Edge cross-section features for detection of appendiceal orifice appearance in colonoscopy videos

Yi Wang, Wallapak Tavanapong, Johnny Wong, JungHwan Oh, Piet C. De Groen

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

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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