Gastrointestinal endoscopy colour-based image processing technique for bleeding, lesion and reflux

T. K. Kho; K. S. Sim; F. F. Ting

doi:10.1109/ICORAS.2016.7872633

Gastrointestinal endoscopy colour-based image processing technique for bleeding, lesion and reflux

T. K. Kho, K. S. Sim, F. F. Ting

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

2 Citations (Scopus)

Abstract

This paper presents a colour-based and contour based segmentation methods to aid doctors in Gastrointestinal (GI) Endoscopy examination process. These methods are proposed to enhance existing GI Endoscopy image processing applications. Based on the previous existing GI image processing applications, these algorithms are developed to assist doctor in diagnosis process while identifying the type of disease in the intestine. For the image processing part, as compared to previous existing methods, colour-based detection is justified to be the easiest and accurate way for detecting the reflux, lesion and bleeding as they differ in colour.

Original language	English
Title of host publication	Proceedings of 2016 International Conference on Robotics, Automation and Sciences, ICORAS 2016
Publisher	IEEE, Institute of Electrical and Electronics Engineers
ISBN (Electronic)	9781509062058
DOIs	https://doi.org/10.1109/ICORAS.2016.7872633
Publication status	Published - 2016
Externally published	Yes
Event	International Conference on Robotics, Automation and Sciences 2016 - Melaka, Malaysia Duration: 5 Nov 2016 → 6 Nov 2016 https://ieeexplore.ieee.org/xpl/conhome/7864798/proceeding (Proceedings)

Conference

Conference	International Conference on Robotics, Automation and Sciences 2016
Abbreviated title	ICORAS 2016
Country/Territory	Malaysia
City	Melaka
Period	5/11/16 → 6/11/16
Internet address	https://ieeexplore.ieee.org/xpl/conhome/7864798/proceeding (Proceedings)

Keywords

Bleeding
Colour-based Detection
Gastrointestinal Endoscopy
Image Processing
Lesion
Reflux

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10.1109/ICORAS.2016.7872633

Cite this

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title = "Gastrointestinal endoscopy colour-based image processing technique for bleeding, lesion and reflux",

abstract = "This paper presents a colour-based and contour based segmentation methods to aid doctors in Gastrointestinal (GI) Endoscopy examination process. These methods are proposed to enhance existing GI Endoscopy image processing applications. Based on the previous existing GI image processing applications, these algorithms are developed to assist doctor in diagnosis process while identifying the type of disease in the intestine. For the image processing part, as compared to previous existing methods, colour-based detection is justified to be the easiest and accurate way for detecting the reflux, lesion and bleeding as they differ in colour.",

keywords = "Bleeding, Colour-based Detection, Gastrointestinal Endoscopy, Image Processing, Lesion, Reflux",

author = "Kho, {T. K.} and Sim, {K. S.} and Ting, {F. F.}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.; International Conference on Robotics, Automation and Sciences 2016, ICORAS 2016 ; Conference date: 05-11-2016 Through 06-11-2016",

year = "2016",

doi = "10.1109/ICORAS.2016.7872633",

language = "English",

booktitle = "Proceedings of 2016 International Conference on Robotics, Automation and Sciences, ICORAS 2016",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

url = "https://ieeexplore.ieee.org/xpl/conhome/7864798/proceeding",

}

Kho, TK, Sim, KS & Ting, FF 2016, Gastrointestinal endoscopy colour-based image processing technique for bleeding, lesion and reflux. in Proceedings of 2016 International Conference on Robotics, Automation and Sciences, ICORAS 2016. IEEE, Institute of Electrical and Electronics Engineers, International Conference on Robotics, Automation and Sciences 2016, Melaka, Malaysia, 5/11/16. https://doi.org/10.1109/ICORAS.2016.7872633

Gastrointestinal endoscopy colour-based image processing technique for bleeding, lesion and reflux. / Kho, T. K.; Sim, K. S.; Ting, F. F.

Proceedings of 2016 International Conference on Robotics, Automation and Sciences, ICORAS 2016. IEEE, Institute of Electrical and Electronics Engineers, 2016.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - Gastrointestinal endoscopy colour-based image processing technique for bleeding, lesion and reflux

AU - Kho, T. K.

AU - Sim, K. S.

AU - Ting, F. F.

PY - 2016

Y1 - 2016

N2 - This paper presents a colour-based and contour based segmentation methods to aid doctors in Gastrointestinal (GI) Endoscopy examination process. These methods are proposed to enhance existing GI Endoscopy image processing applications. Based on the previous existing GI image processing applications, these algorithms are developed to assist doctor in diagnosis process while identifying the type of disease in the intestine. For the image processing part, as compared to previous existing methods, colour-based detection is justified to be the easiest and accurate way for detecting the reflux, lesion and bleeding as they differ in colour.

AB - This paper presents a colour-based and contour based segmentation methods to aid doctors in Gastrointestinal (GI) Endoscopy examination process. These methods are proposed to enhance existing GI Endoscopy image processing applications. Based on the previous existing GI image processing applications, these algorithms are developed to assist doctor in diagnosis process while identifying the type of disease in the intestine. For the image processing part, as compared to previous existing methods, colour-based detection is justified to be the easiest and accurate way for detecting the reflux, lesion and bleeding as they differ in colour.

KW - Bleeding

KW - Colour-based Detection

KW - Gastrointestinal Endoscopy

KW - Image Processing

KW - Lesion

KW - Reflux

UR - http://www.scopus.com/inward/record.url?scp=85016978981&partnerID=8YFLogxK

U2 - 10.1109/ICORAS.2016.7872633

DO - 10.1109/ICORAS.2016.7872633

M3 - Conference Paper

AN - SCOPUS:85016978981

BT - Proceedings of 2016 International Conference on Robotics, Automation and Sciences, ICORAS 2016

PB - IEEE, Institute of Electrical and Electronics Engineers

T2 - International Conference on Robotics, Automation and Sciences 2016

Y2 - 5 November 2016 through 6 November 2016

ER -

Gastrointestinal endoscopy colour-based image processing technique for bleeding, lesion and reflux

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Conference

Keywords

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