Mammogram Enhancement Using Anisotropic Diffusion and Weighted K-Means Clustering

Abstract

 Abstract—Mammogram is used to diagnose the breast cancer. However the region in digital mammograms are usually noisy and have low contrast, they might affect the interpretation. This study proposed a combination of an anisotropic diffusion technique and a weighted K-means clustering. The results from the real mammogram presented that the proposed method succeeded to improve the performance of Original Anisotropic Diffusion method to reduce the noise and enhance the image contrast.