Murtaja Ali Saare
Universiti Utara Malaysia

Published : 4 Documents Claim Missing Document
Claim Missing Document

Found 1 Documents
Journal : Indonesian Journal of Electrical Engineering and Computer Science

A hybrid de-noising method for mammogram images Rashid Mehmood Gondal; Saima Anwar Lashari; Murtaja Ali Saare; Sari Ali Sari
Indonesian Journal of Electrical Engineering and Computer Science Vol 21, No 3: March 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v21.i3.pp1435-1443


In general, mammogram images contaminated with noise which directly affect images 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, global unsymmetrical trimmed median filter (GUTM) is applied to de-noise image. Experimental results prove that proposed method work well for mammogram images. Hence, the study provided an alternative method for denoising mammogram images.