Detailed Description

Functions
void	cv::cuda::abs (InputArray src, OutputArray dst, Stream &stream=Stream::Null())
	Computes an absolute value of each matrix element.

void	cv::cuda::absdiff (InputArray src1, InputArray src2, OutputArray dst, Stream &stream=Stream::Null())
	Computes per-element absolute difference of two matrices (or of a matrix and scalar).

void	cv::cuda::absdiffWithScalar (InputArray src1, Scalar src2, OutputArray dst, Stream &stream=Stream::Null())
	Computes per-element absolute difference of a matrix and scalar.

void	cv::cuda::add (InputArray src1, InputArray src2, OutputArray dst, InputArray mask=noArray(), int dtype=-1, Stream &stream=Stream::Null())
	Computes a matrix-matrix or matrix-scalar sum.

void	cv::cuda::addWeighted (InputArray src1, double alpha, InputArray src2, double beta, double gamma, OutputArray dst, int dtype=-1, Stream &stream=Stream::Null())
	Computes the weighted sum of two arrays.

void	cv::cuda::addWithScalar (InputArray src1, Scalar src2, OutputArray dst, InputArray mask=noArray(), int dtype=-1, Stream &stream=Stream::Null())
	Computes a matrix-scalar sum.

void	cv::cuda::bitwise_and (InputArray src1, InputArray src2, OutputArray dst, InputArray mask=noArray(), Stream &stream=Stream::Null())
	Performs a per-element bitwise conjunction of two matrices (or of matrix and scalar).

void	cv::cuda::bitwise_and_with_scalar (InputArray src1, Scalar src2, OutputArray dst, InputArray mask=noArray(), Stream &stream=Stream::Null())
	Performs a per-element bitwise conjunction of a matrix and a scalar.

void	cv::cuda::bitwise_not (InputArray src, OutputArray dst, InputArray mask=noArray(), Stream &stream=Stream::Null())
	Performs a per-element bitwise inversion.

void	cv::cuda::bitwise_or (InputArray src1, InputArray src2, OutputArray dst, InputArray mask=noArray(), Stream &stream=Stream::Null())
	Performs a per-element bitwise disjunction of two matrices (or of matrix and scalar).

void	cv::cuda::bitwise_or_with_scalar (InputArray src1, Scalar src2, OutputArray dst, InputArray mask=noArray(), Stream &stream=Stream::Null())
	Performs a per-element bitwise disjunction of a matrix and scalar.

void	cv::cuda::bitwise_xor (InputArray src1, InputArray src2, OutputArray dst, InputArray mask=noArray(), Stream &stream=Stream::Null())
	Performs a per-element bitwise exclusive or operation of two matrices (or of matrix and scalar).

void	cv::cuda::bitwise_xor_with_scalar (InputArray src1, Scalar src2, OutputArray dst, InputArray mask=noArray(), Stream &stream=Stream::Null())
	Performs a per-element bitwise exclusive or operation of a matrix and a scalar.

void	cv::cuda::cartToPolar (InputArray x, InputArray y, OutputArray magnitude, OutputArray angle, bool angleInDegrees=false, Stream &stream=Stream::Null())
	Converts Cartesian coordinates into polar.

void	cv::cuda::cartToPolar (InputArray xy, OutputArray magnitude, OutputArray angle, bool angleInDegrees=false, Stream &stream=Stream::Null())
	Converts Cartesian coordinates into polar.

void	cv::cuda::cartToPolar (InputArray xy, OutputArray magnitudeAngle, bool angleInDegrees=false, Stream &stream=Stream::Null())
	Converts Cartesian coordinates into polar.

void	cv::cuda::compare (InputArray src1, InputArray src2, OutputArray dst, int cmpop, Stream &stream=Stream::Null())
	Compares elements of two matrices (or of a matrix and scalar).

void	cv::cuda::compareWithScalar (InputArray src1, Scalar src2, OutputArray dst, int cmpop, Stream &stream=Stream::Null())
	Compares elements of a matrix and scalar.

void	cv::cuda::divide (InputArray src1, InputArray src2, OutputArray dst, double scale=1, int dtype=-1, Stream &stream=Stream::Null())
	Computes a matrix-matrix or matrix-scalar division.

void	cv::cuda::divideWithScalar (InputArray src1, Scalar src2, OutputArray dst, double scale=1, int dtype=-1, Stream &stream=Stream::Null())
	Computes a matrix-scalar division.

void	cv::cuda::exp (InputArray src, OutputArray dst, Stream &stream=Stream::Null())
	Computes an exponent of each matrix element.

void	cv::cuda::inRange (InputArray src, const Scalar &lowerb, const Scalar &upperb, OutputArray dst, Stream &stream=Stream::Null())
	Checks if array elements lie between two scalars.

void	cv::cuda::log (InputArray src, OutputArray dst, Stream &stream=Stream::Null())
	Computes a natural logarithm of absolute value of each matrix element.

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

void	cv::cuda::lshift (InputArray src, Scalar_< int > val, OutputArray dst, Stream &stream=Stream::Null())
	Performs pixel by pixel right left of an image by a constant value.

void	cv::cuda::magnitude (InputArray x, InputArray y, OutputArray magnitude, Stream &stream=Stream::Null())

void	cv::cuda::magnitude (InputArray xy, OutputArray magnitude, Stream &stream=Stream::Null())
	Computes magnitudes of complex matrix elements.

void	cv::cuda::magnitudeSqr (InputArray x, InputArray y, OutputArray magnitude, Stream &stream=Stream::Null())

void	cv::cuda::magnitudeSqr (InputArray xy, OutputArray magnitude, Stream &stream=Stream::Null())
	Computes squared magnitudes of complex matrix elements.

void	cv::cuda::max (InputArray src1, InputArray src2, OutputArray dst, Stream &stream=Stream::Null())
	Computes the per-element maximum of two matrices (or a matrix and a scalar).

void	cv::cuda::maxWithScalar (InputArray src1, Scalar src2, OutputArray dst, Stream &stream=Stream::Null())
	Computes the per-element maximum of a matrix and a scalar.

void	cv::cuda::min (InputArray src1, InputArray src2, OutputArray dst, Stream &stream=Stream::Null())
	Computes the per-element minimum of two matrices (or a matrix and a scalar).

void	cv::cuda::minWithScalar (InputArray src1, Scalar src2, OutputArray dst, Stream &stream=Stream::Null())
	Computes the per-element minimum or a matrix and a scalar.

void	cv::cuda::multiply (InputArray src1, InputArray src2, OutputArray dst, double scale=1, int dtype=-1, Stream &stream=Stream::Null())
	Computes a matrix-matrix or matrix-scalar per-element product.

void	cv::cuda::multiplyWithScalar (InputArray src1, Scalar src2, OutputArray dst, double scale=1, int dtype=-1, Stream &stream=Stream::Null())
	Computes a matrix-scalar per-element product.

void	cv::cuda::phase (InputArray x, InputArray y, OutputArray angle, bool angleInDegrees=false, Stream &stream=Stream::Null())
	Computes polar angles of complex matrix elements.

void	cv::cuda::phase (InputArray xy, OutputArray angle, bool angleInDegrees=false, Stream &stream=Stream::Null())
	Computes polar angles of complex matrix elements.

void	cv::cuda::polarToCart (InputArray magnitude, InputArray angle, OutputArray x, OutputArray y, bool angleInDegrees=false, Stream &stream=Stream::Null())
	Converts polar coordinates into Cartesian.

void	cv::cuda::polarToCart (InputArray magnitude, InputArray angle, OutputArray xy, bool angleInDegrees=false, Stream &stream=Stream::Null())
	Converts polar coordinates into Cartesian.

void	cv::cuda::polarToCart (InputArray magnitudeAngle, OutputArray xy, bool angleInDegrees=false, Stream &stream=Stream::Null())
	Converts polar coordinates into Cartesian.

void	cv::cuda::pow (InputArray src, double power, OutputArray dst, Stream &stream=Stream::Null())
	Raises every matrix element to a power.

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

void	cv::cuda::rshift (InputArray src, Scalar_< int > val, OutputArray dst, Stream &stream=Stream::Null())
	Performs pixel by pixel right shift of an image by a constant value.

static void	cv::cuda::scaleAdd (InputArray src1, double alpha, InputArray src2, OutputArray dst, Stream &stream=Stream::Null())
	adds scaled array to another one (dst = alpha*src1 + src2)

void	cv::cuda::sqr (InputArray src, OutputArray dst, Stream &stream=Stream::Null())
	Computes a square value of each matrix element.

void	cv::cuda::sqrt (InputArray src, OutputArray dst, Stream &stream=Stream::Null())
	Computes a square root of each matrix element.

void	cv::cuda::subtract (InputArray src1, InputArray src2, OutputArray dst, InputArray mask=noArray(), int dtype=-1, Stream &stream=Stream::Null())
	Computes a matrix-matrix or matrix-scalar difference.

void	cv::cuda::subtractWithScalar (InputArray src1, Scalar src2, OutputArray dst, InputArray mask=noArray(), int dtype=-1, Stream &stream=Stream::Null())
	Computes matrix-scalar difference.

double	cv::cuda::threshold (InputArray src, OutputArray dst, double thresh, double maxval, int type, Stream &stream=Stream::Null())
	Applies a fixed-level threshold to each array element.

Function Documentation

◆ abs()

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

#include <opencv2/cudaarithm.hpp>

Computes an absolute value of each matrix element.

Parameters

src	Source matrix.
dst	Destination matrix with the same size and type as src .
stream	Stream for the asynchronous version.

See also: abs

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◆ absdiff()

void cv::cuda::absdiff	(	InputArray	src1,
		InputArray	src2,
		OutputArray	dst,
		Stream &	stream = `Stream::Null()`
	)

#include <opencv2/cudaarithm.hpp>

Computes per-element absolute difference of two matrices (or of a matrix and scalar).

Parameters

src1	First source matrix or scalar.
src2	Second source matrix or scalar.
dst	Destination matrix that has the same size and type as the input array(s).
stream	Stream for the asynchronous version.

Warning: In python both src1 and src2 have to be matrices, see absdiffWithScalar for scalar overload.

See also: cv::absdiff, absdiffWithScalar

◆ absdiffWithScalar()

void cv::cuda::absdiffWithScalar	(	InputArray	src1,
		Scalar	src2,
		OutputArray	dst,
		Stream &	stream = `Stream::Null()`
	)

inline

#include <opencv2/cudaarithm.hpp>

Computes per-element absolute difference of a matrix and scalar.

Parameters

src1	First source matrix.
src2	Second source scalar.
dst	Destination matrix that has the same size and type as the input array.
stream	Stream for the asynchronous version.

See also: absdiff

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◆ add()

void cv::cuda::add	(	InputArray	src1,
		InputArray	src2,
		OutputArray	dst,
		InputArray	mask = `noArray()`,
		int	dtype = `-1`,
		Stream &	stream = `Stream::Null()`
	)

#include <opencv2/cudaarithm.hpp>

Computes a matrix-matrix or matrix-scalar sum.

Parameters

src1	First source matrix or scalar.
src2	Second source matrix or scalar. Matrix should have the same size and type as src1 .
dst	Destination matrix that has the same size and number of channels as the input array(s). The depth is defined by dtype or `src1` depth.
mask	Optional operation mask, 8-bit single channel array, that specifies elements of the destination array to be changed. The mask can be used only with single channel images.
dtype	Optional depth of the output array.
stream	Stream for the asynchronous version.

Warning: In python both src1 and src2 have to be matrices, see addWithScalar for scalar overload.

See also: cv::add, addWithScalar

◆ addWeighted()

void cv::cuda::addWeighted	(	InputArray	src1,
		double	alpha,
		InputArray	src2,
		double	beta,
		double	gamma,
		OutputArray	dst,
		int	dtype = `-1`,
		Stream &	stream = `Stream::Null()`
	)

#include <opencv2/cudaarithm.hpp>

Computes the weighted sum of two arrays.

Parameters

src1	First source array.
alpha	Weight for the first array elements.
src2	Second source array of the same size and channel number as src1 .
beta	Weight for the second array elements.
dst	Destination array that has the same size and number of channels as the input arrays.
gamma	Scalar added to each sum.
dtype	Optional depth of the destination array. When both input arrays have the same depth, dtype can be set to -1, which will be equivalent to src1.depth().
stream	Stream for the asynchronous version.

The function addWeighted calculates the weighted sum of two arrays as follows:

\[\texttt{dst} (I)= \texttt{saturate} ( \texttt{src1} (I)* \texttt{alpha} + \texttt{src2} (I)* \texttt{beta} + \texttt{gamma} )\]

where I is a multi-dimensional index of array elements. In case of multi-channel arrays, each channel is processed independently.

See also: addWeighted

◆ addWithScalar()

void cv::cuda::addWithScalar	(	InputArray	src1,
		Scalar	src2,
		OutputArray	dst,
		InputArray	mask = `noArray()`,
		int	dtype = `-1`,
		Stream &	stream = `Stream::Null()`
	)

inline

#include <opencv2/cudaarithm.hpp>

Computes a matrix-scalar sum.

Parameters

src1	First source matrix.
src2	Second source scalar.
dst	Destination matrix that has the same size and number of channels as the input array. The depth is defined by dtype or `src1` depth.
mask	Optional operation mask, 8-bit single channel array, that specifies elements of the destination array to be changed. The mask can be used only with single channel images.
dtype	Optional depth of the output array.
stream	Stream for the asynchronous version.

See also: add

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◆ bitwise_and()

void cv::cuda::bitwise_and	(	InputArray	src1,
		InputArray	src2,
		OutputArray	dst,
		InputArray	mask = `noArray()`,
		Stream &	stream = `Stream::Null()`
	)

#include <opencv2/cudaarithm.hpp>

Performs a per-element bitwise conjunction of two matrices (or of matrix and scalar).

Parameters

src1	First source matrix or scalar.
src2	Second source matrix or scalar.
dst	Destination matrix that has the same size and type as the input array(s).
mask	Optional operation mask, 8-bit single channel array, that specifies elements of the destination array to be changed. The mask can be used only with single channel images.
stream	Stream for the asynchronous version.

Warning: In python both src1 and src2 have to be matrices, see bitwise_and_with_scalar for scalar overload.

See also: bitwise_and_with_scalar

◆ bitwise_and_with_scalar()

void cv::cuda::bitwise_and_with_scalar	(	InputArray	src1,
		Scalar	src2,
		OutputArray	dst,
		InputArray	mask = `noArray()`,
		Stream &	stream = `Stream::Null()`
	)

inline

#include <opencv2/cudaarithm.hpp>

Performs a per-element bitwise conjunction of a matrix and a scalar.

Parameters

src1	First source matrix.
src2	Second source scalar.
dst	Destination matrix that has the same size and type as the input array.
mask	Optional operation mask, 8-bit single channel array, that specifies elements of the destination array to be changed. The mask can be used only with single channel images.
stream	Stream for the asynchronous version.

See also: bitwise_and

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◆ bitwise_not()

void cv::cuda::bitwise_not	(	InputArray	src,
		OutputArray	dst,
		InputArray	mask = `noArray()`,
		Stream &	stream = `Stream::Null()`
	)

#include <opencv2/cudaarithm.hpp>

Performs a per-element bitwise inversion.

Parameters

src	Source matrix.
dst	Destination matrix with the same size and type as src .
mask	Optional operation mask, 8-bit single channel array, that specifies elements of the destination array to be changed. The mask can be used only with single channel images.
stream	Stream for the asynchronous version.

◆ bitwise_or()

void cv::cuda::bitwise_or	(	InputArray	src1,
		InputArray	src2,
		OutputArray	dst,
		InputArray	mask = `noArray()`,
		Stream &	stream = `Stream::Null()`
	)

#include <opencv2/cudaarithm.hpp>

Performs a per-element bitwise disjunction of two matrices (or of matrix and scalar).

Parameters

src1	First source matrix or scalar.
src2	Second source matrix or scalar.
dst	Destination matrix that has the same size and type as the input array(s).
mask	Optional operation mask, 8-bit single channel array, that specifies elements of the destination array to be changed. The mask can be used only with single channel images.
stream	Stream for the asynchronous version.

Warning: In python both src1 and src2 have to be matrices, see bitwise_or_with_scalar for scalar overload.

See also: cv::bitwise_or, bitwise_or_with_scalar

◆ bitwise_or_with_scalar()

void cv::cuda::bitwise_or_with_scalar	(	InputArray	src1,
		Scalar	src2,
		OutputArray	dst,
		InputArray	mask = `noArray()`,
		Stream &	stream = `Stream::Null()`
	)

inline

#include <opencv2/cudaarithm.hpp>

Performs a per-element bitwise disjunction of a matrix and scalar.

Parameters

src1	First source matrix.
src2	Second source scalar.
dst	Destination matrix that has the same size and type as the input array.
mask	Optional operation mask, 8-bit single channel array, that specifies elements of the destination array to be changed. The mask can be used only with single channel images.
stream	Stream for the asynchronous version.

See also: bitwise_or

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◆ bitwise_xor()

void cv::cuda::bitwise_xor	(	InputArray	src1,
		InputArray	src2,
		OutputArray	dst,
		InputArray	mask = `noArray()`,
		Stream &	stream = `Stream::Null()`
	)

#include <opencv2/cudaarithm.hpp>

Performs a per-element bitwise exclusive or operation of two matrices (or of matrix and scalar).

Parameters

src1	First source matrix or scalar.
src2	Second source matrix or scalar.
dst	Destination matrix that has the same size and type as the input array.
mask	Optional operation mask, 8-bit single channel array, that specifies elements of the destination array to be changed. The mask can be used only with single channel images.
stream	Stream for the asynchronous version.

Warning: In python both src1 and src2 have to be matrices, see bitwise_xor_with_scalar for scalar overload.

See also: cv::bitwise_xor, bitwise_xor_with_scalar

◆ bitwise_xor_with_scalar()

void cv::cuda::bitwise_xor_with_scalar	(	InputArray	src1,
		Scalar	src2,
		OutputArray	dst,
		InputArray	mask = `noArray()`,
		Stream &	stream = `Stream::Null()`
	)

inline

#include <opencv2/cudaarithm.hpp>

Performs a per-element bitwise exclusive or operation of a matrix and a scalar.

Parameters

src1	First source matrix.
src2	Second source scalar.
dst	Destination matrix that has the same size and type as the input array(s).
mask	Optional operation mask, 8-bit single channel array, that specifies elements of the destination array to be changed. The mask can be used only with single channel images.
stream	Stream for the asynchronous version.

See also: bitwise_xor

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◆ cartToPolar() [1/3]

void cv::cuda::cartToPolar	(	InputArray	x,
		InputArray	y,
		OutputArray	magnitude,
		OutputArray	angle,
		bool	angleInDegrees = `false`,
		Stream &	stream = `Stream::Null()`
	)

#include <opencv2/cudaarithm.hpp>

Converts Cartesian coordinates into polar.

Parameters

x	Source matrix containing real components ( CV_32FC1 ).
y	Source matrix containing imaginary components ( CV_32FC1 ).
magnitude	Destination matrix of float magnitudes ( CV_32FC1 ).
angle	Destination matrix of angles ( CV_32FC1 ).
angleInDegrees	Flag for angles that must be evaluated in degrees.
stream	Stream for the asynchronous version.

See also: cartToPolar

◆ cartToPolar() [2/3]

void cv::cuda::cartToPolar	(	InputArray	xy,
		OutputArray	magnitude,
		OutputArray	angle,
		bool	angleInDegrees = `false`,
		Stream &	stream = `Stream::Null()`
	)

#include <opencv2/cudaarithm.hpp>

Converts Cartesian coordinates into polar.

Parameters

xy	Source matrix containing real and imaginary components ( CV_32FC2 ).
magnitude	Destination matrix of float magnitudes ( CV_32FC1 ).
angle	Destination matrix of angles ( CV_32FC1 ).
angleInDegrees	Flag for angles that must be evaluated in degrees.
stream	Stream for the asynchronous version.

See also: cartToPolar

◆ cartToPolar() [3/3]

void cv::cuda::cartToPolar	(	InputArray	xy,
		OutputArray	magnitudeAngle,
		bool	angleInDegrees = `false`,
		Stream &	stream = `Stream::Null()`
	)

#include <opencv2/cudaarithm.hpp>

Converts Cartesian coordinates into polar.

Parameters

xy	Source matrix containing real and imaginary components ( CV_32FC2 ).
magnitudeAngle	Destination matrix of float magnitudes and angles ( CV_32FC2 ).
angleInDegrees	Flag for angles that must be evaluated in degrees.
stream	Stream for the asynchronous version.

See also: cartToPolar

◆ compare()

void cv::cuda::compare	(	InputArray	src1,
		InputArray	src2,
		OutputArray	dst,
		int	cmpop,
		Stream &	stream = `Stream::Null()`
	)

#include <opencv2/cudaarithm.hpp>

Compares elements of two matrices (or of a matrix and scalar).

Parameters

src1	First source matrix or scalar.
src2	Second source matrix or scalar.
dst	Destination matrix that has the same size as the input array(s) and type CV_8U.
cmpop	Flag specifying the relation between the elements to be checked: CMP_EQ: a(.) == b(.) CMP_GT: a(.) > b(.) CMP_GE: a(.) >= b(.) CMP_LT: a(.) < b(.) CMP_LE: a(.) <= b(.) CMP_NE: a(.) != b(.)
stream	Stream for the asynchronous version.

Warning: In python both src1 and src2 have to be matrices, see compareWithScalar for scalar overload.

See also: cv::compare, compareWithScalar

◆ compareWithScalar()

void cv::cuda::compareWithScalar	(	InputArray	src1,
		Scalar	src2,
		OutputArray	dst,
		int	cmpop,
		Stream &	stream = `Stream::Null()`
	)

inline

#include <opencv2/cudaarithm.hpp>

Compares elements of a matrix and scalar.

Parameters

src1	First source matrix.
src2	Second source scalar.
dst	Destination matrix that has the same size as the input array and type CV_8U.
cmpop	Flag specifying the relation between the elements to be checked: CMP_EQ: a(.) == b(.) CMP_GT: a(.) > b(.) CMP_GE: a(.) >= b(.) CMP_LT: a(.) < b(.) CMP_LE: a(.) <= b(.) CMP_NE: a(.) != b(.)
stream	Stream for the asynchronous version.

See also: compare

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◆ divide()

void cv::cuda::divide	(	InputArray	src1,
		InputArray	src2,
		OutputArray	dst,
		double	scale = `1`,
		int	dtype = `-1`,
		Stream &	stream = `Stream::Null()`
	)

#include <opencv2/cudaarithm.hpp>

Computes a matrix-matrix or matrix-scalar division.

Parameters

src1	First source matrix or scalar.
src2	Second source matrix or scalar.
dst	Destination matrix that has the same size and number of channels as the input array(s). The depth is defined by dtype or `src1` depth.
scale	Optional scale factor.
dtype	Optional depth of the output array.
stream	Stream for the asynchronous version.

This function, in contrast to divide, uses a round-down rounding mode.

Warning: In python both src1 and src2 have to be matrices, see divideWithScalar for scalar overload.

See also: cv::divide, divideWithScalar

◆ divideWithScalar()

void cv::cuda::divideWithScalar	(	InputArray	src1,
		Scalar	src2,
		OutputArray	dst,
		double	scale = `1`,
		int	dtype = `-1`,
		Stream &	stream = `Stream::Null()`
	)

inline

#include <opencv2/cudaarithm.hpp>

Computes a matrix-scalar division.

Parameters

src1	First source matrix.
src2	Second source scalar.
dst	Destination matrix that has the same size and number of channels as the input array. The depth is defined by dtype or `src1` depth.
scale	Optional scale factor.
dtype	Optional depth of the output array.
stream	Stream for the asynchronous version.

This function, in contrast to divide, uses a round-down rounding mode.

See also: divide

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◆ exp()

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

#include <opencv2/cudaarithm.hpp>

Computes an exponent of each matrix element.

Parameters

src	Source matrix.
dst	Destination matrix with the same size and type as src .
stream	Stream for the asynchronous version.

See also: exp

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◆ inRange()

void cv::cuda::inRange	(	InputArray	src,
		const Scalar &	lowerb,
		const Scalar &	upperb,
		OutputArray	dst,
		Stream &	stream = `Stream::Null()`
	)

#include <opencv2/cudaarithm.hpp>

Checks if array elements lie between two scalars.

The function checks the range as follows:

For every element of a single-channel input array:
\[\texttt{dst} (I)= \texttt{lowerb}_0 \leq \texttt{src} (I)_0 \leq \texttt{upperb}_0\]
For two-channel arrays:
\[\texttt{dst} (I)= \texttt{lowerb}_0 \leq \texttt{src} (I)_0 \leq \texttt{upperb}_0 \land \texttt{lowerb}_1 \leq \texttt{src} (I)_1 \leq \texttt{upperb}_1\]
and so forth.

That is, dst (I) is set to 255 (all 1 -bits) if src (I) is within the specified 1D, 2D, 3D, ... box and 0 otherwise.

Note that unlike the CPU inRange, this does NOT accept an array for lowerb or upperb, only a cv::Scalar.

Parameters

src	first input array.
lowerb	inclusive lower boundary cv::Scalar.
upperb	inclusive upper boundary cv::Scalar.
dst	output array of the same size as src and CV_8U type.
stream	Stream for the asynchronous version.

See also: cv::inRange

◆ log()

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

#include <opencv2/cudaarithm.hpp>

Computes a natural logarithm of absolute value of each matrix element.

Parameters

src	Source matrix.
dst	Destination matrix with the same size and type as src .
stream	Stream for the asynchronous version.

See also: log

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◆ lshift() [1/2]

void cv::cuda::lshift	(	InputArray	src,
		Scalar	val,
		OutputArray	dst,
		Stream &	stream = `Stream::Null()`
	)

inline

#include <opencv2/cudaarithm.hpp>

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◆ lshift() [2/2]

void cv::cuda::lshift	(	InputArray	src,
		Scalar_< int >	val,
		OutputArray	dst,
		Stream &	stream = `Stream::Null()`
	)

#include <opencv2/cudaarithm.hpp>

Performs pixel by pixel right left of an image by a constant value.

Parameters

src	Source matrix. Supports 1, 3 and 4 channels images with CV_8U , CV_16U or CV_32S depth.
val	Constant values, one per channel.
dst	Destination matrix with the same size and type as src .
stream	Stream for the asynchronous version.

◆ magnitude() [1/2]

void cv::cuda::magnitude	(	InputArray	x,
		InputArray	y,
		OutputArray	magnitude,
		Stream &	stream = `Stream::Null()`
	)

#include <opencv2/cudaarithm.hpp>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. computes magnitude of each (x(i), y(i)) vector supports only floating-point source

Parameters

x	Source matrix containing real components ( CV_32FC1 ).
y	Source matrix containing imaginary components ( CV_32FC1 ).
magnitude	Destination matrix of float magnitudes ( CV_32FC1 ).
stream	Stream for the asynchronous version.

◆ magnitude() [2/2]

void cv::cuda::magnitude	(	InputArray	xy,
		OutputArray	magnitude,
		Stream &	stream = `Stream::Null()`
	)

#include <opencv2/cudaarithm.hpp>

Computes magnitudes of complex matrix elements.

Parameters

xy	Source complex matrix in the interleaved format ( CV_32FC2 ).
magnitude	Destination matrix of float magnitudes ( CV_32FC1 ).
stream	Stream for the asynchronous version.

See also: magnitude

◆ magnitudeSqr() [1/2]

void cv::cuda::magnitudeSqr	(	InputArray	x,
		InputArray	y,
		OutputArray	magnitude,
		Stream &	stream = `Stream::Null()`
	)

#include <opencv2/cudaarithm.hpp>

This is an overloaded member function, provided for convenience. It differs from the above function only in what argument(s) it accepts. computes squared magnitude of each (x(i), y(i)) vector supports only floating-point source

Parameters

x	Source matrix containing real components ( CV_32FC1 ).
y	Source matrix containing imaginary components ( CV_32FC1 ).
magnitude	Destination matrix of float magnitude squares ( CV_32FC1 ).
stream	Stream for the asynchronous version.

◆ magnitudeSqr() [2/2]

void cv::cuda::magnitudeSqr	(	InputArray	xy,
		OutputArray	magnitude,
		Stream &	stream = `Stream::Null()`
	)

#include <opencv2/cudaarithm.hpp>

Computes squared magnitudes of complex matrix elements.

Parameters

xy	Source complex matrix in the interleaved format ( CV_32FC2 ).
magnitude	Destination matrix of float magnitude squares ( CV_32FC1 ).
stream	Stream for the asynchronous version.

◆ max()

void cv::cuda::max	(	InputArray	src1,
		InputArray	src2,
		OutputArray	dst,
		Stream &	stream = `Stream::Null()`
	)

#include <opencv2/cudaarithm.hpp>

Computes the per-element maximum of two matrices (or a matrix and a scalar).

Parameters

src1	First source matrix or scalar.
src2	Second source matrix or scalar.
dst	Destination matrix that has the same size and type as the input array(s).
stream	Stream for the asynchronous version.

Warning: In python both src1 and src2 have to be matrices, see maxWithScalar for scalar overload.

See also: cv::max, maxWithScalar

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◆ maxWithScalar()

void cv::cuda::maxWithScalar	(	InputArray	src1,
		Scalar	src2,
		OutputArray	dst,
		Stream &	stream = `Stream::Null()`
	)

inline

#include <opencv2/cudaarithm.hpp>

Computes the per-element maximum of a matrix and a scalar.

Parameters

src1	First source matrix.
src2	Second source scalar.
dst	Destination matrix that has the same size and type as the input array.
stream	Stream for the asynchronous version.

See also: max

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◆ min()

void cv::cuda::min	(	InputArray	src1,
		InputArray	src2,
		OutputArray	dst,
		Stream &	stream = `Stream::Null()`
	)

#include <opencv2/cudaarithm.hpp>

Computes the per-element minimum of two matrices (or a matrix and a scalar).

Parameters

src1	First source matrix or scalar.
src2	Second source matrix or scalar.
dst	Destination matrix that has the same size and type as the input array(s).
stream	Stream for the asynchronous version.

Warning: In python both src1 and src2 have to be matrices, see minWithScalar for scalar overload.

See also: cv::min, minWithScalar

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◆ minWithScalar()

void cv::cuda::minWithScalar	(	InputArray	src1,
		Scalar	src2,
		OutputArray	dst,
		Stream &	stream = `Stream::Null()`
	)

inline

#include <opencv2/cudaarithm.hpp>

Computes the per-element minimum or a matrix and a scalar.

Parameters

src1	First source matrix.
src2	Second source scalar.
dst	Destination matrix that has the same size and type as the input array.
stream	Stream for the asynchronous version.

See also: min

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◆ multiply()

void cv::cuda::multiply	(	InputArray	src1,
		InputArray	src2,
		OutputArray	dst,
		double	scale = `1`,
		int	dtype = `-1`,
		Stream &	stream = `Stream::Null()`
	)

#include <opencv2/cudaarithm.hpp>

Computes a matrix-matrix or matrix-scalar per-element product.

Parameters

src1	First source matrix or scalar.
src2	Second source matrix or scalar.
dst	Destination matrix that has the same size and number of channels as the input array(s). The depth is defined by dtype or `src1` depth.
scale	Optional scale factor.
dtype	Optional depth of the output array.
stream	Stream for the asynchronous version.

Warning: In python both src1 and src2 have to be matrices, see multiplyWithScalar for scalar overload.

See also: cv::multiply, multiplyWithScalar

◆ multiplyWithScalar()

void cv::cuda::multiplyWithScalar	(	InputArray	src1,
		Scalar	src2,
		OutputArray	dst,
		double	scale = `1`,
		int	dtype = `-1`,
		Stream &	stream = `Stream::Null()`
	)

inline

#include <opencv2/cudaarithm.hpp>

Computes a matrix-scalar per-element product.

Parameters

src1	First source matrix.
src2	Second source scalar.
dst	Destination matrix that has the same size and number of channels as the input array. The depth is defined by dtype or `src1` depth.
scale	Optional scale factor.
dtype	Optional depth of the output array.
stream	Stream for the asynchronous version.

See also: multiply

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◆ phase() [1/2]

void cv::cuda::phase	(	InputArray	x,
		InputArray	y,
		OutputArray	angle,
		bool	angleInDegrees = `false`,
		Stream &	stream = `Stream::Null()`
	)

#include <opencv2/cudaarithm.hpp>

Computes polar angles of complex matrix elements.

Parameters

x	Source matrix containing real components ( CV_32FC1 ).
y	Source matrix containing imaginary components ( CV_32FC1 ).
angle	Destination matrix of angles ( CV_32FC1 ).
angleInDegrees	Flag for angles that must be evaluated in degrees.
stream	Stream for the asynchronous version.

See also: phase

◆ phase() [2/2]

void cv::cuda::phase	(	InputArray	xy,
		OutputArray	angle,
		bool	angleInDegrees = `false`,
		Stream &	stream = `Stream::Null()`
	)

#include <opencv2/cudaarithm.hpp>

Computes polar angles of complex matrix elements.

Parameters

xy	Source matrix containing real and imaginary components ( CV_32FC2 ).
angle	Destination matrix of angles ( CV_32FC1 ).
angleInDegrees	Flag for angles that must be evaluated in degrees.
stream	Stream for the asynchronous version.

See also: phase

◆ polarToCart() [1/3]

void cv::cuda::polarToCart	(	InputArray	magnitude,
		InputArray	angle,
		OutputArray	x,
		OutputArray	y,
		bool	angleInDegrees = `false`,
		Stream &	stream = `Stream::Null()`
	)

#include <opencv2/cudaarithm.hpp>

Converts polar coordinates into Cartesian.

Parameters

magnitude	Source matrix containing magnitudes ( CV_32FC1 or CV_64FC1 ).
angle	Source matrix containing angles ( same type as magnitude ).
x	Destination matrix of real components ( same type as magnitude ).
y	Destination matrix of imaginary components ( same type as magnitude ).
angleInDegrees	Flag that indicates angles in degrees.
stream	Stream for the asynchronous version.

◆ polarToCart() [2/3]

void cv::cuda::polarToCart	(	InputArray	magnitude,
		InputArray	angle,
		OutputArray	xy,
		bool	angleInDegrees = `false`,
		Stream &	stream = `Stream::Null()`
	)

#include <opencv2/cudaarithm.hpp>

Converts polar coordinates into Cartesian.

Parameters

magnitude	Source matrix containing magnitudes ( CV_32FC1 or CV_64FC1 ).
angle	Source matrix containing angles ( same type as magnitude ).
xy	Destination matrix of real and imaginary components ( same depth as magnitude, i.e. CV_32FC2 or CV_64FC2 ).
angleInDegrees	Flag that indicates angles in degrees.
stream	Stream for the asynchronous version.

◆ polarToCart() [3/3]

void cv::cuda::polarToCart	(	InputArray	magnitudeAngle,
		OutputArray	xy,
		bool	angleInDegrees = `false`,
		Stream &	stream = `Stream::Null()`
	)

#include <opencv2/cudaarithm.hpp>

Converts polar coordinates into Cartesian.

Parameters

magnitudeAngle	Source matrix containing magnitudes and angles ( CV_32FC2 or CV_64FC2 ).
xy	Destination matrix of real and imaginary components ( same depth as source ).
angleInDegrees	Flag that indicates angles in degrees.
stream	Stream for the asynchronous version.

◆ pow()

void cv::cuda::pow	(	InputArray	src,
		double	power,
		OutputArray	dst,
		Stream &	stream = `Stream::Null()`
	)

#include <opencv2/cudaarithm.hpp>

Raises every matrix element to a power.

Parameters

src	Source matrix.
power	Exponent of power.
dst	Destination matrix with the same size and type as src .
stream	Stream for the asynchronous version.

The function pow raises every element of the input matrix to power :

\[\texttt{dst} (I) = \fork{\texttt{src}(I)^power}{if \texttt{power} is integer}{|\texttt{src}(I)|^power}{otherwise}\]

See also: pow

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◆ rshift() [1/2]

void cv::cuda::rshift	(	InputArray	src,
		Scalar	val,
		OutputArray	dst,
		Stream &	stream = `Stream::Null()`
	)

inline

#include <opencv2/cudaarithm.hpp>

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◆ rshift() [2/2]

void cv::cuda::rshift	(	InputArray	src,
		Scalar_< int >	val,
		OutputArray	dst,
		Stream &	stream = `Stream::Null()`
	)

#include <opencv2/cudaarithm.hpp>

Performs pixel by pixel right shift of an image by a constant value.

Parameters

src	Source matrix. Supports 1, 3 and 4 channels images with integers elements.
val	Constant values, one per channel.
dst	Destination matrix with the same size and type as src .
stream	Stream for the asynchronous version.

◆ scaleAdd()

static void cv::cuda::scaleAdd	(	InputArray	src1,
		double	alpha,
		InputArray	src2,
		OutputArray	dst,
		Stream &	stream = `Stream::Null()`
	)

inlinestatic

#include <opencv2/cudaarithm.hpp>

adds scaled array to another one (dst = alpha*src1 + src2)

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◆ sqr()

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

#include <opencv2/cudaarithm.hpp>

Computes a square value of each matrix element.

Parameters

src	Source matrix.
dst	Destination matrix with the same size and type as src .
stream	Stream for the asynchronous version.

◆ sqrt()

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

#include <opencv2/cudaarithm.hpp>

Computes a square root of each matrix element.

Parameters

src	Source matrix.
dst	Destination matrix with the same size and type as src .
stream	Stream for the asynchronous version.

See also: sqrt

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◆ subtract()

void cv::cuda::subtract	(	InputArray	src1,
		InputArray	src2,
		OutputArray	dst,
		InputArray	mask = `noArray()`,
		int	dtype = `-1`,
		Stream &	stream = `Stream::Null()`
	)

#include <opencv2/cudaarithm.hpp>

Computes a matrix-matrix or matrix-scalar difference.

Parameters

src1	First source matrix or scalar.
src2	Second source matrix or scalar. Matrix should have the same size and type as `src1`.
dst	Destination matrix that has the same size and number of channels as the input array(s). The depth is defined by dtype or `src1` depth.
mask	Optional operation mask, 8-bit single channel array, that specifies elements of the destination array to be changed. The mask can be used only with single channel images.
dtype	Optional depth of the output array.
stream	Stream for the asynchronous version.

Warning: In python both src1 and src2 have to be matrices, see subtractWithScalar for scalar overload.

See also: cv::subtract, subtractWithScalar

◆ subtractWithScalar()

void cv::cuda::subtractWithScalar	(	InputArray	src1,
		Scalar	src2,
		OutputArray	dst,
		InputArray	mask = `noArray()`,
		int	dtype = `-1`,
		Stream &	stream = `Stream::Null()`
	)

inline

#include <opencv2/cudaarithm.hpp>

Computes matrix-scalar difference.

Parameters

src1	First source matrix.
src2	Second source scalar.
dst	Destination matrix that has the same size and number of channels as the input array. The depth is defined by dtype or `src1` depth.
mask	Optional operation mask, 8-bit single channel array, that specifies elements of the destination array to be changed. The mask can be used only with single channel images.
dtype	Optional depth of the output array.
stream	Stream for the asynchronous version.

See also: cv::subtract

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◆ threshold()

double cv::cuda::threshold	(	InputArray	src,
		OutputArray	dst,
		double	thresh,
		double	maxval,
		int	type,
		Stream &	stream = `Stream::Null()`
	)

#include <opencv2/cudaarithm.hpp>

Applies a fixed-level threshold to each array element.

Parameters

src	Source array (single-channel).
dst	Destination array with the same size and type as src .
thresh	Threshold value.
maxval	Maximum value to use with THRESH_BINARY and THRESH_BINARY_INV threshold types.
type	Threshold type. For details, see threshold . The THRESH_OTSU and THRESH_TRIANGLE threshold types are not supported.
stream	Stream for the asynchronous version.

See also: threshold

Detailed Description

Functions

Function Documentation

◆ abs()

◆ absdiff()

◆ absdiffWithScalar()

◆ add()

◆ addWeighted()

◆ addWithScalar()

◆ bitwise_and()

◆ bitwise_and_with_scalar()

◆ bitwise_not()

◆ bitwise_or()

◆ bitwise_or_with_scalar()

◆ bitwise_xor()

◆ bitwise_xor_with_scalar()

◆ cartToPolar() [1/3]

◆ cartToPolar() [2/3]

◆ cartToPolar() [3/3]

◆ compare()

◆ compareWithScalar()

◆ divide()

◆ divideWithScalar()

◆ exp()

◆ inRange()

◆ log()

◆ lshift() [1/2]

◆ lshift() [2/2]

◆ magnitude() [1/2]

◆ magnitude() [2/2]

◆ magnitudeSqr() [1/2]

◆ magnitudeSqr() [2/2]

◆ max()

◆ maxWithScalar()

◆ min()

◆ minWithScalar()

◆ multiply()

◆ multiplyWithScalar()

◆ phase() [1/2]

◆ phase() [2/2]

◆ polarToCart() [1/3]

◆ polarToCart() [2/3]

◆ polarToCart() [3/3]

◆ pow()

◆ rshift() [1/2]

◆ rshift() [2/2]

◆ scaleAdd()

◆ sqr()

◆ sqrt()

◆ subtract()

◆ subtractWithScalar()

◆ threshold()