Microcalcifications segmentation using three edge detection techniques

Edge detection has been widely used especially in medical image processing field. In this paper we are comparing Sobel, Prewitt and Laplacian of Gaussian (LoG) edge detection techniques in segmenting the boundary of microcalcifications. The edge detection must satisfy the breast phantom scoring crit...

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Main Authors: Yasiran, Siti Salmah, Jumaat, Abdul Kadir, Abdul Malek, Aminah, Hashim, Fatin Hanani, Nasrir, Nor Dhaniah, Sayed Hassan, Syarifah Nurul Azirah, Ahmad, Normah, Mahmud, Rozi
Format: Conference or Workshop Item
Language:English
Published: IEEE 2012
Online Access:http://psasir.upm.edu.my/id/eprint/39272/1/Microcalcifications%20segmentation%20using%20three%20edge%20detection%20techniques.pdf
http://psasir.upm.edu.my/id/eprint/39272/
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spelling my.upm.eprints.392722016-10-31T07:10:36Z http://psasir.upm.edu.my/id/eprint/39272/ Microcalcifications segmentation using three edge detection techniques Yasiran, Siti Salmah Jumaat, Abdul Kadir Abdul Malek, Aminah Hashim, Fatin Hanani Nasrir, Nor Dhaniah Sayed Hassan, Syarifah Nurul Azirah Ahmad, Normah Mahmud, Rozi Edge detection has been widely used especially in medical image processing field. In this paper we are comparing Sobel, Prewitt and Laplacian of Gaussian (LoG) edge detection techniques in segmenting the boundary of microcalcifications. The edge detection must satisfy the breast phantom scoring criteria before the segmentation phase is carried out. Then, all of the edge detection techniques are implemented in the Enhanced Distance Active Contour (EDAC) model for the segmentation process. Results obtained from Area Under the Curve (AUC) of the Receiver Operating Characteristic (ROC) curve shows that the Prewitt edge detection has the highest value of AUC, followed by the Sobel and LoG which are 0.79, 0.72 and 0.71 respectively. IEEE 2012 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/39272/1/Microcalcifications%20segmentation%20using%20three%20edge%20detection%20techniques.pdf Yasiran, Siti Salmah and Jumaat, Abdul Kadir and Abdul Malek, Aminah and Hashim, Fatin Hanani and Nasrir, Nor Dhaniah and Sayed Hassan, Syarifah Nurul Azirah and Ahmad, Normah and Mahmud, Rozi (2012) Microcalcifications segmentation using three edge detection techniques. In: IEEE International Conference on Electronics Design, Systems and Applications (ICEDSA 2012), 5-6 Nov. 2012, Seri Pacific Hotel, Kuala Lumpur. (pp. 207-211). 10.1109/ICEDSA.2012.6507798
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Edge detection has been widely used especially in medical image processing field. In this paper we are comparing Sobel, Prewitt and Laplacian of Gaussian (LoG) edge detection techniques in segmenting the boundary of microcalcifications. The edge detection must satisfy the breast phantom scoring criteria before the segmentation phase is carried out. Then, all of the edge detection techniques are implemented in the Enhanced Distance Active Contour (EDAC) model for the segmentation process. Results obtained from Area Under the Curve (AUC) of the Receiver Operating Characteristic (ROC) curve shows that the Prewitt edge detection has the highest value of AUC, followed by the Sobel and LoG which are 0.79, 0.72 and 0.71 respectively.
format Conference or Workshop Item
author Yasiran, Siti Salmah
Jumaat, Abdul Kadir
Abdul Malek, Aminah
Hashim, Fatin Hanani
Nasrir, Nor Dhaniah
Sayed Hassan, Syarifah Nurul Azirah
Ahmad, Normah
Mahmud, Rozi
spellingShingle Yasiran, Siti Salmah
Jumaat, Abdul Kadir
Abdul Malek, Aminah
Hashim, Fatin Hanani
Nasrir, Nor Dhaniah
Sayed Hassan, Syarifah Nurul Azirah
Ahmad, Normah
Mahmud, Rozi
Microcalcifications segmentation using three edge detection techniques
author_facet Yasiran, Siti Salmah
Jumaat, Abdul Kadir
Abdul Malek, Aminah
Hashim, Fatin Hanani
Nasrir, Nor Dhaniah
Sayed Hassan, Syarifah Nurul Azirah
Ahmad, Normah
Mahmud, Rozi
author_sort Yasiran, Siti Salmah
title Microcalcifications segmentation using three edge detection techniques
title_short Microcalcifications segmentation using three edge detection techniques
title_full Microcalcifications segmentation using three edge detection techniques
title_fullStr Microcalcifications segmentation using three edge detection techniques
title_full_unstemmed Microcalcifications segmentation using three edge detection techniques
title_sort microcalcifications segmentation using three edge detection techniques
publisher IEEE
publishDate 2012
url http://psasir.upm.edu.my/id/eprint/39272/1/Microcalcifications%20segmentation%20using%20three%20edge%20detection%20techniques.pdf
http://psasir.upm.edu.my/id/eprint/39272/
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score 13.211869