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

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

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) Snak...

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Main Authors: Mahfuzah, Mustafa, Hana Najwa, Omar Rashid, Nor Rul Hasma, Abdullah, Rosdiyana, Samad, Pebrianti, Dwi
Format: Article
Language:English
English
Published: Institute of Advanced Engineering and Science 2017
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/18093/
http://umpir.ump.edu.my/id/eprint/18093/
http://umpir.ump.edu.my/id/eprint/18093/
http://umpir.ump.edu.my/id/eprint/18093/1/Mammography%20Image%20Segmentation-%20Chan-Vese%20Active%20Contour%20and%20Localised%20Active%20Contour%20Approach.pdf
http://umpir.ump.edu.my/id/eprint/18093/7/Mammography%20Image%20Segmentation-%20Chan-Vese%20Active%20Contour%20and%20Localised%20Active%20Contour%20Approach%201.pdf
id ump-18093
recordtype eprints
spelling ump-180932018-01-15T06:53:07Z http://umpir.ump.edu.my/id/eprint/18093/ Mammography Image Segmentation: Chan-Vese Active Contour and Localised Active Contour Approach Mahfuzah, Mustafa Hana Najwa, Omar Rashid Nor Rul Hasma, Abdullah Rosdiyana, Samad Pebrianti, Dwi TK Electrical engineering. Electronics Nuclear engineering 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. Institute of Advanced Engineering and Science 2017 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/18093/1/Mammography%20Image%20Segmentation-%20Chan-Vese%20Active%20Contour%20and%20Localised%20Active%20Contour%20Approach.pdf application/pdf en http://umpir.ump.edu.my/id/eprint/18093/7/Mammography%20Image%20Segmentation-%20Chan-Vese%20Active%20Contour%20and%20Localised%20Active%20Contour%20Approach%201.pdf 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 http://iaescore.com/journals/index.php/IJEECS/article/view/6508 DOI: 10.11591/ijeecs.v5.i3.pp577-583
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
language English
English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Mahfuzah, Mustafa
Hana Najwa, Omar Rashid
Nor Rul Hasma, Abdullah
Rosdiyana, Samad
Pebrianti, Dwi
Mammography Image Segmentation: Chan-Vese Active Contour and Localised Active Contour Approach
description 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.
format Article
author Mahfuzah, Mustafa
Hana Najwa, Omar Rashid
Nor Rul Hasma, Abdullah
Rosdiyana, Samad
Pebrianti, Dwi
author_facet Mahfuzah, Mustafa
Hana Najwa, Omar Rashid
Nor Rul Hasma, Abdullah
Rosdiyana, Samad
Pebrianti, Dwi
author_sort Mahfuzah, Mustafa
title Mammography Image Segmentation: Chan-Vese Active Contour and Localised Active Contour Approach
title_short Mammography Image Segmentation: Chan-Vese Active Contour and Localised Active Contour Approach
title_full Mammography Image Segmentation: Chan-Vese Active Contour and Localised Active Contour Approach
title_fullStr Mammography Image Segmentation: Chan-Vese Active Contour and Localised Active Contour Approach
title_full_unstemmed Mammography Image Segmentation: Chan-Vese Active Contour and Localised Active Contour Approach
title_sort mammography image segmentation: chan-vese active contour and localised active contour approach
publisher Institute of Advanced Engineering and Science
publishDate 2017
url http://umpir.ump.edu.my/id/eprint/18093/
http://umpir.ump.edu.my/id/eprint/18093/
http://umpir.ump.edu.my/id/eprint/18093/
http://umpir.ump.edu.my/id/eprint/18093/1/Mammography%20Image%20Segmentation-%20Chan-Vese%20Active%20Contour%20and%20Localised%20Active%20Contour%20Approach.pdf
http://umpir.ump.edu.my/id/eprint/18093/7/Mammography%20Image%20Segmentation-%20Chan-Vese%20Active%20Contour%20and%20Localised%20Active%20Contour%20Approach%201.pdf
first_indexed 2023-09-18T22:25:25Z
last_indexed 2023-09-18T22:25:25Z
_version_ 1777415933753556992

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