Image Edge Detection Technique for Pathological Information System


KIPS Transactions on Software and Data Engineering, Vol. 5, No. 10, pp. 489-496, Oct. 2016
10.3745/KTSDE.2016.5.10.489,   PDF Download:
Keywords: Pathological Information System, Image Edge Detection, Digital Gross Photography System, Canny Algorithm
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.


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Cite this article
[IEEE Style]
X. Xiao and S. Oh, "Image Edge Detection Technique for Pathological Information System," KIPS Transactions on Software and Data Engineering, vol. 5, no. 10, pp. 489-496, 2016. DOI: 10.3745/KTSDE.2016.5.10.489.

[ACM Style]
Xie Xiao and Sangyoon Oh. 2016. Image Edge Detection Technique for Pathological Information System. KIPS Transactions on Software and Data Engineering, 5, 10, (2016), 489-496. DOI: 10.3745/KTSDE.2016.5.10.489.