Abstract
Computer Aided Detection (CAD) increases the early detection of breast abnormalities in digital mammogram. Digital mammogram is the low energy and efficient screening tool to detect the breast abnormalities detective of breast abnormalities is carried out by using digital mammogram. The micro calcification and masses are the important sign to detect the breast abnormalities due to low contrast nature of these images, it is difficult to detect. This research paper describes a novel method for detection of breast abnormalities using image processing techniques are 1. Shape extraction 2. Boundary of mass or lesion So that signatures can be assigned for detection of breast abnormalities on masses and micro calcification of breast. The main aim of this paper to reduces the mortality rate and improve the human awareness.
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