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Image Discriminal Analysis for Detecting a Esophagitis  

Seo K. W. (Department of Bio-Mechatrocis, SungKyunKwan University)
Lee C. W. (Department of Bio-Mechatrocis, SungKyunKwan University)
Kim W. (Department of Bio-Mechatrocis, SungKyunKwan University)
Lee S. Y. (The Catholic University of Korea St. Mary′s Hospital)
Lee D. W. (Department of Bio-Mechatrocis, SungKyunKwan University)
Publication Information
Journal of Biomedical Engineering Research / v.25, no.6, 2004 , pp. 545-550 More about this Journal
Abstract
An Image processing algorithm was developed and tested to detect abnormal parts, such as esophagitis, with the information on the color and the texture in a digital clinic endoscopic image by using discriminal analysis. In order to develope the algorithm, the critical parameters from many parameters were found to distinguish between normal and abnormal part in the various images. The Inflammation and ulceration which are very important diagnostic indexes were detected by the algorithm. The algorithm proved to a reliable program for detecting abnormal parts with 20 images. A success rate was 92.8% and 92.4% in the calibration stage and the validation stage by using the algorithm with discriminal analysis.
Keywords
Endoscopic imaging; Texture segmentation; Abnormal detection; Esophagitis;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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