A Region Based Segmentation Approach in Binary Image Basedon Cellular Automata

Segmentation of an image is one of the most difficult processes in the image processing. In this paper we describe an algorithm for region based image segmentation of N- dimensional images using cellular automata. A region-based method usually proceeds as follows: the image is partitioned into connected regions by grouping neighboring pixels of similar intensity levels. Adjacent regions are then merged under some criterion involving perhaps homogeneity or sharpness of region boundaries. The Cellular automata paradigm is considered as a unifying method for image segmentation.