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Add some documentation on ocl::convolve

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peng xiao 2013-04-08 17:15:52 +08:00
parent 3fea2620e6
commit 143f8f69d6
1 changed files with 38 additions and 3 deletions
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modules/ocl/doc/image_filtering.rst
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@ -109,17 +109,52 @@ Returns void
The function calculates the Laplacian of the source image by adding up the second x and y derivatives calculated using the Sobel operator. The function calculates the Laplacian of the source image by adding up the second x and y derivatives calculated using the Sobel operator.
ocl::ConvolveBuf
----------------
.. ocv:struct:: ocl::ConvolveBuf
Class providing a memory buffer for :ocv:func:`ocl::convolve` function, plus it allows to adjust some specific parameters. ::
struct CV_EXPORTS ConvolveBuf
{
Size result_size;
Size block_size;
Size user_block_size;
Size dft_size;
int spect_len;
oclMat image_spect, templ_spect, result_spect;
oclMat image_block, templ_block, result_data;
void create(Size image_size, Size templ_size);
static Size estimateBlockSize(Size result_size, Size templ_size);
};
You can use field `user_block_size` to set specific block size for :ocv:func:`ocl::convolve` function. If you leave its default value `Size(0,0)` then automatic estimation of block size will be used (which is optimized for speed). By varying `user_block_size` you can reduce memory requirements at the cost of speed.
ocl::ConvolveBuf::create
------------------------
.. ocv:function:: ocl::ConvolveBuf::create(Size image_size, Size templ_size)
Constructs a buffer for :ocv:func:`ocl::convolve` function with respective arguments.
ocl::convolve ocl::convolve
------------------ ------------------
Returns void Returns void
.. ocv:function:: void ocl::convolve(const oclMat &image, const oclMat &temp1, oclMat &result) .. ocv:function:: void ocl::convolve(const oclMat &image, const oclMat &temp1, oclMat &result, bool ccorr=false)
:param image: The source image .. ocv:function:: void ocl::convolve(const oclMat &image, const oclMat &temp1, oclMat &result, bool ccorr, ConvolveBuf& buf)
:param temp1: Convolution kernel, a single-channel floating point matrix. :param image: The source image. Only ``CV_32FC1`` images are supported for now.
:param temp1: Convolution kernel, a single-channel floating point matrix. The size is not greater than the ``image`` size. The type is the same as ``image``.
:param result: The destination image :param result: The destination image
:param ccorr: Flags to evaluate cross-correlation instead of convolution.
:param buf: Optional buffer to avoid extra memory allocations and to adjust some specific parameters. See :ocv:struct:`ocl::ConvolveBuf`.
Convolves an image with the kernel. Supports only CV_32FC1 data types and do not support ROI. Convolves an image with the kernel. Supports only CV_32FC1 data types and do not support ROI.