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Volume: 31 | Article ID: art00002
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Specular reflection detection algorithm for endoscopic images
  DOI :  10.2352/ISSN.2470-1173.2019.11.IPAS-222  Published OnlineJanuary 2019
Abstract

Endoscopy is a process that allows viewing/ visualize the inside of a human body. In this article, we propose a specular reflection detection algorithm for endoscopic images that utilizes intensity, saturation and gradient information. The proposed algorithm is a two-stage procedure: (a) image enhancement using an adaptive alpha-rooting algorithm and (b) an efficient reflection detection algorithm in the HSV color space. The extensive computer simulations show a significant improvement over stateof-the-art results for specular reflection detection and segmentation accuracy.

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V Voronin, E Semenishchev, A Zelensky, S Agaian, "Specular reflection detection algorithm for endoscopic imagesin Proc. IS&T Int’l. Symp. on Electronic Imaging: Image Processing: Algorithms and Systems XVII,  2019,  pp 222-1 - 222-6,  https://doi.org/10.2352/ISSN.2470-1173.2019.11.IPAS-222

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