// Copyright (C) 2006 Davis E. King (davis@dlib.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" #include "../image_processing/generic_image.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 == an image object that implements the interface defined in dlib/image_processing/generic_image.h - out_image_type == an image object that implements the interface defined in dlib/image_processing/generic_image.h - Let pixel_type be the type of pixel in either input or output images, then we must have: - pixel_traits::has_alpha == false - pixel_traits::is_unsigned == true - For the input image pixel type, we have the additional requirement that: - pixel_traits::max() <= 65535 ensures - #out_img == the histogram equalized version of in_img - #out_img.nc() == in_img.nc() - #out_img.nr() == in_img.nr() !*/ template < typename image_type > void equalize_histogram ( image_type& img ); /*! requires - it is valid to call equalize_histogram(img,img) ensures - calls equalize_histogram(img,img); !*/ // --------------------------------------------------------------------------------------- template < typename in_image_type, long R, long C, typename MM > void get_histogram ( const in_image_type& in_img, matrix& hist ); /*! requires - in_image_type == an image object that implements the interface defined in dlib/image_processing/generic_image.h - Let pixel_type denote the type of pixel in in_img, then we must have: - pixel_traits::is_unsigned == true - pixel_traits::max() <= 65535 - hist must be capable of representing a column vector of length pixel_traits::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::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_