A Snake-Based Segmentation Algorithm for Object with Boundary Concavities 


Vol. 13,  No. 4, pp. 361-368, Aug.  2006
10.3745/KIPSTB.2006.13.4.361


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  Abstract

In this paper we present a snake-based scheme for efficiently detecting contours of objects with boundary concavities. The proposed method is composed of two steps. First, the object's boundary is detected using the proposed snake model. Second, snake points are optimized by inserting new points and deleting unnecessary points to better describe the object's boundary. The proposed algorithm can successfully extract objects with boundary concavities. Experimental results have shown that our algorithm produces more accurate segmentation results than the conventional algorithm.

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[IEEE Style]

S. H. Kim and J. W. Jang, "A Snake-Based Segmentation Algorithm for Object with Boundary Concavities," The KIPS Transactions:PartB , vol. 13, no. 4, pp. 361-368, 2006. DOI: 10.3745/KIPSTB.2006.13.4.361.

[ACM Style]

Shin Hyoung Kim and Jong Whan Jang. 2006. A Snake-Based Segmentation Algorithm for Object with Boundary Concavities. The KIPS Transactions:PartB , 13, 4, (2006), 361-368. DOI: 10.3745/KIPSTB.2006.13.4.361.

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