Breast cancer is one of the leading causes of women mortality in the world. Mammography has been proved to be the primary radiologic procedure for the early detection of breast cancer. The two main indicators of breast cancer in a mammogram are the presence of a tumor mass and the presence of clustered microcalcifications (MCs). In order to aid radiologists several researchers have developed computer aided diagnosis (CAD) schemes. In this paper a new scheme based on orthogonal polynomials model (OPM) has been proposed and same scheme is applied for the identification of MCs in x-ray mammograms. Experimental results on both digitized mammogram images from the Mammographic Image Analysis Society (MIAS) database and digital mammograms from local database are presented to demonstrate the effectiveness of the proposed method.
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