Application of the Gibbs distribution to image segmentation
Published 24 March 2005
H. Elliott, Haluk Derin, R. Cristi, Donald Geman
Citations55
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TL;DR
Making use of Gibbs distribution models of Markov random fields a dynamic programming based segmentation algorithm is developed and examples are given.
Abstract
This paper presents a new statistical approach to image segmentation. Making use of Gibbs distribution models of Markov random fields a dynamic programming based segmentation algorithm is developed. The algorithm is described in detail and examples are given.
Keywords
Computer Science
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