Auto-Identification of Pectoral Muscle Region in Digital Mammogram Images

—For the time being Mammography is the most effective imaging modality used by radiologists for screening of breast tumor. Resulting precise, robust and efficient breast segmentation technique still remains a challenging problem in digital mammography. Extraction of the pectoral muscle and breast region is an essential pre-processing step in the process of computer-aided detection. Primarily it allows the search for irregularities to be eliminated from the region of the breast tissue without undue influence from the background of the mammogram. This paper represents a new automated technique for segmenting a digital mammogram image and identifies the region of pectoral muscle by using a bit depth and edge processes techniques.