| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121 | /*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,// 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_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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