Abstract—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.

Index Terms—Mammographic images, segmentation, vector quantization

Dr.H.B.Kekre ¹Senior Professor, MPSTME, NMIMS University,Vile-Parle (w), Mumbai- 400056, India; (e-mail: hbkekre@yahoo.com).
Saylee M. Gharge², 2Ph.D. Scholar, MPSTME, NMIMS University, Lecturer, V.E.S.I.T, Mumbai-400071, India (e-mail:sayleegharge73@yahoo.co.in).
Tanuja K. Sarode³is ³Ph.D. Scholar, MPSTME, NMIMS University,Assistant Professor, TSEC, Mumbai-400050, India (e-mail:tanuja_0123@yahoo.com).

Cite: Dr.H.B.Kekre, Saylee M. Gharge and Tanuja K. Sarode, "Image Segmentation of Mammographic Images Using Kekre’S Proportionate Error Technique on Probability Images," International Journal  of  Computer  and
Electrical Engineering vol. 2, no. 6, pp. 1048-1052, 2010.