opencv/modules/gpuarithm/doc/element_operations.rst

Per-element Operations
======================

.. highlight:: cpp



gpu::add
--------
Computes a matrix-matrix or matrix-scalar sum.

.. ocv:function:: void gpu::add(InputArray src1, InputArray src2, OutputArray dst, InputArray mask = noArray(), int dtype = -1, Stream& stream = Stream::Null())

    :param src1: First source matrix or scalar.

    :param src2: Second source matrix or scalar. Matrix should have the same size and type as ``src1`` .

    :param 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.

    :param mask: Optional operation mask, 8-bit single channel array, that specifies elements of the destination array to be changed.

    :param dtype: Optional depth of the output array.

    :param stream: Stream for the asynchronous version.

.. seealso:: :ocv:func:`add`



gpu::subtract
-------------
Computes a matrix-matrix or matrix-scalar difference.

.. ocv:function:: void gpu::subtract(InputArray src1, InputArray src2, OutputArray dst, InputArray mask = noArray(), int dtype = -1, Stream& stream = Stream::Null())

    :param src1: First source matrix or scalar.

    :param src2: Second source matrix or scalar. Matrix should have the same size and type as ``src1`` .

    :param 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.

    :param mask: Optional operation mask, 8-bit single channel array, that specifies elements of the destination array to be changed.

    :param dtype: Optional depth of the output array.

    :param stream: Stream for the asynchronous version.

.. seealso:: :ocv:func:`subtract`



gpu::multiply
-------------
Computes a matrix-matrix or matrix-scalar per-element product.

.. ocv:function:: void gpu::multiply(InputArray src1, InputArray src2, OutputArray dst, double scale = 1, int dtype = -1, Stream& stream = Stream::Null())

    :param src1: First source matrix or scalar.

    :param src2: Second source matrix or scalar.

    :param 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.

    :param scale: Optional scale factor.

    :param dtype: Optional depth of the output array.

    :param stream: Stream for the asynchronous version.

.. seealso:: :ocv:func:`multiply`



gpu::divide
-----------
Computes a matrix-matrix or matrix-scalar division.

.. ocv:function:: void gpu::divide(InputArray src1, InputArray src2, OutputArray dst, double scale = 1, int dtype = -1, Stream& stream = Stream::Null())

.. ocv:function:: void gpu::divide(double src1, InputArray src2, OutputArray dst, int dtype = -1, Stream& stream = Stream::Null())

    :param src1: First source matrix or a scalar.

    :param src2: Second source matrix or scalar.

    :param 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.

    :param scale: Optional scale factor.

    :param dtype: Optional depth of the output array.

    :param stream: Stream for the asynchronous version.

This function, in contrast to :ocv:func:`divide`, uses a round-down rounding mode.

.. seealso:: :ocv:func:`divide`



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

.. ocv:function:: void gpu::absdiff(InputArray src1, InputArray src2, OutputArray dst, Stream& stream = Stream::Null())

    :param src1: First source matrix or scalar.

    :param src2: Second source matrix or scalar.

    :param dst: Destination matrix that has the same size and type as the input array(s).

    :param stream: Stream for the asynchronous version.

.. seealso:: :ocv:func:`absdiff`



gpu::abs
--------
Computes an absolute value of each matrix element.

.. ocv:function:: void gpu::abs(InputArray src, OutputArray dst, Stream& stream = Stream::Null())

    :param src: Source matrix.

    :param dst: Destination matrix with the same size and type as ``src`` .

    :param stream: Stream for the asynchronous version.

.. seealso:: :ocv:func:`abs`



gpu::sqr
--------
Computes a square value of each matrix element.

.. ocv:function:: void gpu::sqr(InputArray src, OutputArray dst, Stream& stream = Stream::Null())

    :param src: Source matrix.

    :param dst: Destination matrix with the same size and type as ``src`` .

    :param stream: Stream for the asynchronous version.



gpu::sqrt
---------
Computes a square root of each matrix element.

.. ocv:function:: void gpu::sqrt(InputArray src, OutputArray dst, Stream& stream = Stream::Null())

    :param src: Source matrix.

    :param dst: Destination matrix with the same size and type as ``src`` .

    :param stream: Stream for the asynchronous version.

.. seealso:: :ocv:func:`sqrt`



gpu::exp
--------
Computes an exponent of each matrix element.

.. ocv:function:: void gpu::exp(InputArray src, OutputArray dst, Stream& stream = Stream::Null())

    :param src: Source matrix.

    :param dst: Destination matrix with the same size and type as ``src`` .

    :param stream: Stream for the asynchronous version.

.. seealso:: :ocv:func:`exp`



gpu::log
--------
Computes a natural logarithm of absolute value of each matrix element.

.. ocv:function:: void gpu::log(InputArray src, OutputArray dst, Stream& stream = Stream::Null())

    :param src: Source matrix.

    :param dst: Destination matrix with the same size and type as ``src`` .

    :param stream: Stream for the asynchronous version.

.. seealso:: :ocv:func:`log`



gpu::pow
--------
Raises every matrix element to a power.

.. ocv:function:: void gpu::pow(InputArray src, double power, OutputArray dst, Stream& stream = Stream::Null())

    :param src: Source matrix.

    :param power: Exponent of power.

    :param dst: Destination matrix with the same size and type as ``src`` .

    :param stream: Stream for the asynchronous version.

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

.. math::

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

.. seealso:: :ocv:func:`pow`



gpu::compare
------------
Compares elements of two matrices (or of a matrix and scalar).

.. ocv:function:: void gpu::compare(InputArray src1, InputArray src2, OutputArray dst, int cmpop, Stream& stream = Stream::Null())

    :param src1: First source matrix or scalar.

    :param src2: Second source matrix or scalar.

    :param dst: Destination matrix that has the same size and type as the input array(s).

    :param 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(.)``

    :param stream: Stream for the asynchronous version.

.. seealso:: :ocv:func:`compare`



gpu::bitwise_not
----------------
Performs a per-element bitwise inversion.

.. ocv:function:: void gpu::bitwise_not(InputArray src, OutputArray dst, InputArray mask = noArray(), Stream& stream = Stream::Null())

    :param src: Source matrix.

    :param dst: Destination matrix with the same size and type as ``src`` .

    :param mask: Optional operation mask. 8-bit single channel image.

    :param stream: Stream for the asynchronous version.



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

.. ocv:function:: void gpu::bitwise_or(InputArray src1, InputArray src2, OutputArray dst, InputArray mask = noArray(), Stream& stream = Stream::Null())

    :param src1: First source matrix or scalar.

    :param src2: Second source matrix or scalar.

    :param dst: Destination matrix that has the same size and type as the input array(s).

    :param mask: Optional operation mask. 8-bit single channel image.

    :param stream: Stream for the asynchronous version.



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

.. ocv:function:: void gpu::bitwise_and(InputArray src1, InputArray src2, OutputArray dst, InputArray mask = noArray(), Stream& stream = Stream::Null())

    :param src1: First source matrix or scalar.

    :param src2: Second source matrix or scalar.

    :param dst: Destination matrix that has the same size and type as the input array(s).

    :param mask: Optional operation mask. 8-bit single channel image.

    :param stream: Stream for the asynchronous version.



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

.. ocv:function:: void gpu::bitwise_xor(InputArray src1, InputArray src2, OutputArray dst, InputArray mask = noArray(), Stream& stream = Stream::Null())

    :param src1: First source matrix or scalar.

    :param src2: Second source matrix or scalar.

    :param dst: Destination matrix that has the same size and type as the input array(s).

    :param mask: Optional operation mask. 8-bit single channel image.

    :param stream: Stream for the asynchronous version.



gpu::rshift
-----------
Performs pixel by pixel right shift of an image by a constant value.

.. ocv:function:: void gpu::rshift(InputArray src, Scalar_<int> val, OutputArray dst, Stream& stream = Stream::Null())

    :param src: Source matrix. Supports 1, 3 and 4 channels images with integers elements.

    :param val: Constant values, one per channel.

    :param dst: Destination matrix with the same size and type as ``src`` .

    :param stream: Stream for the asynchronous version.



gpu::lshift
-----------
Performs pixel by pixel right left of an image by a constant value.

.. ocv:function:: void gpu::lshift(InputArray src, Scalar_<int> val, OutputArray dst, Stream& stream = Stream::Null())

    :param src: Source matrix. Supports 1, 3 and 4 channels images with ``CV_8U`` , ``CV_16U`` or ``CV_32S`` depth.

    :param val: Constant values, one per channel.

    :param dst: Destination matrix with the same size and type as ``src`` .

    :param stream: Stream for the asynchronous version.



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

.. ocv:function:: void gpu::min(InputArray src1, InputArray src2, OutputArray dst, Stream& stream = Stream::Null())

    :param src1: First source matrix or scalar.

    :param src2: Second source matrix or scalar.

    :param dst: Destination matrix that has the same size and type as the input array(s).

    :param stream: Stream for the asynchronous version.

.. seealso:: :ocv:func:`min`



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

.. ocv:function:: void gpu::max(InputArray src1, InputArray src2, OutputArray dst, Stream& stream = Stream::Null())

    :param src1: First source matrix or scalar.

    :param src2: Second source matrix or scalar.

    :param dst: Destination matrix that has the same size and type as the input array(s).

    :param stream: Stream for the asynchronous version.

.. seealso:: :ocv:func:`max`



gpu::addWeighted
----------------
Computes the weighted sum of two arrays.

.. ocv:function:: void gpu::addWeighted(InputArray src1, double alpha, InputArray src2, double beta, double gamma, OutputArray dst, int dtype = -1, Stream& stream = Stream::Null())

    :param src1: First source array.

    :param alpha: Weight for the first array elements.

    :param src2: Second source array of the same size and channel number as  ``src1`` .

    :param beta: Weight for the second array elements.

    :param dst: Destination array that has the same size and number of channels as the input arrays.

    :param gamma: Scalar added to each sum.

    :param 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()``.

    :param stream: Stream for the asynchronous version.

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

.. math::

    \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.

.. seealso:: :ocv:func:`addWeighted`



gpu::threshold
--------------
Applies a fixed-level threshold to each array element.

.. ocv:function:: double gpu::threshold(InputArray src, OutputArray dst, double thresh, double maxval, int type, Stream& stream = Stream::Null())

    :param src: Source array (single-channel).

    :param dst: Destination array with the same size and type as  ``src`` .

    :param thresh: Threshold value.

    :param maxval: Maximum value to use with  ``THRESH_BINARY`` and  ``THRESH_BINARY_INV`` threshold types.

    :param type: Threshold type. For details, see  :ocv:func:`threshold` . The ``THRESH_OTSU`` threshold type is not supported.

    :param stream: Stream for the asynchronous version.

.. seealso:: :ocv:func:`threshold`



gpu::magnitude
--------------
Computes magnitudes of complex matrix elements.

.. ocv:function:: void gpu::magnitude(InputArray xy, OutputArray magnitude, Stream& stream = Stream::Null())

.. ocv:function:: void gpu::magnitude(InputArray x, InputArray y, OutputArray magnitude, Stream& stream = Stream::Null())

    :param xy: Source complex matrix in the interleaved format ( ``CV_32FC2`` ).

    :param x: Source matrix containing real components ( ``CV_32FC1`` ).

    :param y: Source matrix containing imaginary components ( ``CV_32FC1`` ).

    :param magnitude: Destination matrix of float magnitudes ( ``CV_32FC1`` ).

    :param stream: Stream for the asynchronous version.

.. seealso:: :ocv:func:`magnitude`



gpu::magnitudeSqr
-----------------
Computes squared magnitudes of complex matrix elements.

.. ocv:function:: void gpu::magnitudeSqr(InputArray xy, OutputArray magnitude, Stream& stream=Stream::Null() )

.. ocv:function:: void gpu::magnitudeSqr(InputArray x, InputArray y, OutputArray magnitude, Stream& stream = Stream::Null())

    :param xy: Source complex matrix in the interleaved format ( ``CV_32FC2`` ).

    :param x: Source matrix containing real components ( ``CV_32FC1`` ).

    :param y: Source matrix containing imaginary components ( ``CV_32FC1`` ).

    :param magnitude: Destination matrix of float magnitude squares ( ``CV_32FC1`` ).

    :param stream: Stream for the asynchronous version.



gpu::phase
----------
Computes polar angles of complex matrix elements.

.. ocv:function:: void gpu::phase(InputArray x, InputArray y, OutputArray angle, bool angleInDegrees = false, Stream& stream = Stream::Null())

    :param x: Source matrix containing real components ( ``CV_32FC1`` ).

    :param y: Source matrix containing imaginary components ( ``CV_32FC1`` ).

    :param angle: Destination matrix of angles ( ``CV_32FC1`` ).

    :param angleInDegrees: Flag for angles that must be evaluated in degrees.

    :param stream: Stream for the asynchronous version.

.. seealso:: :ocv:func:`phase`



gpu::cartToPolar
----------------
Converts Cartesian coordinates into polar.

.. ocv:function:: void gpu::cartToPolar(InputArray x, InputArray y, OutputArray magnitude, OutputArray angle, bool angleInDegrees = false, Stream& stream = Stream::Null())

    :param x: Source matrix containing real components ( ``CV_32FC1`` ).

    :param y: Source matrix containing imaginary components ( ``CV_32FC1`` ).

    :param magnitude: Destination matrix of float magnitudes ( ``CV_32FC1`` ).

    :param angle: Destination matrix of angles ( ``CV_32FC1`` ).

    :param angleInDegrees: Flag for angles that must be evaluated in degrees.

    :param stream: Stream for the asynchronous version.

.. seealso:: :ocv:func:`cartToPolar`



gpu::polarToCart
----------------
Converts polar coordinates into Cartesian.

.. ocv:function:: void gpu::polarToCart(InputArray magnitude, InputArray angle, OutputArray x, OutputArray y, bool angleInDegrees = false, Stream& stream = Stream::Null())

    :param magnitude: Source matrix containing magnitudes ( ``CV_32FC1`` ).

    :param angle: Source matrix containing angles ( ``CV_32FC1`` ).

    :param x: Destination matrix of real components ( ``CV_32FC1`` ).

    :param y: Destination matrix of imaginary components ( ``CV_32FC1`` ).

    :param angleInDegrees: Flag that indicates angles in degrees.

    :param stream: Stream for the asynchronous version.

.. seealso:: :ocv:func:`polarToCart`