OpenCV  4.10.0-dev
Open Source Computer Vision
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Classes | Namespaces | Macros | Enumerations | Functions
imgproc.hpp File Reference
#include "opencv2/core.hpp"
#include "./imgproc/segmentation.hpp"
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Classes

class  cv::CLAHE
 Base class for Contrast Limited Adaptive Histogram Equalization. More...
 
class  cv::GeneralizedHough
 finds arbitrary template in the grayscale image using Generalized Hough Transform More...
 
class  cv::GeneralizedHoughBallard
 finds arbitrary template in the grayscale image using Generalized Hough Transform More...
 
class  cv::GeneralizedHoughGuil
 finds arbitrary template in the grayscale image using Generalized Hough Transform More...
 
class  cv::LineIterator
 Class for iterating over all pixels on a raster line segment. More...
 
class  cv::LineSegmentDetector
 Line segment detector class. More...
 
struct  cv::Subdiv2D::QuadEdge
 
class  cv::Subdiv2D
 
struct  cv::Subdiv2D::Vertex
 

Namespaces

namespace  cv
 "black box" representation of the file storage associated with a file on disk.
 

Macros

#define CV_RGB(r, g, b)   cv::Scalar((b), (g), (r), 0)
 

Enumerations

enum  cv::AdaptiveThresholdTypes {
  cv::ADAPTIVE_THRESH_MEAN_C = 0 ,
  cv::ADAPTIVE_THRESH_GAUSSIAN_C = 1
}
 
enum  cv::ColorConversionCodes {
  cv::COLOR_BGR2BGRA = 0 ,
  cv::COLOR_RGB2RGBA = COLOR_BGR2BGRA ,
  cv::COLOR_BGRA2BGR = 1 ,
  cv::COLOR_RGBA2RGB = COLOR_BGRA2BGR ,
  cv::COLOR_BGR2RGBA = 2 ,
  cv::COLOR_RGB2BGRA = COLOR_BGR2RGBA ,
  cv::COLOR_RGBA2BGR = 3 ,
  cv::COLOR_BGRA2RGB = COLOR_RGBA2BGR ,
  cv::COLOR_BGR2RGB = 4 ,
  cv::COLOR_RGB2BGR = COLOR_BGR2RGB ,
  cv::COLOR_BGRA2RGBA = 5 ,
  cv::COLOR_RGBA2BGRA = COLOR_BGRA2RGBA ,
  cv::COLOR_BGR2GRAY = 6 ,
  cv::COLOR_RGB2GRAY = 7 ,
  cv::COLOR_GRAY2BGR = 8 ,
  cv::COLOR_GRAY2RGB = COLOR_GRAY2BGR ,
  cv::COLOR_GRAY2BGRA = 9 ,
  cv::COLOR_GRAY2RGBA = COLOR_GRAY2BGRA ,
  cv::COLOR_BGRA2GRAY = 10 ,
  cv::COLOR_RGBA2GRAY = 11 ,
  cv::COLOR_BGR2BGR565 = 12 ,
  cv::COLOR_RGB2BGR565 = 13 ,
  cv::COLOR_BGR5652BGR = 14 ,
  cv::COLOR_BGR5652RGB = 15 ,
  cv::COLOR_BGRA2BGR565 = 16 ,
  cv::COLOR_RGBA2BGR565 = 17 ,
  cv::COLOR_BGR5652BGRA = 18 ,
  cv::COLOR_BGR5652RGBA = 19 ,
  cv::COLOR_GRAY2BGR565 = 20 ,
  cv::COLOR_BGR5652GRAY = 21 ,
  cv::COLOR_BGR2BGR555 = 22 ,
  cv::COLOR_RGB2BGR555 = 23 ,
  cv::COLOR_BGR5552BGR = 24 ,
  cv::COLOR_BGR5552RGB = 25 ,
  cv::COLOR_BGRA2BGR555 = 26 ,
  cv::COLOR_RGBA2BGR555 = 27 ,
  cv::COLOR_BGR5552BGRA = 28 ,
  cv::COLOR_BGR5552RGBA = 29 ,
  cv::COLOR_GRAY2BGR555 = 30 ,
  cv::COLOR_BGR5552GRAY = 31 ,
  cv::COLOR_BGR2XYZ = 32 ,
  cv::COLOR_RGB2XYZ = 33 ,
  cv::COLOR_XYZ2BGR = 34 ,
  cv::COLOR_XYZ2RGB = 35 ,
  cv::COLOR_BGR2YCrCb = 36 ,
  cv::COLOR_RGB2YCrCb = 37 ,
  cv::COLOR_YCrCb2BGR = 38 ,
  cv::COLOR_YCrCb2RGB = 39 ,
  cv::COLOR_BGR2HSV = 40 ,
  cv::COLOR_RGB2HSV = 41 ,
  cv::COLOR_BGR2Lab = 44 ,
  cv::COLOR_RGB2Lab = 45 ,
  cv::COLOR_BGR2Luv = 50 ,
  cv::COLOR_RGB2Luv = 51 ,
  cv::COLOR_BGR2HLS = 52 ,
  cv::COLOR_RGB2HLS = 53 ,
  cv::COLOR_HSV2BGR = 54 ,
  cv::COLOR_HSV2RGB = 55 ,
  cv::COLOR_Lab2BGR = 56 ,
  cv::COLOR_Lab2RGB = 57 ,
  cv::COLOR_Luv2BGR = 58 ,
  cv::COLOR_Luv2RGB = 59 ,
  cv::COLOR_HLS2BGR = 60 ,
  cv::COLOR_HLS2RGB = 61 ,
  cv::COLOR_BGR2HSV_FULL = 66 ,
  cv::COLOR_RGB2HSV_FULL = 67 ,
  cv::COLOR_BGR2HLS_FULL = 68 ,
  cv::COLOR_RGB2HLS_FULL = 69 ,
  cv::COLOR_HSV2BGR_FULL = 70 ,
  cv::COLOR_HSV2RGB_FULL = 71 ,
  cv::COLOR_HLS2BGR_FULL = 72 ,
  cv::COLOR_HLS2RGB_FULL = 73 ,
  cv::COLOR_LBGR2Lab = 74 ,
  cv::COLOR_LRGB2Lab = 75 ,
  cv::COLOR_LBGR2Luv = 76 ,
  cv::COLOR_LRGB2Luv = 77 ,
  cv::COLOR_Lab2LBGR = 78 ,
  cv::COLOR_Lab2LRGB = 79 ,
  cv::COLOR_Luv2LBGR = 80 ,
  cv::COLOR_Luv2LRGB = 81 ,
  cv::COLOR_BGR2YUV = 82 ,
  cv::COLOR_RGB2YUV = 83 ,
  cv::COLOR_YUV2BGR = 84 ,
  cv::COLOR_YUV2RGB = 85 ,
  cv::COLOR_YUV2RGB_NV12 = 90 ,
  cv::COLOR_YUV2BGR_NV12 = 91 ,
  cv::COLOR_YUV2RGB_NV21 = 92 ,
  cv::COLOR_YUV2BGR_NV21 = 93 ,
  cv::COLOR_YUV420sp2RGB = COLOR_YUV2RGB_NV21 ,
  cv::COLOR_YUV420sp2BGR = COLOR_YUV2BGR_NV21 ,
  cv::COLOR_YUV2RGBA_NV12 = 94 ,
  cv::COLOR_YUV2BGRA_NV12 = 95 ,
  cv::COLOR_YUV2RGBA_NV21 = 96 ,
  cv::COLOR_YUV2BGRA_NV21 = 97 ,
  cv::COLOR_YUV420sp2RGBA = COLOR_YUV2RGBA_NV21 ,
  cv::COLOR_YUV420sp2BGRA = COLOR_YUV2BGRA_NV21 ,
  cv::COLOR_YUV2RGB_YV12 = 98 ,
  cv::COLOR_YUV2BGR_YV12 = 99 ,
  cv::COLOR_YUV2RGB_IYUV = 100 ,
  cv::COLOR_YUV2BGR_IYUV = 101 ,
  cv::COLOR_YUV2RGB_I420 = COLOR_YUV2RGB_IYUV ,
  cv::COLOR_YUV2BGR_I420 = COLOR_YUV2BGR_IYUV ,
  cv::COLOR_YUV420p2RGB = COLOR_YUV2RGB_YV12 ,
  cv::COLOR_YUV420p2BGR = COLOR_YUV2BGR_YV12 ,
  cv::COLOR_YUV2RGBA_YV12 = 102 ,
  cv::COLOR_YUV2BGRA_YV12 = 103 ,
  cv::COLOR_YUV2RGBA_IYUV = 104 ,
  cv::COLOR_YUV2BGRA_IYUV = 105 ,
  cv::COLOR_YUV2RGBA_I420 = COLOR_YUV2RGBA_IYUV ,
  cv::COLOR_YUV2BGRA_I420 = COLOR_YUV2BGRA_IYUV ,
  cv::COLOR_YUV420p2RGBA = COLOR_YUV2RGBA_YV12 ,
  cv::COLOR_YUV420p2BGRA = COLOR_YUV2BGRA_YV12 ,
  cv::COLOR_YUV2GRAY_420 = 106 ,
  cv::COLOR_YUV2GRAY_NV21 = COLOR_YUV2GRAY_420 ,
  cv::COLOR_YUV2GRAY_NV12 = COLOR_YUV2GRAY_420 ,
  cv::COLOR_YUV2GRAY_YV12 = COLOR_YUV2GRAY_420 ,
  cv::COLOR_YUV2GRAY_IYUV = COLOR_YUV2GRAY_420 ,
  cv::COLOR_YUV2GRAY_I420 = COLOR_YUV2GRAY_420 ,
  cv::COLOR_YUV420sp2GRAY = COLOR_YUV2GRAY_420 ,
  cv::COLOR_YUV420p2GRAY = COLOR_YUV2GRAY_420 ,
  cv::COLOR_YUV2RGB_UYVY = 107 ,
  cv::COLOR_YUV2BGR_UYVY = 108 ,
  cv::COLOR_YUV2RGB_Y422 = COLOR_YUV2RGB_UYVY ,
  cv::COLOR_YUV2BGR_Y422 = COLOR_YUV2BGR_UYVY ,
  cv::COLOR_YUV2RGB_UYNV = COLOR_YUV2RGB_UYVY ,
  cv::COLOR_YUV2BGR_UYNV = COLOR_YUV2BGR_UYVY ,
  cv::COLOR_YUV2RGBA_UYVY = 111 ,
  cv::COLOR_YUV2BGRA_UYVY = 112 ,
  cv::COLOR_YUV2RGBA_Y422 = COLOR_YUV2RGBA_UYVY ,
  cv::COLOR_YUV2BGRA_Y422 = COLOR_YUV2BGRA_UYVY ,
  cv::COLOR_YUV2RGBA_UYNV = COLOR_YUV2RGBA_UYVY ,
  cv::COLOR_YUV2BGRA_UYNV = COLOR_YUV2BGRA_UYVY ,
  cv::COLOR_YUV2RGB_YUY2 = 115 ,
  cv::COLOR_YUV2BGR_YUY2 = 116 ,
  cv::COLOR_YUV2RGB_YVYU = 117 ,
  cv::COLOR_YUV2BGR_YVYU = 118 ,
  cv::COLOR_YUV2RGB_YUYV = COLOR_YUV2RGB_YUY2 ,
  cv::COLOR_YUV2BGR_YUYV = COLOR_YUV2BGR_YUY2 ,
  cv::COLOR_YUV2RGB_YUNV = COLOR_YUV2RGB_YUY2 ,
  cv::COLOR_YUV2BGR_YUNV = COLOR_YUV2BGR_YUY2 ,
  cv::COLOR_YUV2RGBA_YUY2 = 119 ,
  cv::COLOR_YUV2BGRA_YUY2 = 120 ,
  cv::COLOR_YUV2RGBA_YVYU = 121 ,
  cv::COLOR_YUV2BGRA_YVYU = 122 ,
  cv::COLOR_YUV2RGBA_YUYV = COLOR_YUV2RGBA_YUY2 ,
  cv::COLOR_YUV2BGRA_YUYV = COLOR_YUV2BGRA_YUY2 ,
  cv::COLOR_YUV2RGBA_YUNV = COLOR_YUV2RGBA_YUY2 ,
  cv::COLOR_YUV2BGRA_YUNV = COLOR_YUV2BGRA_YUY2 ,
  cv::COLOR_YUV2GRAY_UYVY = 123 ,
  cv::COLOR_YUV2GRAY_YUY2 = 124 ,
  cv::COLOR_YUV2GRAY_Y422 = COLOR_YUV2GRAY_UYVY ,
  cv::COLOR_YUV2GRAY_UYNV = COLOR_YUV2GRAY_UYVY ,
  cv::COLOR_YUV2GRAY_YVYU = COLOR_YUV2GRAY_YUY2 ,
  cv::COLOR_YUV2GRAY_YUYV = COLOR_YUV2GRAY_YUY2 ,
  cv::COLOR_YUV2GRAY_YUNV = COLOR_YUV2GRAY_YUY2 ,
  cv::COLOR_RGBA2mRGBA = 125 ,
  cv::COLOR_mRGBA2RGBA = 126 ,
  cv::COLOR_RGB2YUV_I420 = 127 ,
  cv::COLOR_BGR2YUV_I420 = 128 ,
  cv::COLOR_RGB2YUV_IYUV = COLOR_RGB2YUV_I420 ,
  cv::COLOR_BGR2YUV_IYUV = COLOR_BGR2YUV_I420 ,
  cv::COLOR_RGBA2YUV_I420 = 129 ,
  cv::COLOR_BGRA2YUV_I420 = 130 ,
  cv::COLOR_RGBA2YUV_IYUV = COLOR_RGBA2YUV_I420 ,
  cv::COLOR_BGRA2YUV_IYUV = COLOR_BGRA2YUV_I420 ,
  cv::COLOR_RGB2YUV_YV12 = 131 ,
  cv::COLOR_BGR2YUV_YV12 = 132 ,
  cv::COLOR_RGBA2YUV_YV12 = 133 ,
  cv::COLOR_BGRA2YUV_YV12 = 134 ,
  cv::COLOR_BayerBG2BGR = 46 ,
  cv::COLOR_BayerGB2BGR = 47 ,
  cv::COLOR_BayerRG2BGR = 48 ,
  cv::COLOR_BayerGR2BGR = 49 ,
  cv::COLOR_BayerRGGB2BGR = COLOR_BayerBG2BGR ,
  cv::COLOR_BayerGRBG2BGR = COLOR_BayerGB2BGR ,
  cv::COLOR_BayerBGGR2BGR = COLOR_BayerRG2BGR ,
  cv::COLOR_BayerGBRG2BGR = COLOR_BayerGR2BGR ,
  cv::COLOR_BayerRGGB2RGB = COLOR_BayerBGGR2BGR ,
  cv::COLOR_BayerGRBG2RGB = COLOR_BayerGBRG2BGR ,
  cv::COLOR_BayerBGGR2RGB = COLOR_BayerRGGB2BGR ,
  cv::COLOR_BayerGBRG2RGB = COLOR_BayerGRBG2BGR ,
  cv::COLOR_BayerBG2RGB = COLOR_BayerRG2BGR ,
  cv::COLOR_BayerGB2RGB = COLOR_BayerGR2BGR ,
  cv::COLOR_BayerRG2RGB = COLOR_BayerBG2BGR ,
  cv::COLOR_BayerGR2RGB = COLOR_BayerGB2BGR ,
  cv::COLOR_BayerBG2GRAY = 86 ,
  cv::COLOR_BayerGB2GRAY = 87 ,
  cv::COLOR_BayerRG2GRAY = 88 ,
  cv::COLOR_BayerGR2GRAY = 89 ,
  cv::COLOR_BayerRGGB2GRAY = COLOR_BayerBG2GRAY ,
  cv::COLOR_BayerGRBG2GRAY = COLOR_BayerGB2GRAY ,
  cv::COLOR_BayerBGGR2GRAY = COLOR_BayerRG2GRAY ,
  cv::COLOR_BayerGBRG2GRAY = COLOR_BayerGR2GRAY ,
  cv::COLOR_BayerBG2BGR_VNG = 62 ,
  cv::COLOR_BayerGB2BGR_VNG = 63 ,
  cv::COLOR_BayerRG2BGR_VNG = 64 ,
  cv::COLOR_BayerGR2BGR_VNG = 65 ,
  cv::COLOR_BayerRGGB2BGR_VNG = COLOR_BayerBG2BGR_VNG ,
  cv::COLOR_BayerGRBG2BGR_VNG = COLOR_BayerGB2BGR_VNG ,
  cv::COLOR_BayerBGGR2BGR_VNG = COLOR_BayerRG2BGR_VNG ,
  cv::COLOR_BayerGBRG2BGR_VNG = COLOR_BayerGR2BGR_VNG ,
  cv::COLOR_BayerRGGB2RGB_VNG = COLOR_BayerBGGR2BGR_VNG ,
  cv::COLOR_BayerGRBG2RGB_VNG = COLOR_BayerGBRG2BGR_VNG ,
  cv::COLOR_BayerBGGR2RGB_VNG = COLOR_BayerRGGB2BGR_VNG ,
  cv::COLOR_BayerGBRG2RGB_VNG = COLOR_BayerGRBG2BGR_VNG ,
  cv::COLOR_BayerBG2RGB_VNG = COLOR_BayerRG2BGR_VNG ,
  cv::COLOR_BayerGB2RGB_VNG = COLOR_BayerGR2BGR_VNG ,
  cv::COLOR_BayerRG2RGB_VNG = COLOR_BayerBG2BGR_VNG ,
  cv::COLOR_BayerGR2RGB_VNG = COLOR_BayerGB2BGR_VNG ,
  cv::COLOR_BayerBG2BGR_EA = 135 ,
  cv::COLOR_BayerGB2BGR_EA = 136 ,
  cv::COLOR_BayerRG2BGR_EA = 137 ,
  cv::COLOR_BayerGR2BGR_EA = 138 ,
  cv::COLOR_BayerRGGB2BGR_EA = COLOR_BayerBG2BGR_EA ,
  cv::COLOR_BayerGRBG2BGR_EA = COLOR_BayerGB2BGR_EA ,
  cv::COLOR_BayerBGGR2BGR_EA = COLOR_BayerRG2BGR_EA ,
  cv::COLOR_BayerGBRG2BGR_EA = COLOR_BayerGR2BGR_EA ,
  cv::COLOR_BayerRGGB2RGB_EA = COLOR_BayerBGGR2BGR_EA ,
  cv::COLOR_BayerGRBG2RGB_EA = COLOR_BayerGBRG2BGR_EA ,
  cv::COLOR_BayerBGGR2RGB_EA = COLOR_BayerRGGB2BGR_EA ,
  cv::COLOR_BayerGBRG2RGB_EA = COLOR_BayerGRBG2BGR_EA ,
  cv::COLOR_BayerBG2RGB_EA = COLOR_BayerRG2BGR_EA ,
  cv::COLOR_BayerGB2RGB_EA = COLOR_BayerGR2BGR_EA ,
  cv::COLOR_BayerRG2RGB_EA = COLOR_BayerBG2BGR_EA ,
  cv::COLOR_BayerGR2RGB_EA = COLOR_BayerGB2BGR_EA ,
  cv::COLOR_BayerBG2BGRA = 139 ,
  cv::COLOR_BayerGB2BGRA = 140 ,
  cv::COLOR_BayerRG2BGRA = 141 ,
  cv::COLOR_BayerGR2BGRA = 142 ,
  cv::COLOR_BayerRGGB2BGRA = COLOR_BayerBG2BGRA ,
  cv::COLOR_BayerGRBG2BGRA = COLOR_BayerGB2BGRA ,
  cv::COLOR_BayerBGGR2BGRA = COLOR_BayerRG2BGRA ,
  cv::COLOR_BayerGBRG2BGRA = COLOR_BayerGR2BGRA ,
  cv::COLOR_BayerRGGB2RGBA = COLOR_BayerBGGR2BGRA ,
  cv::COLOR_BayerGRBG2RGBA = COLOR_BayerGBRG2BGRA ,
  cv::COLOR_BayerBGGR2RGBA = COLOR_BayerRGGB2BGRA ,
  cv::COLOR_BayerGBRG2RGBA = COLOR_BayerGRBG2BGRA ,
  cv::COLOR_BayerBG2RGBA = COLOR_BayerRG2BGRA ,
  cv::COLOR_BayerGB2RGBA = COLOR_BayerGR2BGRA ,
  cv::COLOR_BayerRG2RGBA = COLOR_BayerBG2BGRA ,
  cv::COLOR_BayerGR2RGBA = COLOR_BayerGB2BGRA ,
  cv::COLOR_RGB2YUV_UYVY = 143 ,
  cv::COLOR_BGR2YUV_UYVY = 144 ,
  cv::COLOR_RGB2YUV_Y422 = COLOR_RGB2YUV_UYVY ,
  cv::COLOR_BGR2YUV_Y422 = COLOR_BGR2YUV_UYVY ,
  cv::COLOR_RGB2YUV_UYNV = COLOR_RGB2YUV_UYVY ,
  cv::COLOR_BGR2YUV_UYNV = COLOR_BGR2YUV_UYVY ,
  cv::COLOR_RGBA2YUV_UYVY = 145 ,
  cv::COLOR_BGRA2YUV_UYVY = 146 ,
  cv::COLOR_RGBA2YUV_Y422 = COLOR_RGBA2YUV_UYVY ,
  cv::COLOR_BGRA2YUV_Y422 = COLOR_BGRA2YUV_UYVY ,
  cv::COLOR_RGBA2YUV_UYNV = COLOR_RGBA2YUV_UYVY ,
  cv::COLOR_BGRA2YUV_UYNV = COLOR_BGRA2YUV_UYVY ,
  cv::COLOR_RGB2YUV_YUY2 = 147 ,
  cv::COLOR_BGR2YUV_YUY2 = 148 ,
  cv::COLOR_RGB2YUV_YVYU = 149 ,
  cv::COLOR_BGR2YUV_YVYU = 150 ,
  cv::COLOR_RGB2YUV_YUYV = COLOR_RGB2YUV_YUY2 ,
  cv::COLOR_BGR2YUV_YUYV = COLOR_BGR2YUV_YUY2 ,
  cv::COLOR_RGB2YUV_YUNV = COLOR_RGB2YUV_YUY2 ,
  cv::COLOR_BGR2YUV_YUNV = COLOR_BGR2YUV_YUY2 ,
  cv::COLOR_RGBA2YUV_YUY2 = 151 ,
  cv::COLOR_BGRA2YUV_YUY2 = 152 ,
  cv::COLOR_RGBA2YUV_YVYU = 153 ,
  cv::COLOR_BGRA2YUV_YVYU = 154 ,
  cv::COLOR_RGBA2YUV_YUYV = COLOR_RGBA2YUV_YUY2 ,
  cv::COLOR_BGRA2YUV_YUYV = COLOR_BGRA2YUV_YUY2 ,
  cv::COLOR_RGBA2YUV_YUNV = COLOR_RGBA2YUV_YUY2 ,
  cv::COLOR_BGRA2YUV_YUNV = COLOR_BGRA2YUV_YUY2 ,
  cv::COLOR_COLORCVT_MAX = 155
}
 
enum  cv::ColormapTypes {
  cv::COLORMAP_AUTUMN = 0 ,
  cv::COLORMAP_BONE = 1 ,
  cv::COLORMAP_JET = 2 ,
  cv::COLORMAP_WINTER = 3 ,
  cv::COLORMAP_RAINBOW = 4 ,
  cv::COLORMAP_OCEAN = 5 ,
  cv::COLORMAP_SUMMER = 6 ,
  cv::COLORMAP_SPRING = 7 ,
  cv::COLORMAP_COOL = 8 ,
  cv::COLORMAP_HSV = 9 ,
  cv::COLORMAP_PINK = 10 ,
  cv::COLORMAP_HOT = 11 ,
  cv::COLORMAP_PARULA = 12 ,
  cv::COLORMAP_MAGMA = 13 ,
  cv::COLORMAP_INFERNO = 14 ,
  cv::COLORMAP_PLASMA = 15 ,
  cv::COLORMAP_VIRIDIS = 16 ,
  cv::COLORMAP_CIVIDIS = 17 ,
  cv::COLORMAP_TWILIGHT = 18 ,
  cv::COLORMAP_TWILIGHT_SHIFTED = 19 ,
  cv::COLORMAP_TURBO = 20 ,
  cv::COLORMAP_DEEPGREEN = 21
}
 GNU Octave/MATLAB equivalent colormaps. More...
 
enum  cv::ConnectedComponentsAlgorithmsTypes {
  cv::CCL_DEFAULT = -1 ,
  cv::CCL_WU = 0 ,
  cv::CCL_GRANA = 1 ,
  cv::CCL_BOLELLI = 2 ,
  cv::CCL_SAUF = 3 ,
  cv::CCL_BBDT = 4 ,
  cv::CCL_SPAGHETTI = 5
}
 connected components algorithm More...
 
enum  cv::ConnectedComponentsTypes {
  cv::CC_STAT_LEFT = 0 ,
  cv::CC_STAT_TOP = 1 ,
  cv::CC_STAT_WIDTH = 2 ,
  cv::CC_STAT_HEIGHT = 3 ,
  cv::CC_STAT_AREA = 4
}
 connected components statistics More...
 
enum  cv::ContourApproximationModes {
  cv::CHAIN_APPROX_NONE = 1 ,
  cv::CHAIN_APPROX_SIMPLE = 2 ,
  cv::CHAIN_APPROX_TC89_L1 = 3 ,
  cv::CHAIN_APPROX_TC89_KCOS = 4
}
 the contour approximation algorithm More...
 
enum  cv::DistanceTransformLabelTypes {
  cv::DIST_LABEL_CCOMP = 0 ,
  cv::DIST_LABEL_PIXEL = 1
}
 distanceTransform algorithm flags More...
 
enum  cv::DistanceTransformMasks {
  cv::DIST_MASK_3 = 3 ,
  cv::DIST_MASK_5 = 5 ,
  cv::DIST_MASK_PRECISE = 0
}
 Mask size for distance transform. More...
 
enum  cv::DistanceTypes {
  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::FloodFillFlags {
  cv::FLOODFILL_FIXED_RANGE = 1 << 16 ,
  cv::FLOODFILL_MASK_ONLY = 1 << 17
}
 floodfill algorithm flags More...
 
enum  cv::GrabCutClasses {
  cv::GC_BGD = 0 ,
  cv::GC_FGD = 1 ,
  cv::GC_PR_BGD = 2 ,
  cv::GC_PR_FGD = 3
}
 class of the pixel in GrabCut algorithm More...
 
enum  cv::GrabCutModes {
  cv::GC_INIT_WITH_RECT = 0 ,
  cv::GC_INIT_WITH_MASK = 1 ,
  cv::GC_EVAL = 2 ,
  cv::GC_EVAL_FREEZE_MODEL = 3
}
 GrabCut algorithm flags. More...
 
enum  cv::HersheyFonts {
  cv::FONT_HERSHEY_SIMPLEX = 0 ,
  cv::FONT_HERSHEY_PLAIN = 1 ,
  cv::FONT_HERSHEY_DUPLEX = 2 ,
  cv::FONT_HERSHEY_COMPLEX = 3 ,
  cv::FONT_HERSHEY_TRIPLEX = 4 ,
  cv::FONT_HERSHEY_COMPLEX_SMALL = 5 ,
  cv::FONT_HERSHEY_SCRIPT_SIMPLEX = 6 ,
  cv::FONT_HERSHEY_SCRIPT_COMPLEX = 7 ,
  cv::FONT_ITALIC = 16
}
 
enum  cv::HistCompMethods {
  cv::HISTCMP_CORREL = 0 ,
  cv::HISTCMP_CHISQR = 1 ,
  cv::HISTCMP_INTERSECT = 2 ,
  cv::HISTCMP_BHATTACHARYYA = 3 ,
  cv::HISTCMP_HELLINGER = HISTCMP_BHATTACHARYYA ,
  cv::HISTCMP_CHISQR_ALT = 4 ,
  cv::HISTCMP_KL_DIV = 5
}
 
enum  cv::HoughModes {
  cv::HOUGH_STANDARD = 0 ,
  cv::HOUGH_PROBABILISTIC = 1 ,
  cv::HOUGH_MULTI_SCALE = 2 ,
  cv::HOUGH_GRADIENT = 3 ,
  cv::HOUGH_GRADIENT_ALT = 4
}
 Variants of a Hough transform. More...
 
enum  cv::InterpolationFlags {
  cv::INTER_NEAREST = 0 ,
  cv::INTER_LINEAR = 1 ,
  cv::INTER_CUBIC = 2 ,
  cv::INTER_AREA = 3 ,
  cv::INTER_LANCZOS4 = 4 ,
  cv::INTER_LINEAR_EXACT = 5 ,
  cv::INTER_NEAREST_EXACT = 6 ,
  cv::INTER_MAX = 7 ,
  cv::WARP_FILL_OUTLIERS = 8 ,
  cv::WARP_INVERSE_MAP = 16 ,
  cv::WARP_RELATIVE_MAP = 32
}
 interpolation algorithm More...
 
enum  cv::InterpolationMasks {
  cv::INTER_BITS = 5 ,
  cv::INTER_BITS2 = INTER_BITS * 2 ,
  cv::INTER_TAB_SIZE = 1 << INTER_BITS ,
  cv::INTER_TAB_SIZE2 = INTER_TAB_SIZE * INTER_TAB_SIZE
}
 
enum  cv::LineSegmentDetectorModes {
  cv::LSD_REFINE_NONE = 0 ,
  cv::LSD_REFINE_STD = 1 ,
  cv::LSD_REFINE_ADV = 2
}
 Variants of Line Segment Detector. More...
 
enum  cv::LineTypes {
  cv::FILLED = -1 ,
  cv::LINE_4 = 4 ,
  cv::LINE_8 = 8 ,
  cv::LINE_AA = 16
}
 
enum  cv::MarkerTypes {
  cv::MARKER_CROSS = 0 ,
  cv::MARKER_TILTED_CROSS = 1 ,
  cv::MARKER_STAR = 2 ,
  cv::MARKER_DIAMOND = 3 ,
  cv::MARKER_SQUARE = 4 ,
  cv::MARKER_TRIANGLE_UP = 5 ,
  cv::MARKER_TRIANGLE_DOWN = 6
}
 
enum  cv::MorphShapes {
  cv::MORPH_RECT = 0 ,
  cv::MORPH_CROSS = 1 ,
  cv::MORPH_ELLIPSE = 2
}
 shape of the structuring element More...
 
enum  cv::MorphTypes {
  cv::MORPH_ERODE = 0 ,
  cv::MORPH_DILATE = 1 ,
  cv::MORPH_OPEN = 2 ,
  cv::MORPH_CLOSE = 3 ,
  cv::MORPH_GRADIENT = 4 ,
  cv::MORPH_TOPHAT = 5 ,
  cv::MORPH_BLACKHAT = 6 ,
  cv::MORPH_HITMISS = 7
}
 type of morphological operation More...
 
enum  cv::RectanglesIntersectTypes {
  cv::INTERSECT_NONE = 0 ,
  cv::INTERSECT_PARTIAL = 1 ,
  cv::INTERSECT_FULL = 2
}
 types of intersection between rectangles More...
 
enum  cv::RetrievalModes {
  cv::RETR_EXTERNAL = 0 ,
  cv::RETR_LIST = 1 ,
  cv::RETR_CCOMP = 2 ,
  cv::RETR_TREE = 3 ,
  cv::RETR_FLOODFILL = 4
}
 mode of the contour retrieval algorithm More...
 
enum  cv::ShapeMatchModes {
  cv::CONTOURS_MATCH_I1 =1 ,
  cv::CONTOURS_MATCH_I2 =2 ,
  cv::CONTOURS_MATCH_I3 =3
}
 Shape matching methods. More...
 
enum  cv::SpecialFilter { cv::FILTER_SCHARR = -1 }
 
enum  cv::TemplateMatchModes {
  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
}
 type of the template matching operation More...
 
enum  cv::ThresholdTypes {
  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::WarpPolarMode {
  cv::WARP_POLAR_LINEAR = 0 ,
  cv::WARP_POLAR_LOG = 256
}
 Specify the polar mapping mode. More...
 

Functions

void cv::accumulate (InputArray src, InputOutputArray dst, InputArray mask=noArray())
 Adds an image to the accumulator image.
 
void cv::accumulateProduct (InputArray src1, InputArray src2, InputOutputArray dst, InputArray mask=noArray())
 Adds the per-element product of two input images to the accumulator image.
 
void cv::accumulateSquare (InputArray src, InputOutputArray dst, InputArray mask=noArray())
 Adds the square of a source image to the accumulator image.
 
void cv::accumulateWeighted (InputArray src, InputOutputArray dst, double alpha, InputArray mask=noArray())
 Updates a running average.
 
void cv::adaptiveThreshold (InputArray src, OutputArray dst, double maxValue, int adaptiveMethod, int thresholdType, int blockSize, double C)
 Applies an adaptive threshold to an array.
 
void cv::applyColorMap (InputArray src, OutputArray dst, InputArray userColor)
 Applies a user colormap on a given image.
 
void cv::applyColorMap (InputArray src, OutputArray dst, int colormap)
 Applies a GNU Octave/MATLAB equivalent colormap on a given image.
 
void cv::approxPolyDP (InputArray curve, OutputArray approxCurve, double epsilon, bool closed)
 Approximates a polygonal curve(s) with the specified precision.
 
double cv::arcLength (InputArray curve, bool closed)
 Calculates a contour perimeter or a curve length.
 
void cv::arrowedLine (InputOutputArray 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 segment pointing from the first point to the second one.
 
void cv::bilateralFilter (InputArray src, OutputArray dst, int d, double sigmaColor, double sigmaSpace, int borderType=BORDER_DEFAULT)
 Applies the bilateral filter to an image.
 
void cv::blendLinear (InputArray src1, InputArray src2, InputArray weights1, InputArray weights2, OutputArray dst)
 
void cv::blur (InputArray src, OutputArray dst, Size ksize, Point anchor=Point(-1,-1), int borderType=BORDER_DEFAULT)
 Blurs an image using the normalized box filter.
 
Rect cv::boundingRect (InputArray array)
 Calculates the up-right bounding rectangle of a point set or non-zero pixels of gray-scale image.
 
void cv::boxFilter (InputArray src, OutputArray dst, int ddepth, Size ksize, Point anchor=Point(-1,-1), bool normalize=true, int borderType=BORDER_DEFAULT)
 Blurs an image using the box filter.
 
void cv::boxPoints (RotatedRect box, OutputArray points)
 Finds the four vertices of a rotated rect. Useful to draw the rotated rectangle.
 
void cv::buildPyramid (InputArray src, OutputArrayOfArrays dst, int maxlevel, int borderType=BORDER_DEFAULT)
 Constructs the Gaussian pyramid for an image.
 
void cv::calcBackProject (const Mat *images, int nimages, const int *channels, const SparseMat &hist, OutputArray backProject, const float **ranges, double scale=1, bool uniform=true)
 
void cv::calcBackProject (const Mat *images, int nimages, const int *channels, InputArray hist, OutputArray backProject, const float **ranges, double scale=1, bool uniform=true)
 Calculates the back projection of a histogram.
 
void cv::calcBackProject (InputArrayOfArrays images, const std::vector< int > &channels, InputArray hist, OutputArray dst, const std::vector< float > &ranges, double scale)
 
void cv::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)
 Calculates a histogram of a set of arrays.
 
void cv::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)
 
void cv::calcHist (InputArrayOfArrays images, const std::vector< int > &channels, InputArray mask, OutputArray hist, const std::vector< int > &histSize, const std::vector< float > &ranges, bool accumulate=false)
 
void cv::Canny (InputArray dx, InputArray dy, OutputArray edges, double threshold1, double threshold2, bool L2gradient=false)
 
void cv::Canny (InputArray image, OutputArray edges, double threshold1, double threshold2, int apertureSize=3, bool L2gradient=false)
 Finds edges in an image using the Canny algorithm [48] .
 
void cv::circle (InputOutputArray img, Point center, int radius, const Scalar &color, int thickness=1, int lineType=LINE_8, int shift=0)
 Draws a circle.
 
bool cv::clipLine (Rect imgRect, Point &pt1, Point &pt2)
 
bool cv::clipLine (Size imgSize, Point &pt1, Point &pt2)
 Clips the line against the image rectangle.
 
bool cv::clipLine (Size2l imgSize, Point2l &pt1, Point2l &pt2)
 
double cv::compareHist (const SparseMat &H1, const SparseMat &H2, int method)
 
double cv::compareHist (InputArray H1, InputArray H2, int method)
 Compares two histograms.
 
int cv::connectedComponents (InputArray image, OutputArray labels, int connectivity, int ltype, int ccltype)
 computes the connected components labeled image of boolean image
 
int cv::connectedComponents (InputArray image, OutputArray labels, int connectivity=8, int ltype=CV_32S)
 
int cv::connectedComponentsWithStats (InputArray image, OutputArray labels, OutputArray stats, OutputArray centroids, int connectivity, int ltype, int ccltype)
 computes the connected components labeled image of boolean image and also produces a statistics output for each label
 
int cv::connectedComponentsWithStats (InputArray image, OutputArray labels, OutputArray stats, OutputArray centroids, int connectivity=8, int ltype=CV_32S)
 
double cv::contourArea (InputArray contour, bool oriented=false)
 Calculates a contour area.
 
void cv::convertMaps (InputArray map1, InputArray map2, OutputArray dstmap1, OutputArray dstmap2, int dstmap1type, bool nninterpolation=false)
 Converts image transformation maps from one representation to another.
 
void cv::convexHull (InputArray points, OutputArray hull, bool clockwise=false, bool returnPoints=true)
 Finds the convex hull of a point set.
 
void cv::convexityDefects (InputArray contour, InputArray convexhull, OutputArray convexityDefects)
 Finds the convexity defects of a contour.
 
void cv::cornerEigenValsAndVecs (InputArray src, OutputArray dst, int blockSize, int ksize, int borderType=BORDER_DEFAULT)
 Calculates eigenvalues and eigenvectors of image blocks for corner detection.
 
void cv::cornerHarris (InputArray src, OutputArray dst, int blockSize, int ksize, double k, int borderType=BORDER_DEFAULT)
 Harris corner detector.
 
void cv::cornerMinEigenVal (InputArray src, OutputArray dst, int blockSize, int ksize=3, int borderType=BORDER_DEFAULT)
 Calculates the minimal eigenvalue of gradient matrices for corner detection.
 
void cv::cornerSubPix (InputArray image, InputOutputArray corners, Size winSize, Size zeroZone, TermCriteria criteria)
 Refines the corner locations.
 
Ptr< CLAHEcv::createCLAHE (double clipLimit=40.0, Size tileGridSize=Size(8, 8))
 Creates a smart pointer to a cv::CLAHE class and initializes it.
 
Ptr< GeneralizedHoughBallardcv::createGeneralizedHoughBallard ()
 Creates a smart pointer to a cv::GeneralizedHoughBallard class and initializes it.
 
Ptr< GeneralizedHoughGuilcv::createGeneralizedHoughGuil ()
 Creates a smart pointer to a cv::GeneralizedHoughGuil class and initializes it.
 
void cv::createHanningWindow (OutputArray dst, Size winSize, int type)
 This function computes a Hanning window coefficients in two dimensions.
 
Ptr< LineSegmentDetectorcv::createLineSegmentDetector (int refine=LSD_REFINE_STD, double scale=0.8, double sigma_scale=0.6, double quant=2.0, double ang_th=22.5, double log_eps=0, double density_th=0.7, int n_bins=1024)
 Creates a smart pointer to a LineSegmentDetector object and initializes it.
 
void cv::cvtColor (InputArray src, OutputArray dst, int code, int dstCn=0)
 Converts an image from one color space to another.
 
void cv::cvtColorTwoPlane (InputArray src1, InputArray src2, OutputArray dst, int code)
 Converts an image from one color space to another where the source image is stored in two planes.
 
void cv::demosaicing (InputArray src, OutputArray dst, int code, int dstCn=0)
 main function for all demosaicing processes
 
void cv::dilate (InputArray src, OutputArray dst, InputArray kernel, Point anchor=Point(-1,-1), int iterations=1, int borderType=BORDER_CONSTANT, const Scalar &borderValue=morphologyDefaultBorderValue())
 Dilates an image by using a specific structuring element.
 
void cv::distanceTransform (InputArray src, OutputArray dst, int distanceType, int maskSize, int dstType=CV_32F)
 
void cv::distanceTransform (InputArray src, OutputArray dst, OutputArray labels, int distanceType, int maskSize, int labelType=DIST_LABEL_CCOMP)
 Calculates the distance to the closest zero pixel for each pixel of the source image.
 
void cv::divSpectrums (InputArray a, InputArray b, OutputArray c, int flags, bool conjB=false)
 Performs the per-element division of the first Fourier spectrum by the second Fourier spectrum.
 
void cv::drawContours (InputOutputArray image, InputArrayOfArrays contours, int contourIdx, const Scalar &color, int thickness=1, int lineType=LINE_8, InputArray hierarchy=noArray(), int maxLevel=INT_MAX, Point offset=Point())
 Draws contours outlines or filled contours.
 
void cv::drawMarker (InputOutputArray 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.
 
void cv::ellipse (InputOutputArray img, const RotatedRect &box, const Scalar &color, int thickness=1, int lineType=LINE_8)
 
void cv::ellipse (InputOutputArray img, Point center, Size axes, double angle, double startAngle, double endAngle, const Scalar &color, int thickness=1, int lineType=LINE_8, int shift=0)
 Draws a simple or thick elliptic arc or fills an ellipse sector.
 
void cv::ellipse2Poly (Point center, Size axes, int angle, int arcStart, int arcEnd, int delta, std::vector< Point > &pts)
 Approximates an elliptic arc with a polyline.
 
void cv::ellipse2Poly (Point2d center, Size2d axes, int angle, int arcStart, int arcEnd, int delta, std::vector< Point2d > &pts)
 
float cv::EMD (InputArray signature1, InputArray signature2, int distType, InputArray cost=noArray(), float *lowerBound=0, OutputArray flow=noArray())
 Computes the "minimal work" distance between two weighted point configurations.
 
void cv::equalizeHist (InputArray src, OutputArray dst)
 Equalizes the histogram of a grayscale image.
 
void cv::erode (InputArray src, OutputArray dst, InputArray kernel, Point anchor=Point(-1,-1), int iterations=1, int borderType=BORDER_CONSTANT, const Scalar &borderValue=morphologyDefaultBorderValue())
 Erodes an image by using a specific structuring element.
 
void cv::fillConvexPoly (InputOutputArray img, const Point *pts, int npts, const Scalar &color, int lineType=LINE_8, int shift=0)
 
void cv::fillConvexPoly (InputOutputArray img, InputArray points, const Scalar &color, int lineType=LINE_8, int shift=0)
 Fills a convex polygon.
 
void cv::fillPoly (InputOutputArray img, const Point **pts, const int *npts, int ncontours, const Scalar &color, int lineType=LINE_8, int shift=0, Point offset=Point())
 
void cv::fillPoly (InputOutputArray img, InputArrayOfArrays pts, const Scalar &color, int lineType=LINE_8, int shift=0, Point offset=Point())
 Fills the area bounded by one or more polygons.
 
void cv::filter2D (InputArray src, OutputArray dst, int ddepth, InputArray kernel, Point anchor=Point(-1,-1), double delta=0, int borderType=BORDER_DEFAULT)
 Convolves an image with the kernel.
 
void cv::findContours (InputArray image, OutputArrayOfArrays contours, int mode, int method, Point offset=Point())
 
void cv::findContours (InputArray image, OutputArrayOfArrays contours, OutputArray hierarchy, int mode, int method, Point offset=Point())
 Finds contours in a binary image.
 
void cv::findContoursLinkRuns (InputArray image, OutputArrayOfArrays contours)
 This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.
 
void cv::findContoursLinkRuns (InputArray image, OutputArrayOfArrays contours, OutputArray hierarchy)
 Find contours using link runs algorithm.
 
RotatedRect cv::fitEllipse (InputArray points)
 Fits an ellipse around a set of 2D points.
 
RotatedRect cv::fitEllipseAMS (InputArray points)
 Fits an ellipse around a set of 2D points.
 
RotatedRect cv::fitEllipseDirect (InputArray points)
 Fits an ellipse around a set of 2D points.
 
void cv::fitLine (InputArray points, OutputArray line, int distType, double param, double reps, double aeps)
 Fits a line to a 2D or 3D point set.
 
int cv::floodFill (InputOutputArray image, InputOutputArray mask, Point seedPoint, Scalar newVal, Rect *rect=0, Scalar loDiff=Scalar(), Scalar upDiff=Scalar(), int flags=4)
 Fills a connected component with the given color.
 
int cv::floodFill (InputOutputArray image, Point seedPoint, Scalar newVal, Rect *rect=0, Scalar loDiff=Scalar(), Scalar upDiff=Scalar(), int flags=4)
 
void cv::GaussianBlur (InputArray src, OutputArray dst, Size ksize, double sigmaX, double sigmaY=0, int borderType=BORDER_DEFAULT)
 Blurs an image using a Gaussian filter.
 
Mat cv::getAffineTransform (const Point2f src[], const Point2f dst[])
 Calculates an affine transform from three pairs of the corresponding points.
 
Mat cv::getAffineTransform (InputArray src, InputArray dst)
 
void cv::getDerivKernels (OutputArray kx, OutputArray ky, int dx, int dy, int ksize, bool normalize=false, int ktype=CV_32F)
 Returns filter coefficients for computing spatial image derivatives.
 
double cv::getFontScaleFromHeight (const int fontFace, const int pixelHeight, const int thickness=1)
 Calculates the font-specific size to use to achieve a given height in pixels.
 
Mat cv::getGaborKernel (Size ksize, double sigma, double theta, double lambd, double gamma, double psi=CV_PI *0.5, int ktype=CV_64F)
 Returns Gabor filter coefficients.
 
Mat cv::getGaussianKernel (int ksize, double sigma, int ktype=CV_64F)
 Returns Gaussian filter coefficients.
 
Mat cv::getPerspectiveTransform (const Point2f src[], const Point2f dst[], int solveMethod=DECOMP_LU)
 
Mat cv::getPerspectiveTransform (InputArray src, InputArray dst, int solveMethod=DECOMP_LU)
 Calculates a perspective transform from four pairs of the corresponding points.
 
void cv::getRectSubPix (InputArray image, Size patchSize, Point2f center, OutputArray patch, int patchType=-1)
 Retrieves a pixel rectangle from an image with sub-pixel accuracy.
 
Mat cv::getRotationMatrix2D (Point2f center, double angle, double scale)
 Calculates an affine matrix of 2D rotation.
 
Matx23d cv::getRotationMatrix2D_ (Point2f center, double angle, double scale)
 
Mat cv::getStructuringElement (int shape, Size ksize, Point anchor=Point(-1,-1))
 Returns a structuring element of the specified size and shape for morphological operations.
 
Size cv::getTextSize (const String &text, int fontFace, double fontScale, int thickness, int *baseLine)
 Calculates the width and height of a text string.
 
void cv::goodFeaturesToTrack (InputArray image, OutputArray corners, int maxCorners, double qualityLevel, double minDistance, InputArray mask, int blockSize, int gradientSize, bool useHarrisDetector=false, double k=0.04)
 
void cv::goodFeaturesToTrack (InputArray image, OutputArray corners, int maxCorners, double qualityLevel, double minDistance, InputArray mask, OutputArray cornersQuality, int blockSize=3, int gradientSize=3, bool useHarrisDetector=false, double k=0.04)
 Same as above, but returns also quality measure of the detected corners.
 
void cv::goodFeaturesToTrack (InputArray image, OutputArray corners, int maxCorners, double qualityLevel, double minDistance, InputArray mask=noArray(), int blockSize=3, bool useHarrisDetector=false, double k=0.04)
 Determines strong corners on an image.
 
void cv::grabCut (InputArray img, InputOutputArray mask, Rect rect, InputOutputArray bgdModel, InputOutputArray fgdModel, int iterCount, int mode=GC_EVAL)
 Runs the GrabCut algorithm.
 
void cv::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 a grayscale image using the Hough transform.
 
void cv::HoughLines (InputArray image, OutputArray lines, double rho, double theta, int threshold, double srn=0, double stn=0, double min_theta=0, double max_theta=CV_PI)
 Finds lines in a binary image using the standard Hough transform.
 
void cv::HoughLinesP (InputArray image, OutputArray lines, double rho, double theta, int threshold, double minLineLength=0, double maxLineGap=0)
 Finds line segments in a binary image using the probabilistic Hough transform.
 
void cv::HoughLinesPointSet (InputArray point, OutputArray lines, int lines_max, int threshold, double min_rho, double max_rho, double rho_step, double min_theta, double max_theta, double theta_step)
 Finds lines in a set of points using the standard Hough transform.
 
void cv::HuMoments (const Moments &m, OutputArray hu)
 
void cv::HuMoments (const Moments &moments, double hu[7])
 Calculates seven Hu invariants.
 
void cv::integral (InputArray src, OutputArray sum, int sdepth=-1)
 
void cv::integral (InputArray src, OutputArray sum, OutputArray sqsum, int sdepth=-1, int sqdepth=-1)
 
void cv::integral (InputArray src, OutputArray sum, OutputArray sqsum, OutputArray tilted, int sdepth=-1, int sqdepth=-1)
 Calculates the integral of an image.
 
float cv::intersectConvexConvex (InputArray p1, InputArray p2, OutputArray p12, bool handleNested=true)
 Finds intersection of two convex polygons.
 
void cv::invertAffineTransform (InputArray M, OutputArray iM)
 Inverts an affine transformation.
 
bool cv::isContourConvex (InputArray contour)
 Tests a contour convexity.
 
void cv::Laplacian (InputArray src, OutputArray dst, int ddepth, int ksize=1, double scale=1, double delta=0, int borderType=BORDER_DEFAULT)
 Calculates the Laplacian of an image.
 
void cv::line (InputOutputArray img, Point pt1, Point pt2, const Scalar &color, int thickness=1, int lineType=LINE_8, int shift=0)
 Draws a line segment connecting two points.
 
void cv::linearPolar (InputArray src, OutputArray dst, Point2f center, double maxRadius, int flags)
 Remaps an image to polar coordinates space.
 
void cv::logPolar (InputArray src, OutputArray dst, Point2f center, double M, int flags)
 Remaps an image to semilog-polar coordinates space.
 
double cv::matchShapes (InputArray contour1, InputArray contour2, int method, double parameter)
 Compares two shapes.
 
void cv::matchTemplate (InputArray image, InputArray templ, OutputArray result, int method, InputArray mask=noArray())
 Compares a template against overlapped image regions.
 
void cv::medianBlur (InputArray src, OutputArray dst, int ksize)
 Blurs an image using the median filter.
 
RotatedRect cv::minAreaRect (InputArray points)
 Finds a rotated rectangle of the minimum area enclosing the input 2D point set.
 
void cv::minEnclosingCircle (InputArray points, Point2f &center, float &radius)
 Finds a circle of the minimum area enclosing a 2D point set.
 
double cv::minEnclosingTriangle (InputArray points, OutputArray triangle)
 Finds a triangle of minimum area enclosing a 2D point set and returns its area.
 
Moments cv::moments (InputArray array, bool binaryImage=false)
 Calculates all of the moments up to the third order of a polygon or rasterized shape.
 
static Scalar cv::morphologyDefaultBorderValue ()
 returns "magic" border value for erosion and dilation. It is automatically transformed to Scalar::all(-DBL_MAX) for dilation.
 
void cv::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())
 Performs advanced morphological transformations.
 
Point2d cv::phaseCorrelate (InputArray src1, InputArray src2, InputArray window=noArray(), double *response=0)
 The function is used to detect translational shifts that occur between two images.
 
double cv::pointPolygonTest (InputArray contour, Point2f pt, bool measureDist)
 Performs a point-in-contour test.
 
void cv::polylines (InputOutputArray img, const Point *const *pts, const int *npts, int ncontours, bool isClosed, const Scalar &color, int thickness=1, int lineType=LINE_8, int shift=0)
 
void cv::polylines (InputOutputArray img, InputArrayOfArrays pts, bool isClosed, const Scalar &color, int thickness=1, int lineType=LINE_8, int shift=0)
 Draws several polygonal curves.
 
void cv::preCornerDetect (InputArray src, OutputArray dst, int ksize, int borderType=BORDER_DEFAULT)
 Calculates a feature map for corner detection.
 
void cv::putText (InputOutputArray img, const String &text, Point org, int fontFace, double fontScale, Scalar color, int thickness=1, int lineType=LINE_8, bool bottomLeftOrigin=false)
 Draws a text string.
 
void cv::pyrDown (InputArray src, OutputArray dst, const Size &dstsize=Size(), int borderType=BORDER_DEFAULT)
 Blurs an image and downsamples it.
 
void cv::pyrMeanShiftFiltering (InputArray src, OutputArray dst, double sp, double sr, int maxLevel=1, TermCriteria termcrit=TermCriteria(TermCriteria::MAX_ITER+TermCriteria::EPS, 5, 1))
 Performs initial step of meanshift segmentation of an image.
 
void cv::pyrUp (InputArray src, OutputArray dst, const Size &dstsize=Size(), int borderType=BORDER_DEFAULT)
 Upsamples an image and then blurs it.
 
void cv::rectangle (InputOutputArray img, Point pt1, Point pt2, const Scalar &color, int thickness=1, int lineType=LINE_8, int shift=0)
 Draws a simple, thick, or filled up-right rectangle.
 
void cv::rectangle (InputOutputArray img, Rect rec, const Scalar &color, int thickness=1, int lineType=LINE_8, int shift=0)
 
void cv::remap (InputArray src, OutputArray dst, InputArray map1, InputArray map2, int interpolation, int borderMode=BORDER_CONSTANT, const Scalar &borderValue=Scalar())
 Applies a generic geometrical transformation to an image.
 
void cv::resize (InputArray src, OutputArray dst, Size dsize, double fx=0, double fy=0, int interpolation=INTER_LINEAR)
 Resizes an image.
 
int cv::rotatedRectangleIntersection (const RotatedRect &rect1, const RotatedRect &rect2, OutputArray intersectingRegion)
 Finds out if there is any intersection between two rotated rectangles.
 
void cv::Scharr (InputArray src, OutputArray dst, int ddepth, int dx, int dy, double scale=1, double delta=0, int borderType=BORDER_DEFAULT)
 Calculates the first x- or y- image derivative using Scharr operator.
 
void cv::sepFilter2D (InputArray src, OutputArray dst, int ddepth, InputArray kernelX, InputArray kernelY, Point anchor=Point(-1,-1), double delta=0, int borderType=BORDER_DEFAULT)
 Applies a separable linear filter to an image.
 
void cv::Sobel (InputArray src, OutputArray dst, int ddepth, int dx, int dy, int ksize=3, double scale=1, double delta=0, int borderType=BORDER_DEFAULT)
 Calculates the first, second, third, or mixed image derivatives using an extended Sobel operator.
 
void cv::spatialGradient (InputArray src, OutputArray dx, OutputArray dy, int ksize=3, int borderType=BORDER_DEFAULT)
 Calculates the first order image derivative in both x and y using a Sobel operator.
 
void cv::sqrBoxFilter (InputArray src, OutputArray dst, int ddepth, Size ksize, Point anchor=Point(-1, -1), bool normalize=true, int borderType=BORDER_DEFAULT)
 Calculates the normalized sum of squares of the pixel values overlapping the filter.
 
void cv::stackBlur (InputArray src, OutputArray dst, Size ksize)
 Blurs an image using the stackBlur.
 
double cv::threshold (InputArray src, OutputArray dst, double thresh, double maxval, int type)
 Applies a fixed-level threshold to each array element.
 
void cv::warpAffine (InputArray src, OutputArray dst, InputArray M, Size dsize, int flags=INTER_LINEAR, int borderMode=BORDER_CONSTANT, const Scalar &borderValue=Scalar())
 Applies an affine transformation to an image.
 
void cv::warpPerspective (InputArray src, OutputArray dst, InputArray M, Size dsize, int flags=INTER_LINEAR, int borderMode=BORDER_CONSTANT, const Scalar &borderValue=Scalar())
 Applies a perspective transformation to an image.
 
void cv::warpPolar (InputArray src, OutputArray dst, Size dsize, Point2f center, double maxRadius, int flags)
 Remaps an image to polar or semilog-polar coordinates space.
 
void cv::watershed (InputArray image, InputOutputArray markers)
 Performs a marker-based image segmentation using the watershed algorithm.
 
float cv::wrapperEMD (InputArray signature1, InputArray signature2, int distType, InputArray cost=noArray(), Ptr< float > lowerBound=Ptr< float >(), OutputArray flow=noArray())