Mammographic image enhancement using wavelet transform and homomorphic filter

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 enhan...

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Main Authors: F Majidi, A M Latif, J Malakouti, H Kasayi
Format: Article
Language:English
Published: Isfahan University of Technology 2015-12-01
Series:Iranian Journal of Physics Research
Subjects:
Online Access:http://ijpr.iut.ac.ir/browse.php?a_code=A-10-1-730&slc_lang=en&sid=1
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author F Majidi
A M Latif
J Malakouti
H Kasayi
author_facet F Majidi
A M Latif
J Malakouti
H Kasayi
author_sort F Majidi
collection DOAJ
description 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.
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spelling doaj.art-af9ef1fa211f4e2c859672f8fe4dfc502022-12-22T00:19:50ZengIsfahan University of TechnologyIranian Journal of Physics Research1682-69572015-12-01153305310Mammographic image enhancement using wavelet transform and homomorphic filterF Majidi0A M Latif1J Malakouti2H Kasayi3 Department of Engineering, Science and Research Branch, Islamic Azad University, Yazd Department Of Computer Engineering, Yazd University Faculty of Nursing and Midwifery, Tabriz University of Medical Sciences Material Research School, Nuclear Science and Technology Research Institute, AEOI 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.http://ijpr.iut.ac.ir/browse.php?a_code=A-10-1-730&slc_lang=en&sid=1mammographic images image processing wavelet transform homomorphic filter.
spellingShingle F Majidi
A M Latif
J Malakouti
H Kasayi
Mammographic image enhancement using wavelet transform and homomorphic filter
Iranian Journal of Physics Research
mammographic images
image processing
wavelet transform
homomorphic filter.
title Mammographic image enhancement using wavelet transform and homomorphic filter
title_full Mammographic image enhancement using wavelet transform and homomorphic filter
title_fullStr Mammographic image enhancement using wavelet transform and homomorphic filter
title_full_unstemmed Mammographic image enhancement using wavelet transform and homomorphic filter
title_short Mammographic image enhancement using wavelet transform and homomorphic filter
title_sort mammographic image enhancement using wavelet transform and homomorphic filter
topic mammographic images
image processing
wavelet transform
homomorphic filter.
url http://ijpr.iut.ac.ir/browse.php?a_code=A-10-1-730&slc_lang=en&sid=1
work_keys_str_mv AT fmajidi mammographicimageenhancementusingwavelettransformandhomomorphicfilter
AT amlatif mammographicimageenhancementusingwavelettransformandhomomorphicfilter
AT jmalakouti mammographicimageenhancementusingwavelettransformandhomomorphicfilter
AT hkasayi mammographicimageenhancementusingwavelettransformandhomomorphicfilter