opencv/modules/gpu/doc/per_element_operations.rst
Vladislav Vinogradov 2d30480982 created wrappers for new NPP functions
removed void integral(const GpuMat& src, GpuMat& sum, GpuMat& sqsum, Stream& stream) - it fails with NPP_NOT_IMPLEMENTED error
updated docs, accuracy and performance tests
2012-02-22 10:00:53 +00:00

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Per-element Operations
=======================
.. highlight:: cpp
gpu::add
------------
Computes a matrix-matrix or matrix-scalar sum.
.. ocv:function:: void gpu::add(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat& mask = GpuMat(), int dtype = -1, Stream& stream = Stream::Null())
.. ocv:function:: void gpu::add(const GpuMat& src1, const Scalar& src2, GpuMat& dst, const GpuMat& mask = GpuMat(), int dtype = -1, Stream& stream = Stream::Null())
:param src1: First source matrix.
:param src2: Second source matrix or a scalar to be added to ``src1`` . 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(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat& mask = GpuMat(), int dtype = -1, Stream& stream = Stream::Null())
.. ocv:function:: void gpu::subtract(const GpuMat& src1, const Scalar& src2, GpuMat& dst, const GpuMat& mask = GpuMat(), int dtype = -1, Stream& stream = Stream::Null())
:param src1: First source matrix.
:param src2: Second source matrix or a scalar to be added to ``src1`` . 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(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, double scale = 1, int dtype = -1, Stream& stream = Stream::Null())
.. ocv:function:: void gpu::multiply(const GpuMat& src1, const Scalar& src2, GpuMat& dst, double scale = 1, int dtype = -1, Stream& stream = Stream::Null())
:param src1: First source matrix.
:param src2: Second source matrix or a scalar to be multiplied by ``src1`` elements.
: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(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, double scale = 1, int dtype = -1, Stream& stream = Stream::Null())
.. ocv:function:: void gpu::divide(const GpuMat& src1, const Scalar& src2, GpuMat& dst, double scale = 1, int dtype = -1, Stream& stream = Stream::Null())
.. ocv:function:: void gpu::divide(double src1, const GpuMat& src2, GpuMat& dst, int dtype = -1, Stream& stream = Stream::Null())
:param src1: First source matrix or a scalar.
:param src2: Second source matrix or a scalar. The ``src1`` elements are divided by it.
: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`
addWeighted
---------------
Computes the weighted sum of two arrays.
.. ocv:function:: void gpu::addWeighted(const GpuMat& src1, double alpha, const GpuMat& src2, double beta, double gamma, GpuMat& 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::abs
------------
Computes an absolute value of each matrix element.
.. ocv:function:: void gpu::abs(const GpuMat& src, GpuMat& dst, Stream& stream = Stream::Null())
:param src: Source matrix. Supports ``CV_16S`` and ``CV_32F`` depth.
: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(const GpuMat& src, GpuMat& dst, Stream& stream = Stream::Null())
:param src: Source matrix. Supports ``CV_8U`` , ``CV_16U`` , ``CV_16S`` and ``CV_32F`` depth.
: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(const GpuMat& src, GpuMat& dst, Stream& stream = Stream::Null())
:param src: Source matrix. Supports ``CV_8U`` , ``CV_16U`` , ``CV_16S`` and ``CV_32F`` depth.
: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(const GpuMat& src, GpuMat& dst, Stream& stream = Stream::Null())
:param src: Source matrix. Supports ``CV_8U`` , ``CV_16U`` , ``CV_16S`` and ``CV_32F`` depth.
: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(const GpuMat& src, GpuMat& dst, Stream& stream = Stream::Null())
:param src: Source matrix. Supports ``CV_8U`` , ``CV_16U`` , ``CV_16S`` and ``CV_32F`` depth.
: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(const GpuMat& src, double power, GpuMat& dst, Stream& stream = Stream::Null())
:param src: Source matrix. Supports all type, except ``CV_64F`` depth.
: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 ``p`` :
.. math::
\texttt{dst} (I) = \fork{\texttt{src}(I)^p}{if \texttt{p} is integer}{|\texttt{src}(I)|^p}{otherwise}
.. seealso:: :ocv:func:`pow`
gpu::absdiff
----------------
Computes per-element absolute difference of two matrices (or of a matrix and scalar).
.. ocv:function:: void gpu::absdiff(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, Stream& stream = Stream::Null())
.. ocv:function:: void gpu::absdiff(const GpuMat& src1, const Scalar& src2, GpuMat& dst, Stream& stream = Stream::Null())
:param src1: First source matrix.
:param src2: Second source matrix or a scalar to be added to ``src1`` .
:param dst: Destination matrix with the same size and type as ``src1`` .
:param stream: Stream for the asynchronous version.
.. seealso:: :ocv:func:`absdiff`
gpu::compare
----------------
Compares elements of two matrices.
.. ocv:function:: void gpu::compare(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, int cmpop, Stream& stream = Stream::Null())
:param src1: First source matrix.
:param src2: Second source matrix with the same size and type as ``src1`` .
:param dst: Destination matrix with the same size as ``src1`` and the ``CV_8UC1`` type.
:param cmpop: Flag specifying the relation between the elements to be checked:
* **CMP_EQ:** ``src1(.) == src2(.)``
* **CMP_GT:** ``src1(.) < src2(.)``
* **CMP_GE:** ``src1(.) <= src2(.)``
* **CMP_LT:** ``src1(.) < src2(.)``
* **CMP_LE:** ``src1(.) <= src2(.)``
* **CMP_NE:** ``src1(.) != src2(.)``
: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(const GpuMat& src, GpuMat& dst, const GpuMat& mask=GpuMat(), 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(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat& mask=GpuMat(), Stream& stream = Stream::Null())
.. ocv:function:: void gpu::bitwise_or(const GpuMat& src1, const Scalar& sc, GpuMat& dst, Stream& stream = Stream::Null())
:param src1: First source matrix.
:param src2: Second source matrix with the same size and type as ``src1`` .
:param dst: Destination matrix with the same size and type as ``src1`` .
: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(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat& mask=GpuMat(), Stream& stream = Stream::Null())
.. ocv:function:: void gpu::bitwise_and(const GpuMat& src1, const Scalar& sc, GpuMat& dst, Stream& stream = Stream::Null())
:param src1: First source matrix.
:param src2: Second source matrix with the same size and type as ``src1`` .
:param dst: Destination matrix with the same size and type as ``src1`` .
: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 of matrix and scalar.
.. ocv:function:: void gpu::bitwise_xor(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, const GpuMat& mask=GpuMat(), Stream& stream = Stream::Null())
.. ocv:function:: void gpu::bitwise_xor(const GpuMat& src1, const Scalar& sc, GpuMat& dst, Stream& stream = Stream::Null())
:param src1: First source matrix.
:param src2: Second source matrix with the same size and type as ``src1`` .
:param dst: Destination matrix with the same size and type as ``src1`` .
: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(const GpuMat& src, const Scalar& sc, GpuMat& dst, Stream& stream = Stream::Null())
:param src: Source matrix. Supports 1, 3 and 4 channels images with integers elements.
:param sc: 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(const GpuMat& src, const Scalar& sc, GpuMat& 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 sc: 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(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, Stream& stream = Stream::Null())
.. ocv:function:: void gpu::min(const GpuMat& src1, double src2, GpuMat& dst, Stream& stream = Stream::Null())
:param src1: First source matrix.
:param src2: Second source matrix or a scalar to compare ``src1`` elements with.
:param dst: Destination matrix with the same size and type as ``src1`` .
: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(const GpuMat& src1, const GpuMat& src2, GpuMat& dst, Stream& stream = Stream::Null())
.. ocv:function:: void gpu::max(const GpuMat& src1, double src2, GpuMat& dst, Stream& stream = Stream::Null())
:param src1: First source matrix.
:param src2: Second source matrix or a scalar to compare ``src1`` elements with.
:param dst: Destination matrix with the same size and type as ``src1`` .
:param stream: Stream for the asynchronous version.
.. seealso:: :ocv:func:`max`