| 123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124 | /*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_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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