International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 43 - Number 6 |
Year of Publication: 2012 |
Authors: Sonali Bhadoria, Yash Bharwani, Anikta Pati |
10.5120/6104-8192 |
Sonali Bhadoria, Yash Bharwani, Anikta Pati . Removal of Pectoral Muscle in Mammograms using Statistical Parameters. International Journal of Computer Applications. 43, 6 ( April 2012), 1-4. DOI=10.5120/6104-8192
The image segmentation is the basic step in the detection of tumors in various medical images. Specially when used for CAD system. Presence of pectoral muscles gives very false results in the detection process. Removing pectoral muscles is a very important issue in Mammograms. This paper address this issues of Pectorial muscles removal from the mammogram image. We have extracted various features of the mammogram images and their ranges to remove the unwanted part of pectoral muscles which remains even after the segmentation. This method is very simple and yet very effective to achieve the exact ROI.