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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,
// 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 F0-transform.
@param matrix Input array.
@param kernel Kernel used for processing. Function **createKernel** can be used.
@param components Output 32-bit array for the components.
@param mask Mask can be used for unwanted area marking.
The function computes components using predefined kernel and mask.
@note
F-transform technique is described in paper @cite Perf:FT.
*/
CV_EXPORTS_AS(FT02D_components1) void FT02D_components(InputArray matrix, InputArray kernel, OutputArray components, InputArray mask);
/** @brief Computes components of the array using direct F0-transform.
@param matrix Input array.
@param kernel Kernel used for processing. Function **createKernel** can be used.
@param components Output 32-bit array for the components.
The function computes components using predefined kernel.
@note
F-transform technique is described in paper @cite Perf:FT.
*/
CV_EXPORTS_W void FT02D_components(InputArray matrix, InputArray kernel, OutputArray components);
/** @brief Computes inverse F0-transfrom.
@param components Input 32-bit single channel array for the components.
@param kernel Kernel used for processing. Function **createKernel** can be used.
@param output Output 32-bit array.
@param width Width of the output array.
@param height Height of the output array.
@note
F-transform technique is described in paper @cite Perf:FT.
*/
CV_EXPORTS_W void FT02D_inverseFT(InputArray components, InputArray kernel, OutputArray output, int width, int height);
/** @brief Computes F0-transfrom and inverse F0-transfrom at once.
@param matrix Input matrix.
@param kernel Kernel used for processing. Function **createKernel** can be used.
@param output Output 32-bit 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 **Mat**.
*/
CV_EXPORTS_AS(FT02D_process1) void FT02D_process(InputArray matrix, InputArray kernel, OutputArray output, InputArray mask);
/** @brief Computes F0-transfrom and inverse F0-transfrom at once.
@param matrix Input matrix.
@param kernel Kernel used for processing. Function **createKernel** can be used.
@param output Output 32-bit array.
This function computes F-transfrom and inverse F-transfotm in one step. It is fully sufficient and optimized for **Mat**.
*/
CV_EXPORTS_W void FT02D_process(InputArray matrix, InputArray kernel, OutputArray output);
/** @brief Computes F0-transfrom and inverse F0-transfrom at once and return state.
@param matrix Input matrix.
@param kernel Kernel used for processing. Function **createKernel** can be used.
@param output Output 32-bit 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 *inpaint* function.
*/
CV_EXPORTS_W int FT02D_iteration(InputArray matrix, InputArray kernel, OutputArray output, InputArray mask, OutputArray maskOutput, bool firstStop);
//! @}
}
}
#endif // __OPENCV_FUZZY_F0_MATH_H__
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