Title :
Region labeling of colonoscopic images using fuzzy logic
Author :
Krishnan, S.M. ; Yang, Xin ; Chan, Kap Luk ; Goh, P.M.Y.
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore
Abstract :
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
Keywords :
biological organs; diagnostic radiography; feature extraction; fuzzy logic; image colour analysis; image segmentation; medical expert systems; medical image processing; abnormalities; background; bleeding lesions; clinician; colonoscopic images; color image segmentation; fuzzy logic; fuzzy rule base approach; knowledge-based fuzzy rule base system; lumen; polyps; precaptured colonoscopic images; real-time clinical testing; region labeling; scale-space filter; Colonic polyps; Color; Filters; Fuzzy logic; Fuzzy systems; Hemorrhaging; Image segmentation; Labeling; Lesions; Rendering (computer graphics);
Conference_Titel :
[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
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.804315
