Iterative Approximation of Empirical Grey-Level Distributions for Precise Segmentation of Multimodal Images

Iterative Approximation of Empirical Grey-Level Distributions for Precise Segmentation of Multimodal Images

<p/> <p>A new algorithm for segmenting a multimodal grey-scale image is proposed. The image is described as a sample of a joint Gibbs random field of region labels and grey levels. To initialize the model, a mixed multimodal empirical grey-level distribution is approximated with linear c...

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Bibliographic Details
Main Authors: Gimel&apos;farb Georgy, El-Baz Ayman, Farag Aly A
Format: Article
Language:English
Published: SpringerOpen 2005-01-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
density estimation
image segmentation
expectation maximization
Online Access:http://dx.doi.org/10.1155/ASP.2005.1969

Internet

http://dx.doi.org/10.1155/ASP.2005.1969

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