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Proceedings Paper

Edge detection of microcirculation images using snake model
Author(s): Ting Shen; ZhiGuang Zhang
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Paper Abstract

In this work, we developed a snake algorithm to approach for the detection of edge of microcirculation blood vessel images from microscope. The images we process are the image sequences obtained from a microscope-television system. The difficulty of the approach is the bad image quality. The algorithm was based on dual active contour model to overcome some problems of the conventional snakes. Two contours extended from the initial contour are used as the inner and outer contour. We then apply dynamic programming to search the minimization within the search domain. The results show that the method can detect the object contours in complex background more effective. This work is helpful for the research on tracking the motion of the blood vessel and the segmentation of blood vessel net in microcirculation.

Paper Details

Date Published: 18 September 2001
PDF: 6 pages
Proc. SPIE 4549, Medical Image Acquisition and Processing, (18 September 2001); doi: 10.1117/12.440248
Show Author Affiliations
Ting Shen, Tsinghua Univ. (China)
ZhiGuang Zhang, Tsinghua Univ. (China)

Published in SPIE Proceedings Vol. 4549:
Medical Image Acquisition and Processing
Jayaram K. Udupa; Aaron Fenster, Editor(s)

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