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							- /*M///////////////////////////////////////////////////////////////////////////////////////
 
- //
 
- //  IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
 
- //
 
- //  By downloading, copying, installing or using the software you agree to this license.
 
- //  If you do not agree to this license, do not download, install,
 
- //  copy or use the software.
 
- //
 
- //
 
- //                           License Agreement
 
- //                For Open Source Computer Vision Library
 
- //
 
- // Copyright (C) 2015, University of Ostrava, Institute for Research and Applications of Fuzzy Modeling,
 
- // Pavel Vlasanek, all rights reserved. Third party copyrights are property of their respective owners.
 
- //
 
- // Redistribution and use in source and binary forms, with or without modification,
 
- // are permitted provided that the following conditions are met:
 
- //
 
- //   * Redistribution's of source code must retain the above copyright notice,
 
- //     this list of conditions and the following disclaimer.
 
- //
 
- //   * Redistribution's in binary form must reproduce the above copyright notice,
 
- //     this list of conditions and the following disclaimer in the documentation
 
- //     and/or other materials provided with the distribution.
 
- //
 
- //   * The name of the copyright holders may not be used to endorse or promote products
 
- //     derived from this software without specific prior written permission.
 
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- // This software is provided by the copyright holders and contributors "as is" and
 
- // any express or implied warranties, including, but not limited to, the implied
 
- // warranties of merchantability and fitness for a particular purpose are disclaimed.
 
- // In no event shall the Intel Corporation or contributors be liable for any direct,
 
- // indirect, incidental, special, exemplary, or consequential damages
 
- // (including, but not limited to, procurement of substitute goods or services;
 
- // loss of use, data, or profits; or business interruption) however caused
 
- // and on any theory of liability, whether in contract, strict liability,
 
- // or tort (including negligence or otherwise) arising in any way out of
 
- // the use of this software, even if advised of the possibility of such damage.
 
- //
 
- //M*/
 
- #ifndef __OPENCV_FUZZY_F1_MATH_H__
 
- #define __OPENCV_FUZZY_F1_MATH_H__
 
- #include "opencv2/fuzzy/types.hpp"
 
- #include "opencv2/core.hpp"
 
- namespace cv
 
- {
 
- namespace ft
 
- {
 
-     //! @addtogroup f1_math
 
-     //! @{
 
-     /** @brief Computes components of the array using direct \f$F^1\f$-transform.
 
-     @param matrix Input array.
 
-     @param kernel Kernel used for processing. Function `ft::createKernel` can be used.
 
-     @param components Output 32-bit float array for the components.
 
-     The function computes linear components using predefined kernel.
 
-     */
 
-     CV_EXPORTS_W void FT12D_components(InputArray matrix, InputArray kernel, OutputArray components);
 
-     /** @brief Computes elements of \f$F^1\f$-transform components.
 
-     @param matrix Input array.
 
-     @param kernel Kernel used for processing. Function `ft::createKernel` can be used.
 
-     @param c00 Elements represent average color.
 
-     @param c10 Elements represent average vertical gradient.
 
-     @param c01 Elements represent average horizontal gradient.
 
-     @param components Output 32-bit float array for the components.
 
-     @param mask Mask can be used for unwanted area marking.
 
-     The function computes components and its elements using predefined kernel and mask.
 
-     */
 
-     CV_EXPORTS_W void FT12D_polynomial(InputArray matrix, InputArray kernel, OutputArray c00, OutputArray c10, OutputArray c01, OutputArray components, InputArray mask = noArray());
 
-     /** @brief Creates vertical matrix for \f$F^1\f$-transform computation.
 
-     @param radius Radius of the basic function.
 
-     @param matrix The vertical matrix.
 
-     @param chn Number of channels.
 
-     The function creates helper vertical matrix for \f$F^1\f$-transfrom processing. It is used for gradient computation.
 
-     */
 
-     CV_EXPORTS_W void FT12D_createPolynomMatrixVertical(int radius, OutputArray matrix, const int chn);
 
-     /** @brief Creates horizontal matrix for \f$F^1\f$-transform computation.
 
-     @param radius Radius of the basic function.
 
-     @param matrix The horizontal matrix.
 
-     @param chn Number of channels.
 
-     The function creates helper horizontal matrix for \f$F^1\f$-transfrom processing. It is used for gradient computation.
 
-     */
 
-     CV_EXPORTS_W void FT12D_createPolynomMatrixHorizontal(int radius, OutputArray matrix, const int chn);
 
-     /** @brief Computes \f$F^1\f$-transfrom and inverse \f$F^1\f$-transfrom at once.
 
-     @param matrix Input matrix.
 
-     @param kernel Kernel used for processing. Function `ft::createKernel` can be used.
 
-     @param output Output 32-bit float array.
 
-     @param mask Mask used for unwanted area marking.
 
-     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`.
 
-     @note
 
-         F-transform technique of first degreee is described in paper @cite Vlas:FT.
 
-     */
 
-     CV_EXPORTS_W void FT12D_process(InputArray matrix, InputArray kernel, OutputArray output, InputArray mask = noArray());
 
-     /** @brief Computes inverse \f$F^1\f$-transfrom.
 
-     @param components Input 32-bit float single channel array for the components.
 
-     @param kernel Kernel used for processing. The same kernel as for components computation must be used.
 
-     @param output Output 32-bit float array.
 
-     @param width Width of the output array.
 
-     @param height Height of the output array.
 
-     Computation of inverse \f$F^1\f$-transform.
 
-     */
 
-     CV_EXPORTS_W void FT12D_inverseFT(InputArray components, InputArray kernel, OutputArray output, int width, int height);
 
-     //! @}
 
- }
 
- }
 
- #endif // __OPENCV_FUZZY_F1_MATH_H__
 
 
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