Title :
On the effects of the Gibbs-Markov model parameters on MAP region segmentation using dynamic programming
Author :
Farag, My A. ; Yeap, Yuen-Pin
Author_Institution :
Dept. of Eng. Math. & Comput. Sci., Louisville Univ., KY, USA
Abstract :
The authors study the effect of clique potentials in the Gibbs-Markov model equations when used in maximum a posteriori (MAP) image segmentation of textured images. The focus is on the simple Derin-Elliott model in which the low level process consists of a constant gray level with additive Gaussian noise with zero mean and variance, and the high level process is a second order Gibbs-Markov random fields. Experimental results are presented
Keywords :
Markov processes; dynamic programming; image segmentation; image texture; Derin-Elliott model; Gibbs-Markov model; additive Gaussian noise; constant gray level; dynamic programming; image segmentation; low level process; maximum a posteriori; random fields; textured images; Computer science; Dynamic programming; Electronic mail; Image segmentation; Labeling; Lattices; Layout; Mathematics; Pixel; State-space methods;
Conference_Titel :
Systems, Man and Cybernetics, 1992., IEEE International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-0720-8
DOI :
10.1109/ICSMC.1992.271556
