DocumentCode
600108
Title
Band-limited histogram equalization for mammograms contrast enhancement
Author
Elsawy, N. ; Sayed, Mohammed S. ; Farag, Fathi ; Gouhar, G.K.
Author_Institution
Dept. of Electron. & Commun. Eng., Zagazig Univ., Zagazig, Egypt
fYear
2012
fDate
20-22 Dec. 2012
Firstpage
154
Lastpage
157
Abstract
Early detection of breast cancer is the most effective method of reducing mortality. Mammography is at present the best available technique for early detection of breast cancer. The most common breast abnormalities that may indicate breast cancer are masses and calcifications. In mammograms, cancer is not easily detected by the eyes because of the bad imaging quality. To improve the correct diagnosis rate of cancer, image-enhancement techniques are often used to enhance the image and aid the radiologists. In this paper, we introduce a new algorithm for mammograms contrast enhancement. The proposed algorithm performs band-limited histogram equalization (BLHE) for certain intensity band of the mammogram histogram. According to the opinion of radiologist, the proposed algorithm showed promising performance when applied on several mammography images. In addition, the proposed algorithm was combined with a wavelet-based contrast enhancement method to further improve its performance.
Keywords
biological tissues; cancer; diagnostic radiography; image enhancement; mammography; medical image processing; band-limited histogram equalization; breast cancer; calcification; diagnosis rate; early detection; image enhancement technique; mammogram contrast enhancement; radiologists; wavelet-based contrast enhancement; Breast cancer; Breast tissue; Histograms; Signal processing algorithms; Wavelet domain; Wavelet transforms; Breast Cancer; Contrast Enhancement; Histogram Equalization; Mammograms;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Engineering Conference (CIBEC), 2012 Cairo International
Conference_Location
Giza
ISSN
2156-6097
Print_ISBN
978-1-4673-2800-5
Type
conf
DOI
10.1109/CIBEC.2012.6473335
Filename
6473335
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