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Communication Dans Un Congrès Année : 2009

A new Bayesian approach to textured image segmentation : turbo segmentation

Résumé

We consider the problem of semi-supervised segmentation of textured images. In this paper, we propose a new Bayesian framework by modeling two-dimensional textured images as the concatenation of two one-dimensional hidden Markov autoregressive models for the lines and the columns, respectively. A new segmentation algorithm, which is similar to turbo decoding in the context of error-correcting codes, is obtained based on a factor graph approach. The proposed method estimates the unknown parameters using the Expectation-Maximization algorithm
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Dates et versions

hal-01365914 , version 1 (13-09-2016)

Identifiants

  • HAL Id : hal-01365914 , version 1

Citer

Frederic Lehmann. A new Bayesian approach to textured image segmentation : turbo segmentation. EUSIPCO 2009 : 17th European Signal Processing Conference, Aug 2009, Glasgow, United Kingdom. pp.1523 - 1527. ⟨hal-01365914⟩
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