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http://dx.doi.org/10.5391/JKIIS.2007.17.2.265

Gastric Cancer Extraction of Electronic Endoscopic Images using IHb and HSI Color Information  

Kim, Kwang-Baek (신라대학교 컴퓨터정보공학부)
Lim, Eun-Kyung (신라대학교 컴퓨터정보공학부)
Kim, Gwang-Ha (부산대학교 의과대학 내과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.17, no.2, 2007 , pp. 265-269 More about this Journal
Abstract
In this paper, we propose an automatic extraction method of gastric cancer region from electronic endoscopic images. We use the brightness and saturation of HSI in removing noises by illumination and shadows by the crookedness occurring in the endoscopic process. We partition the image into several areas with similar pigments of hemoglobin using IHb. The candidate areas for gastric cancer are defined as the areas that have high hemoglobin pigments and high value in every channel of RGB. Then the morphological characteristics of gastric cancer are used to decide the target region. In experiment, our method is sufficiently accurate in that it correctly identifies most cases (18 out of 20 cases) from real electronic endoscopic images, obtained by expert endoscopists.
Keywords
Gastric cancer region; Electronic endoscopic images; HSI; Hemoglobin;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
연도 인용수 순위
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