83 lines
3.8 KiB
C++
83 lines
3.8 KiB
C++
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/*
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By downloading, copying, installing or using the software you agree to this license.
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If you do not agree to this license, do not download, install,
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copy or use the software.
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License Agreement
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For Open Source Computer Vision Library
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(3-clause BSD License)
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Copyright (C) 2000-2015, Intel Corporation, all rights reserved.
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Copyright (C) 2009-2011, Willow Garage Inc., all rights reserved.
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Copyright (C) 2009-2015, NVIDIA Corporation, all rights reserved.
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Copyright (C) 2010-2013, Advanced Micro Devices, Inc., all rights reserved.
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Copyright (C) 2015, OpenCV Foundation, all rights reserved.
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Copyright (C) 2015, Itseez Inc., all rights reserved.
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Third party copyrights are property of their respective owners.
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Redistribution and use in source and binary forms, with or without modification,
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are permitted provided that the following conditions are met:
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* Redistributions of source code must retain the above copyright notice,
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this list of conditions and the following disclaimer.
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* Redistributions in binary form must reproduce the above copyright notice,
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this list of conditions and the following disclaimer in the documentation
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and/or other materials provided with the distribution.
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* Neither the names of the copyright holders nor the names of the contributors
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may be used to endorse or promote products derived from this software
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without specific prior written permission.
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This software is provided by the copyright holders and contributors "as is" and
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any express or implied warranties, including, but not limited to, the implied
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warranties of merchantability and fitness for a particular purpose are disclaimed.
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In no event shall copyright holders or contributors be liable for any direct,
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indirect, incidental, special, exemplary, or consequential damages
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(including, but not limited to, procurement of substitute goods or services;
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loss of use, data, or profits; or business interruption) however caused
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and on any theory of liability, whether in contract, strict liability,
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or tort (including negligence or otherwise) arising in any way out of
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the use of this software, even if advised of the possibility of such damage.
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Algorithmic details of this algorithm can be found at:
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* O. Green, Y. Birk, "A Computationally Efficient Algorithm for the 2D Covariance Method", ACM/IEEE International Conference on High Performance Computing, Networking, Storage and Analysis, Denver, Colorado, 2013
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A previous and less efficient version of the algorithm can be found:
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* O. Green, L. David, A. Galperin, Y. Birk, "Efficient parallel computation of the estimated covariance matrix", arXiv, 2013
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*/
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#ifndef __OPENCV_ESTIMATECOVARIANCE_HPP__
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#define __OPENCV_ESTIMATECOVARIANCE_HPP__
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#ifdef __cplusplus
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#include <opencv2/core.hpp>
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namespace cv
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{
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namespace ximgproc
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{
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/** @brief Computes the estimated covariance matrix of an image using the sliding
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window forumlation.
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@param src The source image. Input image must be of a complex type.
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@param dst The destination estimated covariance matrix. Output matrix will be size (windowRows*windowCols, windowRows*windowCols).
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@param windowRows The number of rows in the window.
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@param windowCols The number of cols in the window.
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The window size parameters control the accuracy of the estimation.
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The sliding window moves over the entire image from the top-left corner
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to the bottom right corner. Each location of the window represents a sample.
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If the window is the size of the image, then this gives the exact covariance matrix.
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For all other cases, the sizes of the window will impact the number of samples
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and the number of elements in the estimated covariance matrix.
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*/
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CV_EXPORTS_W void covarianceEstimation(InputArray src, OutputArray dst, int windowRows, int windowCols);
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}
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}
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#endif
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#endif
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