Title :
Application of the Gibbs distribution to image segmentation
Author :
Elliott, H. ; Derin, H. ; Cristi, R. ; Geman, D.
Author_Institution :
University of Massachusetts, Amherst, MA
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 :
Application software; Dynamic programming; Heuristic algorithms; Image segmentation; Lattices; Layout; Markov random fields; Particle measurements; Probability distribution; Tellurium;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '84.
DOI :
10.1109/ICASSP.1984.1172637
