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Mammography Image Segmentation: Chan-Vese Active Contour and Localised Active Contour Approach

Mahfuzah, Mustafa and Hana Najwa, Omar Rashid and Nor Rul Hasma, Abdullah and Rosdiyana, Samad and Pebrianti, Dwi (2017) Mammography Image Segmentation: Chan-Vese Active Contour and Localised Active Contour Approach. Indonesian Journal of Electrical Engineering and Computer Science, 5 (3). pp. 577-588. ISSN 2502-4752

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Abstract

Breast cancer is one of the most common diseases diagnosed among female cancer patients. Early detection of breast cancer is needed to reduce the risk of fatality of this disease as no cure has been found yet for this illness. This research is conducted to improve the Gradient Vector Flow (GVF) Snake Active Contour segmentation technique in mammography segmentation. Segmentation of the mammogram image is done to segment lesions existence using Chan-Vese Active Contour and Localized Active Contour. Besides that, the effectiveness of these both methods are then compared and chosen to be the best method. Digital Database of Screening Mammograms (DDSM) is used for the purpose of screening. First, the images undergo pre-processing process using the Gaussian Low Pass Filter to remove unwanted noise. After that, contrast enhancement applied to the images. Segmentation of mammograms is then conducted by using Chan-Vese Active Contour and Localized Active Contour method. The result shows that Chan-Vese technique outperforms Localized Active Contour with 90% accuracy.

Item Type: Article
Additional Information: Indexes in Scopus
Uncontrolled Keywords: Mammogram image, Chan-Vese Active Contour, Localized Active Contour
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 11 Jul 2017 04:39
Last Modified: 15 Jan 2018 06:53
URI: http://umpir.ump.edu.my/id/eprint/18093
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