Intestinal abnormality detection from endoscopic images

A method for the detecting the possible presence of abnormality during the endoscopy of the lower gastro-intestinal system is presented. Image contours corresponding to haustra creases in the colon are extracted and curvature of each contour is computed after non-parametric smoothing. Zero-crossings of curvature along the contour are then detected. The presence of abnormality is identified when there is a contour segment between two zero-crossings having the opposite curvature signs to those of the two neighboring contour segments. Results show that the proposed method for detecting the possible presence of abnormality such as polyps and tumors is feasible.