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http://dx.doi.org/10.3745/KTSDE.2016.5.10.489

Image Edge Detection Technique for Pathological Information System  

Xiao, Xie (아주대학교 컴퓨터공학과)
Oh, Sangyoon (아주대학교 소프트웨어학과)
Publication Information
KIPS Transactions on Software and Data Engineering / v.5, no.10, 2016 , pp. 489-496 More about this Journal
Abstract
Thousands of pathological images are produced daily per hospital and they are stored and managed by a pathology information system (PIS). Since image edge detection is one of fundamental analysis tools for pathological images, many researches are targeted to improve accuracy and performance of image edge detection algorithm of HIS. In this paper, we propose a novel image edge detection method. It is based on Canny algorithm with adaptive threshold configuration. It also uses a dividing ruler to configure the two threshold instead of whole image to improve the detection ratio of ruler itself. To verify the effectiveness of our proposed method, we conducted empirical experiments with real pathological images(randomly selected image group, image group that was unable to detect by conventional methods, and added noise image group). The results shows that our proposed method outperforms and better detects compare to the conventional method.
Keywords
Pathological Information System; Image Edge Detection; Digital Gross Photography System; Canny Algorithm;
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