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Volume: 31 | Article ID: art00002
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Specular reflection detection algorithm for endoscopic images
V Voronin
E Semenishchev
A Zelensky
S Agaian
  DOI :  10.2352/ISSN.2470-1173.2019.11.IPAS-222  Published Online :  January 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.

Journal Title : Electronic Imaging
Publisher Name : Society for Imaging Science and Technology
Publisher Location : 7003 Kilworth Lane, Springfield, VA 22151 USA
Subject Areas :
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 DOI 10.2352/ISSN.2470-1173.2019.11.IPAS-222
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V Voronin, E Semenishchev, A Zelensky, S Agaian, "Specular reflection detection algorithm for endoscopic images"  in 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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Copyright © Society for Imaging Science and Technology 2019
72010604
Electronic Imaging
2470-1173
Society for Imaging Science and Technology
7003 Kilworth Lane, Springfield, VA 22151 USA
10.2352/ISSN.2470-1173.2019.11.IPAS-222
2470-1173(20190113)2019:11L.2221;1-
ei_24701173_v2019n11_input/s29.xml
/ist/ei/2019/00002019/00000011/art00002
Articles
Specular reflection detection algorithm for endoscopic images
VoroninV
SemenishchevE
ZelenskyA
AgaianS
13012019
2019
11
222-1
222-6
2019
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.
EnhancementMedical imagingEndoscopic imagesSpecular reflection