Mammography is one of the available techniques for the early detection of masses or abnormalities which

is related to breast cancer. Breast Cancer is the uncontrolled of cells in the breast region, which may affect

the other parts of the body. The most common abnormalities that might indicate breast cancer are masses

and calcifications. Masses appear in a mammogram as fine, granular clusters and also masses will not have

sharp boundaries, so often difficult to identify in a raw mammogram. Digital Mammography is one of the

best available technologies currently being used for the early detection of breast cancer. Computer Aided

Detection System has to be developed for the detection of masses and calcifications in Digital

Mammogram, which acts as a secondary tool for the radiologists for diagnosing the breast cancer. In this

paper, we have proposed a secondary tool for the radiologists that help them in the segmentation and

feature extraction process.