Abstract
The current study presents a novel algorithm for enhancement and visibility of low contrast features in breast mammograms. The contrast of the mammograms is enhanced by the use of mathematical morhphology and wavelet denoising with an emphasis on differentiating edge pixels from noise to enhance visible diagnostic signs like masses and micro-calcification. We present results of our proposed method and compare it with 3 other contrast enhancement algorithms based on quantitative metrics of contrast improvement index (CII) and edge preservation index (EPI), and radiological evaluation. Our results based on these metrics indicate that our method outperforms the 3 other approaches compared. The results of the clinical evaluation are in good agreement with the comparative analyses based on CII and EPI.
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