dlib C++ Library - equalize_histogram_abstract.h

    // Copyright (C) 2006  Davis E. King (davisking@users.sourceforge.net)
    // License: Boost Software License   See LICENSE.txt for the full license.
    #undef DLIB_EQUALIZE_HISTOGRAm_ABSTRACT_
    #ifdef DLIB_EQUALIZE_HISTOGRAm_ABSTRACT_

    #include "../pixel.h"
    #include "../matrix.h"

    namespace dlib
    {

    // ---------------------------------------------------------------------------------------

        template <
            typename in_image_type,
            typename out_image_type
            >
        void equalize_histogram (
            const in_image_type& in_img,
            out_image_type& out_img
        );
        /*!
            requires
                - in_image_type == is an implementation of array2d/array2d_kernel_abstract.h
                - out_image_type == is an implementation of array2d/array2d_kernel_abstract.h
                - pixel_traits<typename in_image_type::type>::has_alpha == false
                - pixel_traits<typename out_image_type::type>::has_alpha == false
            ensures
                - #out_img == the histogram equalized version of in_img
                - #out_img.nc() == in_img.nc()
                - #out_img.nr() == in_img.nr()
        !*/

    // ---------------------------------------------------------------------------------------

        template <
            typename in_image_type,
            long R,
            long C,
            typename MM
            >
        void get_histogram (
            const in_image_type& in_img,
            matrix<unsigned long,R,C,MM>& hist
        );
        /*!
            requires
                - in_image_type == is an implementation of array2d/array2d_kernel_abstract.h
                - hist must be capable of representing a column vector of length
                  pixel_traits<typename in_image_type>::max(). I.e. if R and C are nonzero
                  then they must be values that don't conflict with the previous sentence.
            ensures
                - #hist.size() == pixel_traits<typename in_image_type>::max()
                - #hist.nc() == 1 || #hist.nr() == 1 (i.e. hist is either a row or column vector)
                - #hist == the histogram for in_img.  I.e. it is the case that for all
                  valid i:
                    - hist(i) == the number of times a pixel with intensity i appears
                      in in_img
        !*/

    // ---------------------------------------------------------------------------------------

    }

    #endif // DLIB_EQUALIZE_HISTOGRAm_ABSTRACT_