Automatic detection and removal of bubble frames from wireless capsule endoscopy video sequences

Wireless Capsule Endoscopy (WCE) is a new challenging clinical technique to obtain a detailed video of complete gastrointestinal tract (GIT). The major disadvantage of this technique is that it generates a huge number of frames which is difficult to diagnose for clinicians. In this particular paper,...

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Main Authors: Suman, S., Hussin, F.A., Walter, N., Malik, A.S., Hilmi, I.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.20225 /
Published: Institute of Electrical and Electronics Engineers Inc. 2017
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85012014521&doi=10.1109%2fICIAS.2016.7824091&partnerID=40&md5=429e079799070bb9372cb1a6845b960c
http://eprints.utp.edu.my/20225/
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spelling utp-eprints.202252018-04-22T14:46:24Z Automatic detection and removal of bubble frames from wireless capsule endoscopy video sequences Suman, S. Hussin, F.A. Walter, N. Malik, A.S. Hilmi, I. Wireless Capsule Endoscopy (WCE) is a new challenging clinical technique to obtain a detailed video of complete gastrointestinal tract (GIT). The major disadvantage of this technique is that it generates a huge number of frames which is difficult to diagnose for clinicians. In this particular paper, we propose a method to reduce the time of visualisation by removing frames which have redundant information of targeted disease. There are several types of redundant frames which can be categorised as informative and non-informative frames. The key method of the proposed strategy is to define dynamic threshold for intensity and hue in HSV or HSI colour space using the chosen ratio of training and testing data sets. Canny Edge Detector is used to find edges and Water segmentation method is used for segmentation. We acquire training and testing dataset from various WCE video segments to do this pilot research. An experimental result shows that the proposed method achieves very promising performance for detection. © 2016 IEEE. Institute of Electrical and Electronics Engineers Inc. 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-85012014521&doi=10.1109%2fICIAS.2016.7824091&partnerID=40&md5=429e079799070bb9372cb1a6845b960c Suman, S. and Hussin, F.A. and Walter, N. and Malik, A.S. and Hilmi, I. (2017) Automatic detection and removal of bubble frames from wireless capsule endoscopy video sequences. International Conference on Intelligent and Advanced Systems, ICIAS 2016 . http://eprints.utp.edu.my/20225/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Wireless Capsule Endoscopy (WCE) is a new challenging clinical technique to obtain a detailed video of complete gastrointestinal tract (GIT). The major disadvantage of this technique is that it generates a huge number of frames which is difficult to diagnose for clinicians. In this particular paper, we propose a method to reduce the time of visualisation by removing frames which have redundant information of targeted disease. There are several types of redundant frames which can be categorised as informative and non-informative frames. The key method of the proposed strategy is to define dynamic threshold for intensity and hue in HSV or HSI colour space using the chosen ratio of training and testing data sets. Canny Edge Detector is used to find edges and Water segmentation method is used for segmentation. We acquire training and testing dataset from various WCE video segments to do this pilot research. An experimental result shows that the proposed method achieves very promising performance for detection. © 2016 IEEE.
format Article
author Suman, S.
Hussin, F.A.
Walter, N.
Malik, A.S.
Hilmi, I.
spellingShingle Suman, S.
Hussin, F.A.
Walter, N.
Malik, A.S.
Hilmi, I.
Automatic detection and removal of bubble frames from wireless capsule endoscopy video sequences
author_sort Suman, S.
title Automatic detection and removal of bubble frames from wireless capsule endoscopy video sequences
title_short Automatic detection and removal of bubble frames from wireless capsule endoscopy video sequences
title_full Automatic detection and removal of bubble frames from wireless capsule endoscopy video sequences
title_fullStr Automatic detection and removal of bubble frames from wireless capsule endoscopy video sequences
title_full_unstemmed Automatic detection and removal of bubble frames from wireless capsule endoscopy video sequences
title_sort automatic detection and removal of bubble frames from wireless capsule endoscopy video sequences
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85012014521&doi=10.1109%2fICIAS.2016.7824091&partnerID=40&md5=429e079799070bb9372cb1a6845b960c
http://eprints.utp.edu.my/20225/
_version_ 1741196337805787136
score 11.62408

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