#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< CLAHE >	cv::createCLAHE (double clipLimit=40.0, Size tileGridSize=Size(8, 8))
	Creates a smart pointer to a cv::CLAHE class and initializes it.

Ptr< GeneralizedHoughBallard >	cv::createGeneralizedHoughBallard ()
	Creates a smart pointer to a cv::GeneralizedHoughBallard class and initializes it.

Ptr< GeneralizedHoughGuil >	cv::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< LineSegmentDetector >	cv::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())

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