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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.
 
- //
 
- // 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,
 
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- // (including, but not limited to, procurement of substitute goods or services;
 
- // loss of use, data, or profits; or business interruption) however caused
 
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- // the use of this software, even if advised of the possibility of such damage.
 
- //
 
- //M*/
 
- #ifndef __OPENCV_FUZZY_F0_MATH_H__
 
- #define __OPENCV_FUZZY_F0_MATH_H__
 
- #include "opencv2/fuzzy/types.hpp"
 
- #include "opencv2/core.hpp"
 
- namespace cv
 
- {
 
- namespace ft
 
- {
 
-     //! @addtogroup f0_math
 
-     //! @{
 
-     /** @brief Computes components of the array using direct \f$F^0\f$-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.
 
-     @param mask Mask can be used for unwanted area marking.
 
-     The function computes components using predefined kernel and mask.
 
-      */
 
-     CV_EXPORTS_W void FT02D_components(InputArray matrix, InputArray kernel, OutputArray components, InputArray mask = noArray());
 
-     /** @brief Computes inverse \f$F^0\f$-transfrom.
 
-     @param components Input 32-bit float single channel array for the components.
 
-     @param kernel Kernel used for processing. Function `ft::createKernel` can 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-transform.
 
-      */
 
-     CV_EXPORTS_W void FT02D_inverseFT(InputArray components, InputArray kernel, OutputArray output, int width, int height);
 
-     /** @brief Computes \f$F^0\f$-transfrom and inverse \f$F^0\f$-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-transfrom and inverse F-transfotm in one step. It is fully sufficient and optimized for `cv::Mat`.
 
-     */
 
-     CV_EXPORTS_W void FT02D_process(InputArray matrix, InputArray kernel, OutputArray output, InputArray mask = noArray());
 
-     /** @brief Computes \f$F^0\f$-transfrom and inverse \f$F^0\f$-transfrom at once and return state.
 
-     @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.
 
-     @param maskOutput Mask after one iteration.
 
-     @param firstStop If **true** function returns -1 when first problem appears. In case of `false` the process is completed and summation of all problems returned.
 
-     This function computes iteration of F-transfrom and inverse F-transfotm and handle image and mask change. The function is used in `ft::inpaint` function.
 
-     */
 
-     CV_EXPORTS_W int FT02D_iteration(InputArray matrix, InputArray kernel, OutputArray output, InputArray mask, OutputArray maskOutput, bool firstStop);
 
-     /** @brief Sligtly less accurate version of \f$F^0\f$-transfrom computation optimized for higher speed. The methods counts with linear basic function.
 
-     @param matrix Input 3 channels matrix.
 
-     @param radius Radius of the `ft::LINEAR` basic function.
 
-     @param output Output array.
 
-     This function computes F-transfrom and inverse F-transfotm using linear basic function in one step. It is ~10 times faster than `ft::FT02D_process` method.
 
-     */
 
-     CV_EXPORTS_W void FT02D_FL_process(InputArray matrix, const int radius, OutputArray output);
 
-     /** @brief Sligtly less accurate version of \f$F^0\f$-transfrom computation optimized for higher speed. The methods counts with linear basic function.
 
-     @param matrix Input 3 channels matrix.
 
-     @param radius Radius of the `ft::LINEAR` basic function.
 
-     @param output Output array.
 
-     This function computes F-transfrom and inverse F-transfotm using linear basic function in one step. It is ~9 times faster then `ft::FT02D_process` method and more accurate than `ft::FT02D_FL_process` method.
 
-     */
 
-     CV_EXPORTS_W void FT02D_FL_process_float(InputArray matrix, const int radius, OutputArray output);
 
-     //! @}
 
- }
 
- }
 
- #endif // __OPENCV_FUZZY_F0_MATH_H__
 
 
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