#include "opencv2/core.hpp"
#include "./imgproc/segmentation.hpp"

imgproc.hpp 的包含依賴關係圖

該圖顯示了哪些檔案直接或間接地包含了此檔案

類
類	cv::CLAHE
	限制對比度自適應直方圖均衡化（Contrast Limited Adaptive Histogram Equalization）的基類。更多...

類	cv::GeneralizedHough
	使用廣義霍夫變換（Generalized Hough Transform）在灰度影像中查詢任意模板。更多...

類	cv::GeneralizedHoughBallard
	使用廣義霍夫變換在灰度影像中查詢任意模板。更多...

類	cv::GeneralizedHoughGuil
	使用廣義霍夫變換在灰度影像中查詢任意模板。更多...

類	cv::LineIterator
	用於迭代光柵直線段上所有畫素的類。更多...

類	cv::LineSegmentDetector
	直線段檢測器類。更多...

結構體	cv::Subdiv2D::QuadEdge

類	cv::Subdiv2D

結構體	cv::Subdiv2D::Vertex

名稱空間
名稱空間	cv

宏
#define	CV_RGB(r, g, b)

列舉
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 }
	等同於 GNU Octave/MATLAB 的顏色對映表。更多...

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 }
	連通域標記演算法更多...

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 }
	連通域統計資訊更多...

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 }
	輪廓逼近演算法更多...

enum	cv::DistanceTransformLabelTypes { cv::DIST_LABEL_CCOMP = 0 , cv::DIST_LABEL_PIXEL = 1 }
	距離變換演算法標誌位更多...

enum	cv::DistanceTransformMasks { cv::DIST_MASK_3 = 3 , cv::DIST_MASK_5 = 5 , cv::DIST_MASK_PRECISE = 0 }
	距離變換的掩碼大小。更多...

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 }
	漫水填充演算法標誌位更多...

enum	cv::GrabCutClasses { cv::GC_BGD = 0 , cv::GC_FGD = 1 , cv::GC_PR_BGD = 2 , cv::GC_PR_FGD = 3 }
	GrabCut 演算法中的畫素類別更多...

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 演算法標誌位。更多...

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 }
	霍夫變換的變體。更多...

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 }
	插值演算法更多...

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 }
	直線段檢測器的變體。更多...

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 , cv::MORPH_DIAMOND = 3 }
	結構元素的形狀更多...

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 }
	形態學操作型別更多...

enum	cv::RectanglesIntersectTypes { cv::INTERSECT_NONE = 0 , cv::INTERSECT_PARTIAL = 1 , cv::INTERSECT_FULL = 2 }
	矩形之間的相交型別更多...

enum	cv::RetrievalModes { cv::RETR_EXTERNAL = 0 , cv::RETR_LIST = 1 , cv::RETR_CCOMP = 2 , cv::RETR_TREE = 3 , cv::RETR_FLOODFILL = 4 }
	輪廓檢索演算法的模式更多...

enum	cv::ShapeMatchModes { cv::CONTOURS_MATCH_I1 =1 , cv::CONTOURS_MATCH_I2 =2 , cv::CONTOURS_MATCH_I3 =3 }
	形狀匹配方法。更多...

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 }
	模板匹配操作型別更多...

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 , cv::THRESH_DRYRUN = 128 }

enum	cv::WarpPolarMode { cv::WARP_POLAR_LINEAR = 0 , cv::WARP_POLAR_LOG = 256 }
	指定極座標對映模式。更多...

函式
void	cv::accumulate (InputArray src, InputOutputArray dst, InputArray mask=noArray())
	將影像新增到累加器影像中。

void	cv::accumulateProduct (InputArray src1, InputArray src2, InputOutputArray dst, InputArray mask=noArray())
	將兩個輸入影像的逐元素乘積新增到累加器影像中。

void	cv::accumulateSquare (InputArray src, InputOutputArray dst, InputArray mask=noArray())
	將源影像的平方新增到累加器影像中。

void	cv::accumulateWeighted (InputArray src, InputOutputArray dst, double alpha, InputArray mask=noArray())
	更新執行平均值。

void	cv::adaptiveThreshold (InputArray src, OutputArray dst, double maxValue, int adaptiveMethod, int thresholdType, int blockSize, double C)
	對陣列應用自適應閾值。

void	cv::applyColorMap (InputArray src, OutputArray dst, InputArray userColor)
	在給定影像上應用使用者自定義的顏色對映表。

void	cv::applyColorMap (InputArray src, OutputArray dst, int colormap)
	在給定影像上應用等同於 GNU Octave/MATLAB 的顏色對映表。

void	cv::approxPolyDP (InputArray curve, OutputArray approxCurve, double epsilon, bool closed)
	以指定的精度逼近多邊形曲線。

void	cv::approxPolyN (InputArray curve, OutputArray approxCurve, int nsides, float epsilon_percentage=-1.0, bool ensure_convex=true)
	以指定的精度和邊數逼近凸包多邊形。

double	cv::arcLength (InputArray curve, bool closed)
	計算輪廓周長或曲線長度。

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)
	繪製一個從第一個點指向第二個點的箭頭線段。

void	cv::bilateralFilter (InputArray src, OutputArray dst, int d, double sigmaColor, double sigmaSpace, int borderType=BORDER_DEFAULT)
	對影像應用雙邊濾波。

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)
	使用歸一化框式濾波（normalized box filter）模糊影像。

Rect	cv::boundingRect (InputArray array)
	計算點集或灰度影像中非零畫素的正外接矩形。

void	cv::boxFilter (InputArray src, OutputArray dst, int ddepth, Size ksize, Point anchor=Point(-1,-1), bool normalize=true, int borderType=BORDER_DEFAULT)
	使用框式濾波模糊影像。

void	cv::boxPoints (RotatedRect box, OutputArray points)
	查詢旋轉矩形的四個頂點。常用於繪製旋轉矩形。

void	cv::buildPyramid (InputArray src, OutputArrayOfArrays dst, int maxlevel, int borderType=BORDER_DEFAULT)
	構建影像的高斯金字塔。

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)
	計算直方圖的反向投影。

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)
	計算一組陣列的直方圖。

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)
	使用 Canny 演算法查詢影像中的邊緣 [50]。

void	cv::circle (InputOutputArray img, Point center, int radius, const Scalar &color, int thickness=1, int lineType=LINE_8, int shift=0)
	繪製一個圓。

bool	cv::clipLine (Rect imgRect, Point &pt1, Point &pt2)

bool	cv::clipLine (Size imgSize, Point &pt1, Point &pt2)
	根據影像矩形裁剪直線。

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)
	比較兩個直方圖。

int	cv::connectedComponents (InputArray image, OutputArray labels, int connectivity, int ltype, int ccltype)
	計算二值影像的連通域標記影像

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)
	計算二值影像的連通域標記影像，並輸出每個標記的統計資訊

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)
	計算輪廓面積。

void	cv::convertMaps (InputArray map1, InputArray map2, OutputArray dstmap1, OutputArray dstmap2, int dstmap1type, bool nninterpolation=false)
	將影像變換對映從一種表示形式轉換為另一種。

void	cv::convexHull (InputArray points, OutputArray hull, bool clockwise=false, bool returnPoints=true)
	查詢點集的凸包。

void	cv::convexityDefects (InputArray contour, InputArray convexhull, OutputArray convexityDefects)
	查詢輪廓的凸性缺陷。

void	cv::cornerEigenValsAndVecs (InputArray src, OutputArray dst, int blockSize, int ksize, int borderType=BORDER_DEFAULT)
	計算用於角點檢測的影像塊的特徵值和特徵向量。

void	cv::cornerHarris (InputArray src, OutputArray dst, int blockSize, int ksize, double k, int borderType=BORDER_DEFAULT)
	Harris 角點檢測器。

void	cv::cornerMinEigenVal (InputArray src, OutputArray dst, int blockSize, int ksize=3, int borderType=BORDER_DEFAULT)
	計算用於角點檢測的梯度矩陣的最小特徵值。

void	cv::cornerSubPix (InputArray image, InputOutputArray corners, Size winSize, Size zeroZone, TermCriteria criteria)
	最佳化角點位置（亞畫素精度）。

Ptr< CLAHE >	cv::createCLAHE (double clipLimit=40.0, Size tileGridSize=Size(8, 8))
	建立一個指向 cv::CLAHE 類的智慧指標並初始化。

Ptr< GeneralizedHoughBallard >	cv::createGeneralizedHoughBallard ()
	建立一個指向 cv::GeneralizedHoughBallard 類的智慧指標並初始化。

Ptr< GeneralizedHoughGuil >	cv::createGeneralizedHoughGuil ()
	建立一個指向 cv::GeneralizedHoughGuil 類的智慧指標並初始化。

void	cv::createHanningWindow (OutputArray dst, Size winSize, int type)
	該函式計算二維 Hanning 窗係數。

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)
	建立一個指向 LineSegmentDetector 物件的智慧指標並初始化。

void	cv::cvtColor (InputArray src, OutputArray dst, int code, int dstCn=0, AlgorithmHint hint=cv::ALGO_HINT_DEFAULT)
	將影像從一種顏色空間轉換為另一種。

void	cv::cvtColorTwoPlane (InputArray src1, InputArray src2, OutputArray dst, int code, AlgorithmHint hint=cv::ALGO_HINT_DEFAULT)
	將影像從一種顏色空間轉換為另一種，源影像儲存在兩個平面（planes）中。

void	cv::demosaicing (InputArray src, OutputArray dst, int code, int dstCn=0)
	所有去馬賽克（demosaicing）處理的主函式

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())
	使用特定的結構元素膨脹影像。

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)
	計算源影像中每個畫素到最近零畫素的距離。

void	cv::divSpectrums (InputArray a, InputArray b, OutputArray c, int flags, bool conjB=false)
	執行第一個傅立葉頻譜與第二個傅立葉頻譜的逐元素除法。

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())
	繪製輪廓外框或填充輪廓。

void	cv::drawMarker (InputOutputArray img, Point position, const Scalar &color, int markerType=MARKER_CROSS, int markerSize=20, int thickness=1, int line_type=8)
	在影像預定義位置繪製標記。

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)
	繪製簡單或加厚的橢圓弧，或填充橢圓扇區。

void	cv::ellipse2Poly (Point center, Size axes, int angle, int arcStart, int arcEnd, int delta, std::vector< Point > &pts)
	用折線逼近橢圓弧。

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())
	計算兩個加權點配置之間的“最小工作量”距離（Earth Mover's Distance）。

void	cv::equalizeHist (InputArray src, OutputArray dst)
	對灰度影像進行直方圖均衡化。

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())
	使用特定的結構元素腐蝕影像。

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)
	填充凸多邊形。

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())
	填充一個或多個多邊形包圍的區域。

void	cv::filter2D (InputArray src, OutputArray dst, int ddepth, InputArray kernel, Point anchor=Point(-1,-1), double delta=0, int borderType=BORDER_DEFAULT)
	將影像與卷積核進行卷積。

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())
	在二值影像中查詢輪廓。

void	cv::findContoursLinkRuns (InputArray image, OutputArrayOfArrays contours)
	這是一個過載的成員函式，為方便起見而提供。它與上述函式的區別僅在於所接受的引數不同。

void	cv::findContoursLinkRuns (InputArray image, OutputArrayOfArrays contours, OutputArray hierarchy)
	使用 link runs 演算法查詢輪廓。

RotatedRect	cv::fitEllipse (InputArray points)
	圍繞一組二維點擬合橢圓。

RotatedRect	cv::fitEllipseAMS (InputArray points)
	圍繞一組二維點擬合橢圓。

RotatedRect	cv::fitEllipseDirect (InputArray points)
	圍繞一組二維點擬合橢圓。

void	cv::fitLine (InputArray points, OutputArray line, int distType, double param, double reps, double aeps)
	對二維或三維點集進行直線擬合。

int	cv::floodFill (InputOutputArray image, InputOutputArray mask, Point seedPoint, Scalar newVal, Rect *rect=0, Scalar loDiff=Scalar(), Scalar upDiff=Scalar(), int flags=4)
	使用給定顏色填充連通域。

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, AlgorithmHint hint=cv::ALGO_HINT_DEFAULT)
	使用高斯濾波器模糊影像。

Mat	cv::getAffineTransform (const Point2f src[], const Point2f dst[])
	透過三對對應點計算仿射變換矩陣。

Mat	cv::getAffineTransform (InputArray src, InputArray dst)

void	cv::getClosestEllipsePoints (const RotatedRect &ellipse_params, InputArray points, OutputArray closest_pts)
	為每個二維點計算其在給定橢圓上最近的二維點。

void	cv::getDerivKernels (OutputArray kx, OutputArray ky, int dx, int dy, int ksize, bool normalize=false, int ktype=CV_32F)
	返回用於計算影像空間導數的濾波器係數。

double	cv::getFontScaleFromHeight (const int fontFace, const int pixelHeight, const int thickness=1)
	計算為達到給定畫素高度所需的特定字型縮放比例。

Mat	cv::getGaborKernel (Size ksize, double sigma, double theta, double lambd, double gamma, double psi=CV_PI *0.5, int ktype=CV_64F)
	返回 Gabor 濾波器係數。

Mat	cv::getGaussianKernel (int ksize, double sigma, int ktype=CV_64F)
	返回高斯濾波器係數。

Mat	cv::getPerspectiveTransform (const Point2f src[], const Point2f dst[], int solveMethod=DECOMP_LU)

Mat	cv::getPerspectiveTransform (InputArray src, InputArray dst, int solveMethod=DECOMP_LU)
	透過四對對應點計算透視變換矩陣。

void	cv::getRectSubPix (InputArray image, Size patchSize, Point2f center, OutputArray patch, int patchType=-1)
	以亞畫素精度從影像中提取畫素矩形。

Mat	cv::getRotationMatrix2D (Point2f center, double angle, double scale)
	計算二維旋轉的仿射矩陣。

Matx23d	cv::getRotationMatrix2D_ (Point2f center, double angle, double scale)

Mat	cv::getStructuringElement (int shape, Size ksize, Point anchor=Point(-1,-1))
	返回用於形態學操作的指定大小和形狀的結構元素。

Size	cv::getTextSize (const String &text, int fontFace, double fontScale, int thickness, int *baseLine)
	計算文字字串的寬度和高度。

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)
	與上述相同，但同時返回檢測到的角點的質量度量。

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)
	在影像上確定強角點。

void	cv::grabCut (InputArray img, InputOutputArray mask, Rect rect, InputOutputArray bgdModel, InputOutputArray fgdModel, int iterCount, int mode=GC_EVAL)
	執行 GrabCut 演算法。

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)
	使用霍夫變換在灰度影像中查詢圓。

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, bool use_edgeval=false)
	使用標準霍夫變換在二值影像中查詢直線。

void	cv::HoughLinesP (InputArray image, OutputArray lines, double rho, double theta, int threshold, double minLineLength=0, double maxLineGap=0)
	使用機率霍夫變換在二值影像中查詢線段。

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)
	使用標準霍夫變換在點集中查詢直線。

void	cv::HuMoments (const Moments &m, OutputArray hu)

void	cv::HuMoments (const Moments &moments, double hu[7])
	計算七個 Hu 不變數。

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)
	計算影像的積分圖。

float	cv::intersectConvexConvex (InputArray p1, InputArray p2, OutputArray p12, bool handleNested=true)
	查詢兩個凸多邊形的交集。

void	cv::invertAffineTransform (InputArray M, OutputArray iM)
	計算仿射變換的逆變換。

bool	cv::isContourConvex (InputArray contour)
	測試輪廓的凸性。

void	cv::Laplacian (InputArray src, OutputArray dst, int ddepth, int ksize=1, double scale=1, double delta=0, int borderType=BORDER_DEFAULT)
	計算影像的拉普拉斯運算元。

void	cv::line (InputOutputArray img, Point pt1, Point pt2, const Scalar &color, int thickness=1, int lineType=LINE_8, int shift=0)
	繪製連線兩個點的線段。

void	cv::linearPolar (InputArray src, OutputArray dst, Point2f center, double maxRadius, int flags)
	將影像重對映到極座標空間。

void	cv::logPolar (InputArray src, OutputArray dst, Point2f center, double M, int flags)
	將影像重對映到對數極座標空間。

double	cv::matchShapes (InputArray contour1, InputArray contour2, int method, double parameter)
	比較兩個形狀。

void	cv::matchTemplate (InputArray image, InputArray templ, OutputArray result, int method, InputArray mask=noArray())
	在重疊的影像區域中匹配模板。

void	cv::medianBlur (InputArray src, OutputArray dst, int ksize)
	使用中值濾波器模糊影像。

RotatedRect	cv::minAreaRect (InputArray points)
	查詢包圍輸入二維點集的最小面積旋轉矩形。

void	cv::minEnclosingCircle (InputArray points, Point2f &center, float &radius)
	查詢包圍二維點集的最小面積圓。

double	cv::minEnclosingConvexPolygon (InputArray points, OutputArray polygon, int k)
	查詢包圍二維點集的最小面積凸多邊形並返回其面積。

double	cv::minEnclosingTriangle (InputArray points, OutputArray triangle)
	查詢包圍二維點集的最小面積三角形並返回其面積。

Moments	cv::moments (InputArray array, bool binaryImage=false)
	計算多邊形或光柵化形狀的所有三階以內矩。

static Scalar	cv::morphologyDefaultBorderValue ()
	返回腐蝕和膨脹的“魔術”邊界值。在膨脹操作中，它會自動轉換為 Scalar::all(-DBL_MAX)。

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())
	執行高階形態學變換。

Point2d	cv::phaseCorrelate (InputArray src1, InputArray src2, noArray(), double *response=0)
	該函式用於檢測兩幅影像之間發生的平移偏差。

Point2d	cv::phaseCorrelateIterative (InputArray src1, InputArray src2, int L2size=7, int maxIters=10)
	迭代地檢測兩幅影像之間的平移偏差。

double	cv::pointPolygonTest (InputArray contour, Point2f pt, bool measureDist)
	執行點與輪廓的位置關係測試。

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)
	繪製多條多邊形曲線。

void	cv::preCornerDetect (InputArray src, OutputArray dst, int ksize, int borderType=BORDER_DEFAULT)
	計算用於角點檢測的特徵圖。

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)
	繪製文字字串。

void	cv::pyrDown (InputArray src, OutputArray dst, const Size &dstsize=Size(), int borderType=BORDER_DEFAULT)
	模糊並下采樣影像。

void	cv::pyrMeanShiftFiltering (InputArray src, OutputArray dst, double sp, double sr, int maxLevel=1, TermCriteria termcrit=TermCriteria(TermCriteria::MAX_ITER+TermCriteria::EPS, 5, 1))
	執行影像均值漂移分割的初始步驟。

void	cv::pyrUp (InputArray src, OutputArray dst, const Size &dstsize=Size(), int borderType=BORDER_DEFAULT)
	上取樣並模糊影像。

void	cv::rectangle (InputOutputArray img, Point pt1, Point pt2, const Scalar &color, int thickness=1, int lineType=LINE_8, int shift=0)
	繪製一個簡單的、粗線條的或填充的正矩形。

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())
	對影像應用通用的幾何變換。

void	cv::resize (InputArray src, OutputArray dst, Size dsize, double fx=0, double fy=0, int interpolation=INTER_LINEAR)
	調整影像大小。

int	cv::rotatedRectangleIntersection (const RotatedRect &rect1, const RotatedRect &rect2, OutputArray intersectingRegion)
	查詢兩個旋轉矩形之間是否存在交集。

void	cv::Scharr (InputArray src, OutputArray dst, int ddepth, int dx, int dy, double scale=1, double delta=0, int borderType=BORDER_DEFAULT)
	使用 Scharr 運算元計算影像的一階 x 或 y 導數。

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)
	對影像應用可分離線性濾波器。

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)
	使用擴充套件 Sobel 運算元計算影像的一階、二階、三階或混合導數。

void	cv::spatialGradient (InputArray src, OutputArray dx, OutputArray dy, int ksize=3, int borderType=BORDER_DEFAULT)
	使用 Sobel 運算元同時計算 x 和 y 方向的一階影像導數。

void	cv::sqrBoxFilter (InputArray src, OutputArray dst, int ddepth, Size ksize, Point anchor=Point(-1, -1), bool normalize=true, int borderType=BORDER_DEFAULT)
	計算與濾波器重疊的畫素值的歸一化平方和。

void	cv::stackBlur (InputArray src, OutputArray dst, Size ksize)
	使用 stackBlur 模糊影像。

double	cv::threshold (InputArray src, OutputArray dst, double thresh, double maxval, int type)
	對陣列的每個元素應用固定閾值操作。

double	cv::thresholdWithMask (InputArray src, InputOutputArray dst, InputArray mask, double thresh, double maxval, int type)
	與 threshold 相同，但帶有一個可選掩碼。

void	cv::warpAffine (InputArray src, OutputArray dst, InputArray M, Size dsize, int flags=INTER_LINEAR, int borderMode=BORDER_CONSTANT, const Scalar &borderValue=Scalar())
	對影像應用仿射變換。

void	cv::warpPerspective (InputArray src, OutputArray dst, InputArray M, Size dsize, int flags=INTER_LINEAR, int borderMode=BORDER_CONSTANT, const Scalar &borderValue=Scalar())
	對影像應用透視變換。

void	cv::warpPolar (InputArray src, OutputArray dst, Size dsize, Point2f center, double maxRadius, int flags)
	將影像重對映到極座標或對數極座標空間。

void	cv::watershed (InputArray image, InputOutputArray markers)
	使用分水嶺演算法執行基於標記的影像分割。

float	cv::wrapperEMD (InputArray signature1, InputArray signature2, int distType, InputArray cost=noArray(), Ptr< float > lowerBound=Ptr< float >(), OutputArray flow=noArray())

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