Simultaneous restoration and segmentation using cluster approximations to Markov random fields

Chi-hsin Wu; Peter C. Doerschuk

doi:10.1117/12.216349

11 August 1995 Simultaneous restoration and segmentation using cluster approximations to Markov random fields

Chi-hsin Wu, Peter C. Doerschuk

Proceedings Volume 2568, Neural, Morphological, and Stochastic Methods in Image and Signal Processing; (1995) https://doi.org/10.1117/12.216349
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

Abstract

We describe a Bayesian estimator for simultaneous restoration and segmentation of images. The estimator is based on a pixel-line Markov random field and is computed by using an efficient approximation. The approximation is based on locality of interactions within the Markov random field. An example, the simultaneous restoration and segmentation of a medical tomographic image, is described.

Citation Download Citation

Chi-hsin Wu and Peter C. Doerschuk "Simultaneous restoration and segmentation using cluster approximations to Markov random fields", Proc. SPIE 2568, Neural, Morphological, and Stochastic Methods in Image and Signal Processing, (11 August 1995); https://doi.org/10.1117/12.216349

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