
cvCreateStructuringElementEx

§ cvRemap()

void cvRemap ( const CvArr src,
CvArr dst,
const CvArr mapx,
const CvArr mapy,
int  flags = CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS,
CvScalar  fillval = cvScalarAll(0) 
)

Performs generic geometric transformation using the specified coordinate maps.

See also
cv::remap

§ cvResize()

void cvResize ( const CvArr src,
CvArr dst,
int  interpolation = CV_INTER_LINEAR 
)

Resizes image (input array is resized to fit the destination array)

See also
cv::resize

§ cvRunningAvg()

void cvRunningAvg ( const CvArr image,
CvArr acc,
double  alpha,
const CvArr mask = NULL 
)

Adds image to accumulator with weights: acc = acc*(1-alpha) + image*alpha.

See also
cv::accumulateWeighted

§ cvSampleLine()

int cvSampleLine ( const CvArr image,
CvPoint  pt1,
CvPoint  pt2,
void *  buffer,
int  connectivity = 8 
)

Fetches pixels that belong to the specified line segment and stores them to the buffer.

Returns the number of retrieved points.

See also
cv::LineSegmentDetector

§ cvSetHistBinRanges()

void cvSetHistBinRanges ( CvHistogram hist,
float **  ranges,
int  uniform = 1 
)

Sets the bounds of the histogram bins.

This is a standalone function for setting bin ranges in the histogram. For a more detailed description of the parameters ranges and uniform, see the :ocvCalcHist function that can initialize the ranges as well. Ranges for the histogram bins must be set before the histogram is calculated or the backproject of the histogram is calculated.

Parameters
histHistogram.
rangesArray of bin ranges arrays. See :ocvCreateHist for details.
uniformUniformity flag. See :ocvCreateHist for details.

§ cvSmooth()

void cvSmooth ( const CvArr src,
CvArr dst,
int  smoothtype = CV_GAUSSIAN,
int  size1 = 3,
int  size2 = 0,
double  sigma1 = 0,
double  sigma2 = 0 
)

Smooths the image in one of several ways.

Parameters
srcThe source image
dstThe destination image
smoothtypeType of the smoothing, see SmoothMethod_c
size1The first parameter of the smoothing operation, the aperture width. Must be a positive odd number (1, 3, 5, ...)
size2The second parameter of the smoothing operation, the aperture height. Ignored by CV_MEDIAN and CV_BILATERAL methods. In the case of simple scaled/non-scaled and Gaussian blur if size2 is zero, it is set to size1. Otherwise it must be a positive odd number.
sigma1In the case of a Gaussian parameter this parameter may specify Gaussian \(\sigma\) (standard deviation). If it is zero, it is calculated from the kernel size:

\[\sigma = 0.3 (n/2 - 1) + 0.8 \quad \text{where} \quad n= \begin{array}{l l} \mbox{\texttt{size1} for horizontal kernel} \\ \mbox{\texttt{size2} for vertical kernel} \end{array}\]

Using standard sigma for small kernels ( \(3\times 3\) to \(7\times 7\) ) gives better speed. If sigma1 is not zero, while size1 and size2 are zeros, the kernel size is calculated from the sigma (to provide accurate enough operation).
sigma2additional parameter for bilateral filtering
See also
cv::GaussianBlur, cv::blur, cv::medianBlur, cv::bilateralFilter.

§ cvSobel()

void cvSobel ( const CvArr src,
CvArr dst,
int  xorder,
int  yorder,
int  aperture_size = 3 
)

Calculates an image derivative using generalized Sobel.

(aperture_size = 1,3,5,7) or Scharr (aperture_size = -1) operator. Scharr can be used only for the first dx or dy derivative

See also
cv::Sobel

§ cvSquareAcc()

void cvSquareAcc ( const CvArr image,
CvArr sqsum,
const CvArr mask = NULL 
)

Adds squared image to accumulator.

See also
cv::accumulateSquare

§ cvStartFindContours()

CvContourScanner cvStartFindContours ( CvArr image,
CvMemStorage storage,
int  header_size = sizeof(CvContour),
int  mode = CV_RETR_LIST,
int  method = CV_CHAIN_APPROX_SIMPLE,
CvPoint  offset = cvPoint(0, 0) 
)

Initializes contour retrieving process.

Calls cvStartFindContours. Calls cvFindNextContour until null pointer is returned or some other condition becomes true. Calls cvEndFindContours at the end.

See also
cvFindContours

§ cvStartReadChainPoints()

void cvStartReadChainPoints ( CvChain chain,
CvChainPtReader reader 
)

Initializes Freeman chain reader.

The reader is used to iteratively get coordinates of all the chain points. If the Freeman codes should be read as is, a simple sequence reader should be used

See also
cvApproxChains

§ cvSubstituteContour()

void cvSubstituteContour ( CvContourScanner  scanner,
CvSeq new_contour 
)

Substitutes the last retrieved contour with the new one.

(if the substitutor is null, the last retrieved contour is removed from the tree)

See also
cvFindContours

§ cvThreshHist()

void cvThreshHist ( CvHistogram hist,
double  threshold 
)

Thresholds the histogram.

The function clears histogram bins that are below the specified threshold.

Parameters
histPointer to the histogram.
thresholdThreshold level.

§ cvThreshold()

double cvThreshold ( const CvArr src,
CvArr dst,
double  threshold,
double  max_value,
int  threshold_type 
)

Applies fixed-level threshold to grayscale image.

This is a basic operation applied before retrieving contours

See also
cv::threshold

§ cvUndistort2()

void cvUndistort2 ( const CvArr src,
CvArr dst,
const CvMat camera_matrix,
const CvMat distortion_coeffs,
const CvMat new_camera_matrix = 0 
)

Transforms the input image to compensate lens distortion.

See also
cv::undistort

§ cvUndistortPoints()

void cvUndistortPoints ( const CvMat src,
CvMat dst,
const CvMat camera_matrix,
const CvMat dist_coeffs,
const CvMat R = 0,
const CvMat P = 0 
)

Computes the original (undistorted) feature coordinates from the observed (distorted) coordinates.

See also
cv::undistortPoints

§ cvWarpAffine()

void cvWarpAffine ( const CvArr src,
CvArr dst,
const CvMat map_matrix,
int  flags = CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS,
CvScalar  fillval = cvScalarAll(0) 
)

Warps image with affine transform.

Note
cvGetQuadrangleSubPix is similar to cvWarpAffine, but the outliers are extrapolated using replication border mode.
See also
cv::warpAffine

§ cvWarpPerspective()

void cvWarpPerspective ( const CvArr src,
CvArr dst,
const CvMat map_matrix,
int  flags = CV_INTER_LINEAR+CV_WARP_FILL_OUTLIERS,
CvScalar  fillval = cvScalarAll(0) 
)

Warps image with perspective (projective) transform.

See also
cv::warpPerspective

§ cvWatershed()

void cvWatershed ( const CvArr image,
CvArr markers 
)

Segments image using seed "markers".

See also
cv::watershed