Title :
Polyp Detection in Colonoscopy Video using Elliptical Shape Feature
Author :
Hwang, Sae ; Oh, JungHwan ; Tavanapong, Wallapak ; Wong, Johnny ; De Groen, Piet C.
Author_Institution :
UTA, Arlington
fDate :
Sept. 16 2007-Oct. 19 2007
Abstract :
Early detection of polyps and cancers is one of the most important goals of colonoscopy. Computer-based analysis of video files using texture features, as has been proposed for polyps of the stomach and colon, has two major limitations: this method uses a fixed size analysis window and relies heavily on a training set of images for accuracy. To overcome these limitations, we propose a new technique focusing on shape instead of texture in this paper. The proposed polyp region detection method is based on the elliptical shape that is common for nearly all small colon polyps.
Keywords :
biological organs; biomedical optical imaging; cancer; feature extraction; medical image processing; object detection; video signal processing; cancer detection; colon polyps; colonoscopy video; computer-based analysis; elliptical shape feature; fixed size analysis window; polyp detection; stomach; texture features; Cancer detection; Colon; Colonic polyps; Colonoscopy; Computer science; Image analysis; Image edge detection; Image segmentation; Image texture analysis; Shape; Colonoscopy; Ellipse Fitting; Image Registration; Polyp Detection;
Conference_Titel :
Image Processing, 2007. ICIP 2007. IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
978-1-4244-1437-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2007.4379193