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Region labeling of colonoscopic images using fuzzy logic

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4 Author(s)
Krishnan, S.M. ; Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore ; Xin Yang ; Kap Luk Chan ; Goh, P.M.Y.

A fuzzy rule base approach to the labeling of colonoscopic images to render assistance to the clinician is presented. The color images are segmented using a scale-space filter. Several features are selected and fuzzified. The knowledge-based fuzzy rule base system performs the labeling of the segmented regions into background, lumen, and abnormalities (polyps, bleeding lesions). The system has been tested on several precaptured colonoscopic images. The results are encouraging. Modifications are in progress to prepare for real-time clinical testing

Published in:

[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint  (Volume:2 )

Date of Conference:

Oct 1999

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