Mammographic image enhancement using wavelet transform and homomorphic filter

Iranian Journal of Physics Research. 2015;15(3):305-310

 

Journal Homepage

Journal Title: Iranian Journal of Physics Research

ISSN: 1682-6957 (Print); 2345-3664 (Online)

Publisher: Isfahan University of Technology

Society/Institution: Physics Society of Iran

LCC Subject Category: Science: Physics

Country of publisher: Iran, Islamic Republic of

Language of fulltext: Persian, English

Full-text formats available: PDF

 

AUTHORS

F Majidi ( Department of Engineering, Science and Research Branch, Islamic Azad University, Yazd )
A M Latif ( Department Of Computer Engineering, Yazd University )
J Malakouti ( Faculty of Nursing and Midwifery, Tabriz University of Medical Sciences )
H Kasayi ( Material Research School, Nuclear Science and Technology Research Institute, AEOI )

EDITORIAL INFORMATION

Peer review

Editorial Board

Instructions for authors

Time From Submission to Publication: 30 weeks

 

Abstract | Full Text

Mammography is the most effective method for the early diagnosis of breast cancer diseases. As mammographic images contain low signal to noise ratio and low contrast, it becomes too difficult for radiologists to analyze mammogram. To deal with the above stated problems, it is very important to enhance the mammographic images using image processing methods. This paper introduces a new image enhancement approach for mammographic images which uses the modified mathematical morphology, wavelet transform and homomorphic filter to suppress the noise of images. For performance evaluation of the proposed method, contrast improvement index (CII) and edge preservation index (EPI) are adopted. Experimental results on mammographic images from Pejvak Digital Imaging Center (PDIC) show that the proposed algorithm improves the two indexes, thereby achieving the goal of enhancing mammographic images.