Histogram Calculation

Detailed Description

Classes
class	cv::cuda::CLAHE
	Base class for Contrast Limited Adaptive Histogram Equalization. : More...

Functions
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.

Function Documentation

calcHist() [1/2]

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

#include <opencv2/cudaimgproc.hpp>

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

Parameters

src	Source image with CV_8UC1 type.
hist	Destination histogram with one row, 256 columns, and the CV_32SC1 type.
mask	A mask image same size as src and of type CV_8UC1.
stream	Stream for the asynchronous version.

calcHist() [2/2]

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

#include <opencv2/cudaimgproc.hpp>

Calculates histogram for one channel 8-bit image.

Parameters

src	Source image with CV_8UC1 type.
hist	Destination histogram with one row, 256 columns, and the CV_32SC1 type.
stream	Stream for the asynchronous version.

createCLAHE()

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

#include <opencv2/cudaimgproc.hpp>

Creates implementation for cuda::CLAHE .

Parameters

clipLimit	Threshold for contrast limiting.
tileGridSize	Size of grid for histogram equalization. Input image will be divided into equally sized rectangular tiles. tileGridSize defines the number of tiles in row and column.

equalizeHist()

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

#include <opencv2/cudaimgproc.hpp>

Equalizes the histogram of a grayscale image.

Parameters

src	Source image with CV_8UC1 type.
dst	Destination image.
stream	Stream for the asynchronous version.

See also

equalizeHist

evenLevels()

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

#include <opencv2/cudaimgproc.hpp>

Computes levels with even distribution.

Parameters

levels	Destination array. levels has 1 row, nLevels columns, and the CV_32SC1 type.
nLevels	Number of computed levels. nLevels must be at least 2.
lowerLevel	Lower boundary value of the lowest level.
upperLevel	Upper boundary value of the greatest level.
stream	Stream for the asynchronous version.

histEven() [1/2]

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

#include <opencv2/cudaimgproc.hpp>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

histEven() [2/2]

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

#include <opencv2/cudaimgproc.hpp>

Calculates a histogram with evenly distributed bins.

Parameters

src	Source image. CV_8U, CV_16U, or CV_16S depth and 1 or 4 channels are supported. For a four-channel image, all channels are processed separately.
hist	Destination histogram with one row, histSize columns, and the CV_32S type.
histSize	Size of the histogram.
lowerLevel	Lower boundary of lowest-level bin.
upperLevel	Upper boundary of highest-level bin.
stream	Stream for the asynchronous version.

histRange() [1/2]

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

#include <opencv2/cudaimgproc.hpp>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts.

histRange() [2/2]

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

#include <opencv2/cudaimgproc.hpp>

Calculates a histogram with bins determined by the levels array.

Parameters

src	Source image. CV_8U , CV_16U , or CV_16S depth and 1 or 4 channels are supported. For a four-channel image, all channels are processed separately.
hist	Destination histogram with one row, (levels.cols-1) columns, and the CV_32SC1 type.
levels	Number of levels in the histogram.
stream	Stream for the asynchronous version.