| OpenCV 5.0.0alpha Open Source Computer Vision

Loading...
Searching...
No Matches
Classes | Namespaces | Enumerations | Functions
cudaimgproc.hpp File Reference
`#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::CornernessCriteria
| Base class for Cornerness Criteria computation. : More...
class | cv::cuda::CornersDetector
| Base class for Corners Detector. : 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::AlphaCompTypes { cv::cuda::ALPHA_OVER , cv::cuda::ALPHA_IN , cv::cuda::ALPHA_OUT , cv::cuda::ALPHA_ATOP , cv::cuda::ALPHA_XOR , cv::cuda::ALPHA_PLUS , cv::cuda::ALPHA_OVER_PREMUL , cv::cuda::ALPHA_IN_PREMUL , cv::cuda::ALPHA_OUT_PREMUL , cv::cuda::ALPHA_ATOP_PREMUL , cv::cuda::ALPHA_XOR_PREMUL , cv::cuda::ALPHA_PLUS_PREMUL , cv::cuda::ALPHA_PREMUL }
enum | cv::cuda::ConnectedComponentsAlgorithmsTypes { cv::cuda::CCL_DEFAULT = -1 , cv::cuda::CCL_BKE = 0 }
| Connected Components Algorithm. More...
enum | cv::cuda::DemosaicTypes { cv::cuda::COLOR_BayerBG2BGR_MHT = 256 , cv::cuda::COLOR_BayerGB2BGR_MHT = 257 , cv::cuda::COLOR_BayerRG2BGR_MHT = 258 , cv::cuda::COLOR_BayerGR2BGR_MHT = 259 , cv::cuda::COLOR_BayerBG2RGB_MHT = COLOR_BayerRG2BGR_MHT , cv::cuda::COLOR_BayerGB2RGB_MHT = COLOR_BayerGR2BGR_MHT , cv::cuda::COLOR_BayerRG2RGB_MHT = COLOR_BayerBG2BGR_MHT , cv::cuda::COLOR_BayerGR2RGB_MHT = COLOR_BayerGB2BGR_MHT , cv::cuda::COLOR_BayerBG2GRAY_MHT = 260 , cv::cuda::COLOR_BayerGB2GRAY_MHT = 261 , cv::cuda::COLOR_BayerRG2GRAY_MHT = 262 , cv::cuda::COLOR_BayerGR2GRAY_MHT = 263 }
enum | cv::cuda::MomentsOrder { cv::cuda::FIRST_ORDER_MOMENTS = 1 , cv::cuda::SECOND_ORDER_MOMENTS = 2 , cv::cuda::THIRD_ORDER_MOMENTS = 3 }
| Order of image moments. More...

## Functions
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::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::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.
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)
Moments | cv::cuda::convertSpatialMoments (Mat spatialMoments, const MomentsOrder order, const int momentsType)
| Converts the spatial image moments returned from cuda::spatialMoments to cv::Moments.
Ptr< CannyEdgeDetector > | cv::cuda::createCannyEdgeDetector (double low_thresh, double high_thresh, int apperture_size=3, bool L2gradient=false)
| Creates implementation for cuda::CannyEdgeDetector .
Ptr< cuda::CLAHE > | cv::cuda::createCLAHE (double clipLimit=40.0, Size tileGridSize=Size(8, 8))
| Creates implementation for cuda::CLAHE .
Ptr< GeneralizedHoughBallard > | cv::cuda::createGeneralizedHoughBallard ()
| Creates implementation for generalized hough transform from [15] .
Ptr< GeneralizedHoughGuil > | cv::cuda::createGeneralizedHoughGuil ()
| Creates implementation for generalized hough transform from [115] .
Ptr< CornersDetector > | cv::cuda::createGoodFeaturesToTrackDetector (int srcType, int maxCorners=1000, double qualityLevel=0.01, double minDistance=0.0, int blockSize=3, bool useHarrisDetector=false, double harrisK=0.04)
| Creates implementation for cuda::CornersDetector .
Ptr< CornernessCriteria > | cv::cuda::createHarrisCorner (int srcType, int blockSize, int ksize, double k, int borderType=BORDER_REFLECT101)
| Creates implementation for Harris cornerness criteria.
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 .
Ptr< CornernessCriteria > | cv::cuda::createMinEigenValCorner (int srcType, int blockSize, int ksize, int borderType=BORDER_REFLECT101)
| Creates implementation for the minimum eigen value of a 2x2 derivative covariation matrix (the cornerness criteria).
Ptr< TemplateMatching > | cv::cuda::createTemplateMatching (int srcType, int method, Size user_block_size=Size())
| Creates implementation for cuda::TemplateMatching .
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::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::gammaCorrection (InputArray src, OutputArray dst, bool forward=true, Stream &stream=Stream::Null())
| Routines for correcting image color gamma.
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::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.
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.
void | cv::cuda::swapChannels (InputOutputArray image, const int dstOrder[4], Stream &stream=Stream::Null())
| Exchanges the color channels of an image in-place.