Mammogram image enhancement based a two stage denoising filter and contrst limited adaptive histogram equalization

Digital mammography proved its efficacy in the diagnosis of breast cancer as an adequate and easy tool in detection tumors in their early stages. Mammograms have useful information on cancer symptoms such as micro calcifications and masses, which are difficult to identify because mammograms images s...

Full description

Saved in:

Bibliographic Details
Main Author:	Hasan Abboodi, Chasib
Format:	Thesis
Language:	English
Published:	2014
Subjects:	RG Gynecology and obstetrics
Online Access:	http://eprints.utm.my/id/eprint/48523/1/ChasibHasanAbboodiMFC2014.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-utm-ep.48523
record_format	uketd_dc
spelling	my-utm-ep.485232017-07-27T03:52:18Z Mammogram image enhancement based a two stage denoising filter and contrst limited adaptive histogram equalization 2014 Hasan Abboodi, Chasib RG Gynecology and obstetrics Digital mammography proved its efficacy in the diagnosis of breast cancer as an adequate and easy tool in detection tumors in their early stages. Mammograms have useful information on cancer symptoms such as micro calcifications and masses, which are difficult to identify because mammograms images suffer from some defects such as high noise, low-contrast, blur and fuzzy. In addition, mammography has major problem due to high breast density that obscures the mammographic image leading to more difficulty in differentiating between normal dense tissue and cancerous tissue. Therefore, for accurate identification and early diagnosis of breast cancer, mammograms images must be enhanced. Image enhancement commonly focuses on enhancing image details and removing noises. Using image processing techniques for mammogram images help to differentiate a special data that contain specific features of the tumors, which could be helpful in classifying benign and malignant tumors. This research focuses on salt and pepper noise remove and image enhancement to increase the mammography quality and improve early breast cancer detection. To achieve this purpose, a special technique is used that includes two stages image denoising base filtering and one stage for contrast enhancement. The filtering stages include the using of median and wiener filters. The contrast enhancement stage uses contrast limited adaptive histogram equalization (CLAHE). The evaluation of the performance is measured by PSNF and MSE for the filters and by contrast histogram for the CLAHE. The results show better performance of the research technique compared with other methods in terms of high PSNR(47.4750) and low MSE(1.1630). For future work, the technique will be evaluated with other type of noise. 2014 Thesis http://eprints.utm.my/id/eprint/48523/ http://eprints.utm.my/id/eprint/48523/1/ChasibHasanAbboodiMFC2014.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:82159?queryType=vitalDismax&query=Mammogram+image+enhancement+based+a+two+stage+denoising+filter+and+contrst+limited+adaptive+histogram+equalization&public=true masters Universiti Teknologi Malaysia, Faculty of Computing Faculty of Computing
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	RG Gynecology and obstetrics
spellingShingle	RG Gynecology and obstetrics Hasan Abboodi, Chasib Mammogram image enhancement based a two stage denoising filter and contrst limited adaptive histogram equalization
description	Digital mammography proved its efficacy in the diagnosis of breast cancer as an adequate and easy tool in detection tumors in their early stages. Mammograms have useful information on cancer symptoms such as micro calcifications and masses, which are difficult to identify because mammograms images suffer from some defects such as high noise, low-contrast, blur and fuzzy. In addition, mammography has major problem due to high breast density that obscures the mammographic image leading to more difficulty in differentiating between normal dense tissue and cancerous tissue. Therefore, for accurate identification and early diagnosis of breast cancer, mammograms images must be enhanced. Image enhancement commonly focuses on enhancing image details and removing noises. Using image processing techniques for mammogram images help to differentiate a special data that contain specific features of the tumors, which could be helpful in classifying benign and malignant tumors. This research focuses on salt and pepper noise remove and image enhancement to increase the mammography quality and improve early breast cancer detection. To achieve this purpose, a special technique is used that includes two stages image denoising base filtering and one stage for contrast enhancement. The filtering stages include the using of median and wiener filters. The contrast enhancement stage uses contrast limited adaptive histogram equalization (CLAHE). The evaluation of the performance is measured by PSNF and MSE for the filters and by contrast histogram for the CLAHE. The results show better performance of the research technique compared with other methods in terms of high PSNR(47.4750) and low MSE(1.1630). For future work, the technique will be evaluated with other type of noise.
format	Thesis
qualification_level	Master's degree
author	Hasan Abboodi, Chasib
author_facet	Hasan Abboodi, Chasib
author_sort	Hasan Abboodi, Chasib
title	Mammogram image enhancement based a two stage denoising filter and contrst limited adaptive histogram equalization
title_short	Mammogram image enhancement based a two stage denoising filter and contrst limited adaptive histogram equalization
title_full	Mammogram image enhancement based a two stage denoising filter and contrst limited adaptive histogram equalization
title_fullStr	Mammogram image enhancement based a two stage denoising filter and contrst limited adaptive histogram equalization
title_full_unstemmed	Mammogram image enhancement based a two stage denoising filter and contrst limited adaptive histogram equalization
title_sort	mammogram image enhancement based a two stage denoising filter and contrst limited adaptive histogram equalization
granting_institution	Universiti Teknologi Malaysia, Faculty of Computing
granting_department	Faculty of Computing
publishDate	2014
url	http://eprints.utm.my/id/eprint/48523/1/ChasibHasanAbboodiMFC2014.pdf
_version_	1747817411189407744

Mammogram image enhancement based a two stage denoising filter and contrst limited adaptive histogram equalization

Similar Items