Detection and classification of bleeding region in WCE images using color feature

Wireless capsule endoscopy (WCE) is a modern and efficient technology to diagnose complete gastrointestinal tract (GIT) for various abnormalities. Due to long recording time of WCE, it acquires a huge amount of images, which is very tedious for clinical expertise to inspect each and every frame of a...

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Main Authors: Suman, S., Hussin, F.A.B., Malik, A.S., Pogorelov, K., Riegler, M., Ho, S.H., Hilmi, I., Goh, K.L.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.20067 /
Published: Association for Computing Machinery 2017
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85030756852&doi=10.1145%2f3095713.3095731&partnerID=40&md5=2c3231a30767ccaa894450a682df0adc
http://eprints.utp.edu.my/20067/
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spelling utp-eprints.200672018-04-22T14:39:43Z Detection and classification of bleeding region in WCE images using color feature Suman, S. Hussin, F.A.B. Malik, A.S. Pogorelov, K. Riegler, M. Ho, S.H. Hilmi, I. Goh, K.L. Wireless capsule endoscopy (WCE) is a modern and efficient technology to diagnose complete gastrointestinal tract (GIT) for various abnormalities. Due to long recording time of WCE, it acquires a huge amount of images, which is very tedious for clinical expertise to inspect each and every frame of a complete video footage. In this paper, an automated color feature based technique of bleeding detection is proposed. In case of bleeding, color is a very important feature for an efficient information extraction. Our algorithm is based on statistical color feature analysis and we use support vector machine (SVM) to classify WCE video frames into bleeding and non-bleeding classes with a high processing speed. An experimental evaluation shows that our method has promising bleeding detection performance with sensitivity and specificity higher than existing approaches. © 2017 Copyright is held by the owner/author(s). Association for Computing Machinery 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85030756852&doi=10.1145%2f3095713.3095731&partnerID=40&md5=2c3231a30767ccaa894450a682df0adc Suman, S. and Hussin, F.A.B. and Malik, A.S. and Pogorelov, K. and Riegler, M. and Ho, S.H. and Hilmi, I. and Goh, K.L. (2017) Detection and classification of bleeding region in WCE images using color feature. ACM International Conference Proceeding Series, Part F . http://eprints.utp.edu.my/20067/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Wireless capsule endoscopy (WCE) is a modern and efficient technology to diagnose complete gastrointestinal tract (GIT) for various abnormalities. Due to long recording time of WCE, it acquires a huge amount of images, which is very tedious for clinical expertise to inspect each and every frame of a complete video footage. In this paper, an automated color feature based technique of bleeding detection is proposed. In case of bleeding, color is a very important feature for an efficient information extraction. Our algorithm is based on statistical color feature analysis and we use support vector machine (SVM) to classify WCE video frames into bleeding and non-bleeding classes with a high processing speed. An experimental evaluation shows that our method has promising bleeding detection performance with sensitivity and specificity higher than existing approaches. © 2017 Copyright is held by the owner/author(s).
format Article
author Suman, S.
Hussin, F.A.B.
Malik, A.S.
Pogorelov, K.
Riegler, M.
Ho, S.H.
Hilmi, I.
Goh, K.L.
spellingShingle Suman, S.
Hussin, F.A.B.
Malik, A.S.
Pogorelov, K.
Riegler, M.
Ho, S.H.
Hilmi, I.
Goh, K.L.
Detection and classification of bleeding region in WCE images using color feature
author_sort Suman, S.
title Detection and classification of bleeding region in WCE images using color feature
title_short Detection and classification of bleeding region in WCE images using color feature
title_full Detection and classification of bleeding region in WCE images using color feature
title_fullStr Detection and classification of bleeding region in WCE images using color feature
title_full_unstemmed Detection and classification of bleeding region in WCE images using color feature
title_sort detection and classification of bleeding region in wce images using color feature
publisher Association for Computing Machinery
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85030756852&doi=10.1145%2f3095713.3095731&partnerID=40&md5=2c3231a30767ccaa894450a682df0adc
http://eprints.utp.edu.my/20067/
_version_ 1741196311710924800
score 11.62408

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