Abstract
AbstractEnhancing features of mammographic image assists radiologists in the early detection of breast cancer. In this paper, an enhancement technique using selected modulus maxima of the Contourlet transform is employed to enhance the microcalcification features in mammographic image while simultaneously reducing image noise. Strong edge information corresponding to relevant features was retained based on a parent child relationship among contourlet coefficients at various levels. Simulations were carried out to examine the utility of the proposed technique in mammographic image enhancement. The mini – MIAS database was employed to test the accuracy of proposed method. Contrast improvement index, Peak Signal to Noise Ratio, Target to Background Contrast ratio and Tenengrad Criterion were considered for a evaluating the performance of the proposed methods.KeywordsMammogramBreast CancerModulus-MaximaEnhancementContourlet Transform
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