OpenCV
4.0.0
Open Source Computer Vision
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#include "opencv2/imgproc.hpp"
#include <utility>
#include "opencv2/gapi/gkernel.hpp"
#include "opencv2/gapi/gmat.hpp"
#include "opencv2/gapi/gscalar.hpp"
Namespaces | |
cv | |
"black box" representation of the file storage associated with a file on disk. | |
cv::gapi | |
cv::gapi::imgproc | |
Typedefs | |
using | cv::gapi::imgproc::GMat3 = std::tuple< GMat, GMat, GMat > |
Functions | |
GMat | cv::gapi::BGR2Gray (const GMat &src) |
Converts an image from BGR color space to gray-scaled. The conventional ranges for B, G, and R channel values are 0 to 255. Resulting gray color value computed as \[\texttt{dst} (I)= \texttt{0.114} * \texttt{src}(I).B + \texttt{0.587} * \texttt{src}(I).G + \texttt{0.299} * \texttt{src}(I).R \] . More... | |
GMat | cv::gapi::BGR2LUV (const GMat &src) |
Converts an image from BGR color space to LUV color space. More... | |
GMat | cv::gapi::BGR2YUV (const GMat &src) |
Converts an image from BGR color space to YUV color space. More... | |
GMat | cv::gapi::blur (const GMat &src, const Size &ksize, const Point &anchor=Point(-1,-1), int borderType=BORDER_DEFAULT, const Scalar &borderValue=Scalar(0)) |
Blurs an image using the normalized box filter. More... | |
GMat | cv::gapi::boxFilter (const GMat &src, int dtype, const Size &ksize, const Point &anchor=Point(-1,-1), bool normalize=true, int borderType=BORDER_DEFAULT, const Scalar &borderValue=Scalar(0)) |
Blurs an image using the box filter. More... | |
GMat | cv::gapi::Canny (const GMat &image, double threshold1, double threshold2, int apertureSize=3, bool L2gradient=false) |
Finds edges in an image using the Canny algorithm. More... | |
GMat | cv::gapi::dilate (const GMat &src, const Mat &kernel, const 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. More... | |
GMat | cv::gapi::dilate3x3 (const GMat &src, int iterations=1, int borderType=BORDER_CONSTANT, const Scalar &borderValue=morphologyDefaultBorderValue()) |
Dilates an image by using 3 by 3 rectangular structuring element. More... | |
GMat | cv::gapi::equalizeHist (const GMat &src) |
Equalizes the histogram of a grayscale image. More... | |
GMat | cv::gapi::erode (const GMat &src, const Mat &kernel, const 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. More... | |
GMat | cv::gapi::erode3x3 (const GMat &src, int iterations=1, int borderType=BORDER_CONSTANT, const Scalar &borderValue=morphologyDefaultBorderValue()) |
Erodes an image by using 3 by 3 rectangular structuring element. More... | |
GMat | cv::gapi::filter2D (const GMat &src, int ddepth, const Mat &kernel, const Point &anchor=Point(-1,-1), const Scalar &delta=Scalar(0), int borderType=BORDER_DEFAULT, const Scalar &borderValue=Scalar(0)) |
Convolves an image with the kernel. More... | |
cv::gapi::imgproc::G_TYPED_KERNEL (GFilter2D,< GMat(GMat, int, Mat, Point, Scalar, int, Scalar)>,"org.opencv.imgproc.filters.filter2D") | |
cv::gapi::imgproc::G_TYPED_KERNEL (GSepFilter,< GMat(GMat, int, Mat, Mat, Point, Scalar, int, Scalar)>, "org.opencv.imgproc.filters.sepfilter") | |
cv::gapi::imgproc::G_TYPED_KERNEL (GBoxFilter,< GMat(GMat, int, Size, Point, bool, int, Scalar)>, "org.opencv.imgproc.filters.boxfilter") | |
cv::gapi::imgproc::G_TYPED_KERNEL (GBlur,< GMat(GMat, Size, Point, int, Scalar)>, "org.opencv.imgproc.filters.blur") | |
cv::gapi::imgproc::G_TYPED_KERNEL (GGaussBlur,< GMat(GMat, Size, double, double, int, Scalar)>, "org.opencv.imgproc.filters.gaussianBlur") | |
cv::gapi::imgproc::G_TYPED_KERNEL (GMedianBlur,< GMat(GMat, int)>, "org.opencv.imgproc.filters.medianBlur") | |
cv::gapi::imgproc::G_TYPED_KERNEL (GErode,< GMat(GMat, Mat, Point, int, int, Scalar)>, "org.opencv.imgproc.filters.erode") | |
cv::gapi::imgproc::G_TYPED_KERNEL (GDilate,< GMat(GMat, Mat, Point, int, int, Scalar)>, "org.opencv.imgproc.filters.dilate") | |
cv::gapi::imgproc::G_TYPED_KERNEL (GSobel,< GMat(GMat, int, int, int, int, double, double, int, Scalar)>, "org.opencv.imgproc.filters.sobel") | |
cv::gapi::imgproc::G_TYPED_KERNEL (GEqHist,< GMat(GMat)>, "org.opencv.imgproc.equalizeHist") | |
cv::gapi::imgproc::G_TYPED_KERNEL (GCanny,< GMat(GMat, double, double, int, bool)>, "org.opencv.imgproc.canny") | |
cv::gapi::imgproc::G_TYPED_KERNEL (GRGB2YUV,< GMat(GMat)>, "org.opencv.imgproc.colorconvert.rgb2yuv") | |
cv::gapi::imgproc::G_TYPED_KERNEL (GYUV2RGB,< GMat(GMat)>, "org.opencv.imgproc.colorconvert.yuv2rgb") | |
cv::gapi::imgproc::G_TYPED_KERNEL (GRGB2Lab,< GMat(GMat)>, "org.opencv.imgproc.colorconvert.rgb2lab") | |
cv::gapi::imgproc::G_TYPED_KERNEL (GBGR2LUV,< GMat(GMat)>, "org.opencv.imgproc.colorconvert.bgr2luv") | |
cv::gapi::imgproc::G_TYPED_KERNEL (GLUV2BGR,< GMat(GMat)>, "org.opencv.imgproc.colorconvert.luv2bgr") | |
cv::gapi::imgproc::G_TYPED_KERNEL (GYUV2BGR,< GMat(GMat)>, "org.opencv.imgproc.colorconvert.yuv2bgr") | |
cv::gapi::imgproc::G_TYPED_KERNEL (GBGR2YUV,< GMat(GMat)>, "org.opencv.imgproc.colorconvert.bgr2yuv") | |
cv::gapi::imgproc::G_TYPED_KERNEL (GRGB2Gray,< GMat(GMat)>, "org.opencv.imgproc.colorconvert.rgb2gray") | |
cv::gapi::imgproc::G_TYPED_KERNEL (GRGB2GrayCustom,< GMat(GMat, float, float, float)>, "org.opencv.imgproc.colorconvert.rgb2graycustom") | |
cv::gapi::imgproc::G_TYPED_KERNEL (GBGR2Gray,< GMat(GMat)>, "org.opencv.imgproc.colorconvert.bgr2gray") | |
GMat | cv::gapi::gaussianBlur (const GMat &src, const Size &ksize, double sigmaX, double sigmaY=0, int borderType=BORDER_DEFAULT, const Scalar &borderValue=Scalar(0)) |
Blurs an image using a Gaussian filter. More... | |
GMat | cv::gapi::LUV2BGR (const GMat &src) |
Converts an image from LUV color space to BGR color space. More... | |
GMat | cv::gapi::medianBlur (const GMat &src, int ksize) |
Blurs an image using the median filter. More... | |
GMat | cv::gapi::RGB2Gray (const GMat &src) |
Converts an image from RGB color space to gray-scaled. The conventional ranges for R, G, and B channel values are 0 to 255. Resulting gray color value computed as \[\texttt{dst} (I)= \texttt{0.299} * \texttt{src}(I).R + \texttt{0.587} * \texttt{src}(I).G + \texttt{0.114} * \texttt{src}(I).B \] . More... | |
GMat | cv::gapi::RGB2Gray (const GMat &src, float rY, float gY, float bY) |
GMat | cv::gapi::RGB2Lab (const GMat &src) |
Converts an image from RGB color space to Lab color space. More... | |
GMat | cv::gapi::RGB2YUV (const GMat &src) |
Converts an image from RGB color space to YUV color space. More... | |
GMat | cv::gapi::sepFilter (const GMat &src, int ddepth, const Mat &kernelX, const Mat &kernelY, const Point &anchor, const Scalar &delta, int borderType=BORDER_DEFAULT, const Scalar &borderValue=Scalar(0)) |
Applies a separable linear filter to a matrix(image). More... | |
GMat | cv::gapi::Sobel (const GMat &src, int ddepth, int dx, int dy, int ksize=3, double scale=1, double delta=0, int borderType=BORDER_DEFAULT, const Scalar &borderValue=Scalar(0)) |
Calculates the first, second, third, or mixed image derivatives using an extended Sobel operator. More... | |
GMat | cv::gapi::YUV2BGR (const GMat &src) |
Converts an image from YUV color space to BGR color space. More... | |
GMat | cv::gapi::YUV2RGB (const GMat &src) |
Converts an image from YUV color space to RGB. The function converts an input image from YUV color space to RGB. The conventional ranges for Y, U, and V channel values are 0 to 255. More... | |