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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-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 void createKernel(cv::InputArray A, cv::InputArray B, cv::OutputArray kernel, const int chn = 1);

    /** @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 void createKernel(int function, int radius, cv::OutputArray kernel, const int chn = 1);

    /** @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 void inpaint(const cv::Mat &image, const cv::Mat &mask, cv::Mat &output, int radius = 2, int function = ft::LINEAR, int algorithm = ft::ONE_STEP);

    /** @brief Image filtering
    @param image Input image.
    @param kernel Final 32-b kernel.
    @param output Output 32-bit image.

    Filtering of the input image by means of F-transform.
    */
    CV_EXPORTS void filter(const cv::Mat &image, const cv::Mat &kernel, cv::Mat &output);

    //! @}
}
}

#endif // __OPENCV_FUZZY_IMAGE_H__