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Robust Contrast Enhancement for Digital Mammography
Author(s) -
Norh`ene GargouriBenAyed,
Alima Damak Masmoudi,
Dorra Sellami Masmoudi
Publication year - 2012
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/8918-2976
Subject(s) - computer science , contrast (vision) , digital mammography , mammography , contrast enhancement , medical physics , artificial intelligence , radiology , medicine , magnetic resonance imaging , breast cancer , cancer
Nowadays, mammography is currently considered as the most efficient way for the detection and diagnosis of breast cancer at early stages. In many case, due to the subtleness of the difference between normal features and cancerous ones and the bad imaging conditions, cancer is not easily detected with visual interpretation. Thus, image-enhancement technology is often used in screaming mammograms. In this paper, we develop a method based on Shock Filter to enhance the contrast of image and help radiologists. In the proposed method, the Shock Filter is applied for preprocessing, in order to improve the contrast, remove the noisy fluctuations and to enhance the edges containing useful information. Experiments show the efficiency of the proposed method. General Terms Mammography, Enhancement

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