Object Contour Extraction Algorithm Combined Snake with Level Set


KIPS Transactions on Software and Data Engineering, Vol. 3, No. 5, pp. 195-200, May. 2014
10.3745/KTSDE.2014.3.5.195,   PDF Download:

Abstract

Typical methods of active contour model for object contour extraction are snake and level. Snake is usually faster than level set,but has limitation to compute topology of objects. Level set on the other hand is slower but good at it. In this paper, a new objectcontour extraction algorithm to use advantage of each is proposed. The algorithm is composed of two main steps. In the first step,snake is used to extract the rough contour and then in the second step, level set is applied to extract the complex contour exactly. 5binary images and 2 natural images with different contours are simulated by a proposed algorithm. It is shown that speed is reducedand contour is better extracted.


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Cite this article
[IEEE Style]
J. W. Jang, J. Y. Hwang, Y. J. Wu, "Object Contour Extraction Algorithm Combined Snake with Level Set," KIPS Transactions on Software and Data Engineering, vol. 3, no. 5, pp. 195-200, 2014. DOI: 10.3745/KTSDE.2014.3.5.195.

[ACM Style]
Jong Whan Jang, Jae Yong Hwang, and Ying Jun Wu. 2014. Object Contour Extraction Algorithm Combined Snake with Level Set. KIPS Transactions on Software and Data Engineering, 3, 5, (2014), 195-200. DOI: 10.3745/KTSDE.2014.3.5.195.