A fast segmentation method based on curve evolution model and edgeflow

Authors:
Xie Qing-Song;Li Jin-Jiang;Yuan Da
Affiliations:
School of Computer Science and Technology, Shandong Institute of Business and Technology, Yantai, China;School of Computer Science and Technology, Shandong Institute of Business and Technology, Yantai, China;School of Computer Science and Technology, Shandong Institute of Business and Technology, Yantai, China
Venue:
FSKD'09 Proceedings of the 6th international conference on Fuzzy systems and knowledge discovery - Volume 5
Year:
2009

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Abstract

This paper proposes a high-accuracy edge contour extraction algorithm based on curve evolution model and edgeflow. The approach automatically detect boundaries, and change of topology in terms of the edgeflow fields. We present the numerical implementation and the experimental results based on the semi-implicit method. Experimental results are given to demonstrate the feasibility of the proposed method in extracting contour from the blurred edge and high-noise images.