scbc_repos/cv/include/opencv2/fuzzy/fuzzy_image.hpp

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#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-bit 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-bit 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:
        -   `ft::LINEAR` Linear basic function.
    @param algorithm Algorithm could be one of the following:
        -   `ft::ONE_STEP` One step algorithm.
        -   `ft::MULTI_STEP` This algorithm automaticaly increases radius of the basic function.
        -   `ft::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__