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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.
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- // * 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
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- // loss of use, data, or profits; or business interruption) however caused
- // and on any theory of liability, whether in contract, strict liability,
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- // 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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