30 April 1992 Iterative Bayesian method for segmenting images that have undergone a gray-level degradation
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Abstract
We extend the MRF image model commonly employed in the Bayesian development of image segmentation procedures to include a degradation channel resulting in a 2D hidden Markov model as the basis for the segmentation problem. We solve the segmentation problem by deriving the expectation-maximization algorithm for the case where the 'hidden' Markov source is the 2-D MRF that generates a true scene and the degradation channel is an additive, memoryless, grey-level degradation process that produces the observed scene.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kurt R. Smith, Michael I. Miller, "Iterative Bayesian method for segmenting images that have undergone a gray-level degradation", Proc. SPIE 1611, Sensor Fusion IV: Control Paradigms and Data Structures, (30 April 1992); doi: 10.1117/12.57964; https://doi.org/10.1117/12.57964
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