Edge detection of microcirculation images using snake model

Ting Shen; ZhiGuang Zhang

doi:10.1117/12.440248

18 September 2001 Edge detection of microcirculation images using snake model

Ting Shen, ZhiGuang Zhang

Proceedings Volume 4549, Medical Image Acquisition and Processing; (2001) https://doi.org/10.1117/12.440248
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

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.

Citation Download Citation

Ting Shen and ZhiGuang Zhang "Edge detection of microcirculation images using snake model", Proc. SPIE 4549, Medical Image Acquisition and Processing, (18 September 2001); https://doi.org/10.1117/12.440248

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