Title :
Closed-boundary extraction of large intestinal lumen
Author :
Krishnan, S.M. ; Tan, C.S. ; Chan, K.L.
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore
Abstract :
Describes a new boundary extraction algorithm, based on the integration of fuzzy rule-base region growing and fuzzy rule-base edge detection. This new approach is applied on the colonoscopic images for the identification of closed-boundary of intestinal lumen, to facilitate diagnosis of colon abnormalities
Keywords :
edge detection; fuzzy logic; image segmentation; knowledge based systems; medical image processing; boundary extraction algorithm; closed-boundary extraction; colon abnormalities; colonoscopic images; diagnosis; fuzzy rule-base edge detection; fuzzy rule-base region growing; integration; large intestinal lumen; Colon; Data mining; Detectors; Image analysis; Image edge detection; Image processing; Intestines; Measurement standards; Navigation; Pixel;
Conference_Titel :
Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
Print_ISBN :
0-7803-2050-6
DOI :
10.1109/IEMBS.1994.411878
