125 lines
5.6 KiB
C++
125 lines
5.6 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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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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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2015, University of Ostrava, Institute for Research and Applications of Fuzzy Modeling,
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// Pavel Vlasanek, all rights reserved. Third party copyrights are property of their respective owners.
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//
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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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//
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// * Redistribution's 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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//
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// * Redistribution's 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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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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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 the Intel Corporation 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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//
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//M*/
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#ifndef __OPENCV_FUZZY_F1_MATH_H__
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#define __OPENCV_FUZZY_F1_MATH_H__
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#include "opencv2/fuzzy/types.hpp"
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#include "opencv2/core.hpp"
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namespace cv
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{
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namespace ft
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{
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//! @addtogroup f1_math
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//! @{
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/** @brief Computes components of the array using direct \f$F^1\f$-transform.
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@param matrix Input array.
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@param kernel Kernel used for processing. Function `ft::createKernel` can be used.
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@param components Output 32-bit float array for the components.
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The function computes linear components using predefined kernel.
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*/
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CV_EXPORTS_W void FT12D_components(InputArray matrix, InputArray kernel, OutputArray components);
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/** @brief Computes elements of \f$F^1\f$-transform components.
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@param matrix Input array.
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@param kernel Kernel used for processing. Function `ft::createKernel` can be used.
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@param c00 Elements represent average color.
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@param c10 Elements represent average vertical gradient.
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@param c01 Elements represent average horizontal gradient.
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@param components Output 32-bit float array for the components.
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@param mask Mask can be used for unwanted area marking.
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The function computes components and its elements using predefined kernel and mask.
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*/
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CV_EXPORTS_W void FT12D_polynomial(InputArray matrix, InputArray kernel, OutputArray c00, OutputArray c10, OutputArray c01, OutputArray components, InputArray mask = noArray());
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/** @brief Creates vertical matrix for \f$F^1\f$-transform computation.
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@param radius Radius of the basic function.
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@param matrix The vertical matrix.
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@param chn Number of channels.
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The function creates helper vertical matrix for \f$F^1\f$-transfrom processing. It is used for gradient computation.
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*/
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CV_EXPORTS_W void FT12D_createPolynomMatrixVertical(int radius, OutputArray matrix, const int chn);
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/** @brief Creates horizontal matrix for \f$F^1\f$-transform computation.
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@param radius Radius of the basic function.
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@param matrix The horizontal matrix.
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@param chn Number of channels.
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The function creates helper horizontal matrix for \f$F^1\f$-transfrom processing. It is used for gradient computation.
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*/
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CV_EXPORTS_W void FT12D_createPolynomMatrixHorizontal(int radius, OutputArray matrix, const int chn);
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/** @brief Computes \f$F^1\f$-transfrom and inverse \f$F^1\f$-transfrom at once.
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@param matrix Input matrix.
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@param kernel Kernel used for processing. Function `ft::createKernel` can be used.
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@param output Output 32-bit float array.
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@param mask Mask used for unwanted area marking.
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This function computes \f$F^1\f$-transfrom and inverse \f$F^1\f$-transfotm in one step. It is fully sufficient and optimized for `cv::Mat`.
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@note
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F-transform technique of first degreee is described in paper @cite Vlas:FT.
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*/
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CV_EXPORTS_W void FT12D_process(InputArray matrix, InputArray kernel, OutputArray output, InputArray mask = noArray());
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/** @brief Computes inverse \f$F^1\f$-transfrom.
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@param components Input 32-bit float single channel array for the components.
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@param kernel Kernel used for processing. The same kernel as for components computation must be used.
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@param output Output 32-bit float array.
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@param width Width of the output array.
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@param height Height of the output array.
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Computation of inverse \f$F^1\f$-transform.
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*/
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CV_EXPORTS_W void FT12D_inverseFT(InputArray components, InputArray kernel, OutputArray output, int width, int height);
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//! @}
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}
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}
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#endif // __OPENCV_FUZZY_F1_MATH_H__
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