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Image Segmentation refers to the process of partitioning the input image into several disjoint regions with similar characteristics such as intensity, color, and texture, shape etc. Semi supervised image segmentation is clustering the pixels of an image with some prior information or constraints. The Existing semi supervised method takes EM algorithm with mouse clicks as prior information. The drawback of EM algorithm is that it is prone to local maxima problem. Because of this reason thedoi:10.7763/ijet.2012.v4.496 fatcat:wh67y7fbf5bwpbyvgp3jaerat4