Suggested Algorithm for Images Segmentation by Using Markov Random Field

In this research, Markov Random Fields Models have been used in images processing, included algorithm suggested for image segmentation tha depends on the triple mixture normal distribution. Two ways had been demonstrated for this segmentation. The first one K-Means unsupervised technique and the other used Maximum A Posterior, and to be generalized to fourfold and fivefold mixture normal distribution, then to n mixture normal distribution. Matlab Package version (7.0) was used for writing the programs of the algorithms.