Image Segmentation of Mammographic Images Using Kekre’S Proportionate Error Technique on Probability Images
Hemant B. Kekre, Saylee Gharge, Tanuja Sarode · International Journal of Computer and Electrical Engineering · 2010
Mammography is well known method for detection of breast tumors.Early detection and removal of the primary tumor is an essential and effective method to enhance survival rate and reduce mortality.In this paper, proposed algorithm uses probability of mammographic image as input for vector quantization .For region forming Kekre's Proportionate Error (KPE) algorithm is used and codebook of size 128 is formed .Further this 128 clusters were used for region merging using KPE algorithm for reclustering .To separate tumor ,post processing is done by morphological operations.For this tumor sectional area is calculated and center point is compared with LBG algorithm for segmentation of mammographic images.