Fractional Order Savitzky-Golay Differentiator based Approach for Mammogram Enhancement

Abstract

Mammogram enhancement plays vital role in detection of abnormality present in low contrast mammogram images. This paper explores a new application of Fractional Order Savitzky-Golay(SG) Differentiator for mammogram enhancement. It encompasses a new approach for low contrast mammogram image enhancement based on the concept of convolution. The enhancement is performed by three different test cases. The performance of proposed approaches is validated with quantitative as well as visual results. The result shows that the proposed algorithm produces better results. The effect of size of differentiator and order of derivative has also been analyzed.