Contrast enhancement of mammographic images using wavelet transform

Mammography is the most effective method for the early diagnosis and treatment of breast Cancer diseases. However, data sets collected by image sensors are generally contaminated by noise. This ensures the need for image enhancement to aid interpretation. This paper introduces an efficient enhancement algorithm of digital mammograms based on wavelet analysis and modified mathematical morphology. In this proposed method, we adopt wavelet-based level dependent thresholding algorithm and modified mathematical morphology algorithm to increase the contrast in mammograms to ease extraction of suspicious regions known as regions of interest (ROIs). Experimental results show that the proposed algorithm gives significantly superior image quality and better Contrast Improvement Index (CII). Here, to prove the efficiency of this method, we have compared this with various well-known algorithms like VisuShrink and NormalShrink.