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Edge cross-section features for detection of appendiceal orifice appearance in colonoscopy videos
Yi Wang1, Wallapak Tavanapong, Johnny Wong
1Department of Computer Science, Iowa State University, Ames, IA 50011, USA.
Abstract:
Colonoscopy is an endoscopic technique that allows a physician to inspect the inside of the human colon. The appearance of the appendiceal orifice during colonoscopy indicates a complete traversal of the colon, which is one of important quality indicators of examination of the colon. In this paper, we propose a new algorithm that detects appendix images-images showing the appendiceal orifice. We introduce new features based on geometric shape, saturation and intensity changes along the norm direction (cross-section) of an edge to discriminate appendix images. Our experimental results on real colonoscopic images show the average sensitivity and specificity of 88.12% and 94.25%, respectively.
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