Edge detection of microcirculation images using snake model
Ting Shen, Zhiguang Zhang · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2001
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.© (2001) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.