opencv2/cudaimgproc.hpp

#include <opencv2/core/cuda.hpp>
#include <opencv2/imgproc.hpp>

Include dependency graph for cudaimgproc.hpp:

Classes

class cv::cuda::CannyEdgeDetector

Base class for Canny Edge Detector. : More…

class cv::cuda::CLAHE

Base class for Contrast Limited Adaptive Histogram Equalization. : More…

class cv::cuda::HoughCirclesDetector

Base class for circles detector algorithm. : More…

class cv::cuda::HoughLinesDetector

Base class for lines detector algorithm. : More…

class cv::cuda::HoughSegmentDetector

Base class for line segments detector algorithm. : More…

class cv::cuda::TemplateMatching

Base class for Template Matching. : More…

Namespaces

namespace cv

namespace cv::cuda

Enumerations

enum cv::cuda::MomentsOrder {
FIRST_ORDER_MOMENTS = 1,
SECOND_ORDER_MOMENTS = 2,
THIRD_ORDER_MOMENTS = 3
}

Order of image moments. More…

enum cv::cuda::ConnectedComponentsAlgorithmsTypes {
CCL_DEFAULT = -1,
CCL_BKE = 0
}

Connected Components Algorithm. More…

enum cv::cuda::AlphaCompTypes {
ALPHA_OVER,
ALPHA_IN,
ALPHA_OUT,
ALPHA_ATOP,
ALPHA_XOR,
ALPHA_PLUS,
ALPHA_OVER_PREMUL,
ALPHA_IN_PREMUL,
ALPHA_OUT_PREMUL,
ALPHA_ATOP_PREMUL,
ALPHA_XOR_PREMUL,
ALPHA_PLUS_PREMUL,
ALPHA_PREMUL
}

enum cv::cuda::DemosaicTypes {
COLOR_BayerBG2BGR_MHT = 256,
COLOR_BayerGB2BGR_MHT = 257,
COLOR_BayerRG2BGR_MHT = 258,
COLOR_BayerGR2BGR_MHT = 259,
COLOR_BayerBG2RGB_MHT = COLOR_BayerRG2BGR_MHT,
COLOR_BayerGB2RGB_MHT = COLOR_BayerGR2BGR_MHT,
COLOR_BayerRG2RGB_MHT = COLOR_BayerBG2BGR_MHT,
COLOR_BayerGR2RGB_MHT = COLOR_BayerGB2BGR_MHT,
COLOR_BayerBG2GRAY_MHT = 260,
COLOR_BayerGB2GRAY_MHT = 261,
COLOR_BayerRG2GRAY_MHT = 262,
COLOR_BayerGR2GRAY_MHT = 263
}

Functions

Moments cv::cuda::convertSpatialMoments (Mat spatialMoments, const MomentsOrder order, const int momentsType)

Converts the spatial image moments returned from cuda::spatialMoments to cv::Moments.

Moments cv::cuda::moments (InputArray src, const bool binaryImage=false, const MomentsOrder order=MomentsOrder::THIRD_ORDER_MOMENTS, const int momentsType=CV_64F)

Calculates all of the moments up to the 3rd order of a rasterized shape.

int cv::cuda::numMoments (const MomentsOrder order)

Returns the number of image moments less than or equal to the largest image moments order.

void cv::cuda::spatialMoments (InputArray src, OutputArray moments, const bool binaryImage=false, const MomentsOrder order=MomentsOrder::THIRD_ORDER_MOMENTS, const int momentsType=CV_64F, Stream &stream=Stream::Null())

Calculates all of the spatial moments up to the 3rd order of a rasterized shape.

Ptr< GeneralizedHoughBallard > cv::cuda::createGeneralizedHoughBallard ()

Creates implementation for generalized hough transform from [18] .

Ptr< GeneralizedHoughGuil > cv::cuda::createGeneralizedHoughGuil ()

Creates implementation for generalized hough transform from [127] .

Ptr< HoughCirclesDetector > cv::cuda::createHoughCirclesDetector (float dp, float minDist, int cannyThreshold, int votesThreshold, int minRadius, int maxRadius, int maxCircles=4096)

Creates implementation for cuda::HoughCirclesDetector .

Ptr< HoughLinesDetector > cv::cuda::createHoughLinesDetector (float rho, float theta, int threshold, bool doSort=false, int maxLines=4096)

Creates implementation for cuda::HoughLinesDetector .

Ptr< HoughSegmentDetector > cv::cuda::createHoughSegmentDetector (float rho, float theta, int minLineLength, int maxLineGap, int maxLines=4096, int threshold=-1)

Creates implementation for cuda::HoughSegmentDetector .

void cv::cuda::calcHist (InputArray src, InputArray mask, OutputArray hist, Stream &stream=Stream::Null())

Calculates histogram for one channel 8-bit image confined in given mask.

void cv::cuda::calcHist (InputArray src, OutputArray hist, Stream &stream=Stream::Null())

Calculates histogram for one channel 8-bit image.

Ptr< cuda::CLAHE > cv::cuda::createCLAHE (double clipLimit=40.0, Size tileGridSize=Size(8, 8))

Creates implementation for cuda::CLAHE .

void cv::cuda::equalizeHist (InputArray src, OutputArray dst, Stream &stream=Stream::Null())

Equalizes the histogram of a grayscale image.

void cv::cuda::evenLevels (OutputArray levels, int nLevels, int lowerLevel, int upperLevel, Stream &stream=Stream::Null())

Computes levels with even distribution.

void cv::cuda::histEven (InputArray src, GpuMat hist[4], int histSize[4], int lowerLevel[4], int upperLevel[4], Stream &stream=Stream::Null())

void cv::cuda::histEven (InputArray src, OutputArray hist, int histSize, int lowerLevel, int upperLevel, Stream &stream=Stream::Null())

Calculates a histogram with evenly distributed bins.

void cv::cuda::histRange (InputArray src, GpuMat hist[4], const GpuMat levels[4], Stream &stream=Stream::Null())

void cv::cuda::histRange (InputArray src, OutputArray hist, InputArray levels, Stream &stream=Stream::Null())

Calculates a histogram with bins determined by the levels array.

void cv::cuda::bilateralFilter (InputArray src, OutputArray dst, int kernel_size, float sigma_color, float sigma_spatial, int borderMode=BORDER_DEFAULT, Stream &stream=Stream::Null())

Performs bilateral filtering of passed image.

void cv::cuda::blendLinear (InputArray img1, InputArray img2, InputArray weights1, InputArray weights2, OutputArray result, Stream &stream=Stream::Null())

Performs linear blending of two images.

void cv::cuda::connectedComponents (InputArray image, OutputArray labels, int connectivity, int ltype, cv::cuda::ConnectedComponentsAlgorithmsTypes ccltype)

Computes the Connected Components Labeled image of a binary image.

void cv::cuda::connectedComponents (InputArray image, OutputArray labels, int connectivity=8, int ltype=CV_32S)

Ptr< CannyEdgeDetector > cv::cuda::createCannyEdgeDetector (double low_thresh, double high_thresh, int apperture_size=3, bool L2gradient=false)

Creates implementation for cuda::CannyEdgeDetector .

Ptr< TemplateMatching > cv::cuda::createTemplateMatching (int srcType, int method, Size user_block_size=Size())

Creates implementation for cuda::TemplateMatching .

void cv::cuda::meanShiftFiltering (InputArray src, OutputArray dst, int sp, int sr, TermCriteria criteria=TermCriteria(TermCriteria::MAX_ITER+TermCriteria::EPS, 5, 1), Stream &stream=Stream::Null())

Performs mean-shift filtering for each point of the source image.

void cv::cuda::meanShiftProc (InputArray src, OutputArray dstr, OutputArray dstsp, int sp, int sr, TermCriteria criteria=TermCriteria(TermCriteria::MAX_ITER+TermCriteria::EPS, 5, 1), Stream &stream=Stream::Null())

Performs a mean-shift procedure and stores information about processed points (their colors and positions) in two images.

void cv::cuda::meanShiftSegmentation (InputArray src, OutputArray dst, int sp, int sr, int minsize, TermCriteria criteria=TermCriteria(TermCriteria::MAX_ITER+TermCriteria::EPS, 5, 1), Stream &stream=Stream::Null())

Performs a mean-shift segmentation of the source image and eliminates small segments.

void cv::cuda::alphaComp (InputArray img1, InputArray img2, OutputArray dst, int alpha_op, Stream &stream=Stream::Null())

Composites two images using alpha opacity values contained in each image.

void cv::cuda::cvtColor (InputArray src, OutputArray dst, int code, int dcn=0, Stream &stream=Stream::Null())

Converts an image from one color space to another.

void cv::cuda::demosaicing (InputArray src, OutputArray dst, int code, int dcn=-1, Stream &stream=Stream::Null())

Converts an image from Bayer pattern to RGB or grayscale.

void cv::cuda::gammaCorrection (InputArray src, OutputArray dst, bool forward=true, Stream &stream=Stream::Null())

Routines for correcting image color gamma.

void cv::cuda::swapChannels (InputOutputArray image, const int dstOrder[4], Stream &stream=Stream::Null())

Exchanges the color channels of an image in-place.