Open AccessJournal Article
Image segmentation and matting based on the extended distance transform
P. Łagodziński,B. Smołka +1 more
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This article is published in Journal of Medical Informatics and Technologies.The article was published on 2008-01-01 and is currently open access. It has received 3 citations till now. The article focuses on the topics: Scale-space segmentation & Image segmentation.read more
Citations
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Journal ArticleDOI
Application of the Extended Distance Transformation in digital image colorization
TL;DR: 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, and is able to produce visually pleasing colorization results promptly after providing the color information.
Bulanik Girdili Poisson Tibbi İmge Örgüleme Poisson Medical Image Matting with Fuzzy Input
TL;DR: Fuzziness is included to the input data as a percent value and a generated result is compared with the classical Poisson image matting approach.
Proceedings ArticleDOI
Poisson medical image matting with fuzzy input
Kamil Aktas,Bekir Dizdaroglu +1 more
TL;DR: Fuzziness is included to the input data as a percent value and a generated result is compared with the classical Poisson image matting approach.
References
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Journal ArticleDOI
A Closed-Form Solution to Natural Image Matting
TL;DR: A closed-form solution to natural image matting that allows us to find the globally optimal alpha matte by solving a sparse linear system of equations and predicts the properties of the solution by analyzing the eigenvectors of a sparse matrix, closely related to matrices used in spectral image segmentation algorithms.
Journal ArticleDOI
Colorization using optimization
TL;DR: This paper presents a simple colorization method that requires neither precise image segmentation, nor accurate region tracking, and demonstrates that high quality colorizations of stills and movie clips may be obtained from a relatively modest amount of user input.
Proceedings ArticleDOI
A Bayesian approach to digital matting
TL;DR: This paper proposes a new Bayesian framework for solving the matting problem, i.e. extracting a foreground element from a background image by estimating an opacity for each pixel of the foreground element by using a maximum-likelihood criterion.
Journal ArticleDOI
Fast image and video colorization using chrominance blending
Liron Yatziv,Guillermo Sapiro +1 more
TL;DR: Based on the concepts of luminance-weighted chrominance blending and fast intrinsic distance computations, high-quality colorization results for still images and video are obtained at a fraction of the complexity and computational cost of previously reported techniques.
Proceedings ArticleDOI
Optimized Color Sampling for Robust Matting
Jue Wang,Michael Cohen +1 more
TL;DR: This work analyzes the weaknesses of previous matting approaches, proposes a new robust matting algorithm, and presents an extensive and quantitative comparison between the algorithm and a number of previous approaches in hopes of providing a benchmark for future matting research.