A hybrid de-noising method for mammogram images

Abstract

In general, mammogram images are contaminated with noise which directly affects image quality. Several methods have been proposed to de-noise these images, however, there is always a risk of losing valuable information. In order to overcome the loss of information, the present study proposed a Hybrid denoising method for mammogram images. The proposed hybrid method works in two steps: Firstly, preprocessing with mathematical morphology was applied for image enhancement. Secondly, a global unsymmetrical trimmed median filter (GUTM) is applied to a de-noise image. Experimental results prove that the proposed method works well for mammogram images. Hence, the study provided an alternative method for denoising mammogram images.