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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_IMAGE_H__
#define __OPENCV_FUZZY_IMAGE_H__
#include "types.hpp"
#include "opencv2/core.hpp"
namespace cv
{
namespace ft
{
//! @addtogroup f_image
//! @{
/** @brief Creates kernel from basic functions.
@param A Basic function used in axis **x**.
@param B Basic function used in axis **y**.
@param kernel Final 32-b kernel derived from **A** and **B**.
@param chn Number of kernel channels.
The function creates kernel usable for latter fuzzy image processing.
*/
CV_EXPORTS_AS(createKernel1) void createKernel(InputArray A, InputArray B, OutputArray kernel, const int chn);
/** @brief Creates kernel from general functions.
@param function Function type could be one of the following:
- **LINEAR** Linear basic function.
@param radius Radius of the basic function.
@param kernel Final 32-b kernel.
@param chn Number of kernel channels.
The function creates kernel from predefined functions.
*/
CV_EXPORTS_W void createKernel(int function, int radius, OutputArray kernel, const int chn);
/** @brief Image inpainting
@param image Input image.
@param mask Mask used for unwanted area marking.
@param output Output 32-bit image.
@param radius Radius of the basic function.
@param function Function type could be one of the following:
- **LINEAR** Linear basic function.
@param algorithm Algorithm could be one of the following:
- **ONE_STEP** One step algorithm.
- **MULTI_STEP** Algorithm automaticaly increasing radius of the basic function.
- **ITERATIVE** Iterative algorithm running in more steps using partial computations.
This function provides inpainting technique based on the fuzzy mathematic.
@note
The algorithms are described in paper @cite Perf:rec.
*/
CV_EXPORTS_W void inpaint(InputArray image, InputArray mask, OutputArray output, int radius, int function, int algorithm);
/** @brief Image filtering
@param image Input image.
@param kernel Final 32-bit kernel.
@param output Output 32-bit image.
Filtering of the input image by means of F-transform.
*/
CV_EXPORTS_W void filter(InputArray image, InputArray kernel, OutputArray output);
//! @}
}
}
#endif // __OPENCV_FUZZY_IMAGE_H__
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