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 proceedingConference PaperResearchpeer-review

2 Citations (Scopus)


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 languageEnglish
Title of host publicationProceedings of 2016 International Conference on Robotics, Automation and Sciences, ICORAS 2016
PublisherIEEE, Institute of Electrical and Electronics Engineers
ISBN (Electronic)9781509062058
Publication statusPublished - 2016
Externally publishedYes
EventInternational Conference on Robotics, Automation and Sciences 2016 - Melaka, Malaysia
Duration: 5 Nov 20166 Nov 2016 (Proceedings)


ConferenceInternational Conference on Robotics, Automation and Sciences 2016
Abbreviated titleICORAS 2016
Internet address


  • Bleeding
  • Colour-based Detection
  • Gastrointestinal Endoscopy
  • Image Processing
  • Lesion
  • Reflux

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