In this paper we present a novel colorization scheme that takes advantage of the modified morphological distance transform to propagate the color, scribbled by a user on the grayscale image First, based on the scribbled image, the topological distance values are computed for each image pixel, describing its distance to the inserted color markers These values are then complemented with the structural information and luminance changes derived from the original grayscale image The distances are then used along with gradient based features to reproduce original image structures while propagating the new colors obtained during the additive color blending process Extensive experiments performed on various kinds of natural images demonstrated the effectiveness of the proposed colorization method They also showed that the main advantage of the presented algorithm is its computational speed and ability to produce visually pleasing colorization results promptly after providing the color information

Application of the Extended Distance Transformation in digital image colorization

In this study, fuzzy input data has been considered for processing of Poisson medical image matting. Image matting is actually known as an image segmentation approach. But, fine detail information can be extracted from the background of the given image in the image matting. Although global Poisson image matting approach is applied to smoothed images, successful matting results can be obtained from medical images that may not be contain more fine detail information. In this study, fuzziness is included to the input data as a percent value and a generated result is compared with the classical Poisson image matting approach.

Bulanik Girdili Poisson Tibbi İmge Örgüleme Poisson Medical Image Matting with Fuzzy Input

Poisson medical image matting with fuzzy input

/pdf/image-segmentation-and-matting-based-on-the-extended-3nnkr34qmj.pdf

Image segmentation and matting based on the extended distance transform

http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.baztech-article-PWA4-0007-0004/c/2007_v11_Lagodzinski.pdf

P. Łagodziński

Papers

Image segmentation and matting based on the extended distance transform

Medical image colorization