A Geometric Active Contour Model Using Multi Resolution Level Set Methods 


Vol. 6,  No. 10, pp. 2809-2815, Oct.  1999
10.3745/KIPSTE.1999.6.10.2809


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  Abstract

Level se and active contour(snakes) models are extensively used for image segmentation or shape extraction in computer vision. Snakes utilize the energy minimization concepts. and level set is based or. the curve evolution in order to extract contours from image data. In general, these two models have their own drawbacks. for instance. Snake acts pooly unless it is placed close in the wanted shape boundary, and it has difficult problem when image has multiple objects to be extracted. But, level set method is free of initial curve position problem, and has ability to handle topology of multiple objects. Nevertheless, level set method requires much more calculation time compared to snake model. In this paper, we use good points of two described models and also apply multi resolution algorithm in order to speed up the process without decreasing the performance of the shape extraction.

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[IEEE Style]

K. S. Kon and K. D. Young, "A Geometric Active Contour Model Using Multi Resolution Level Set Methods," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 6, no. 10, pp. 2809-2815, 1999. DOI: 10.3745/KIPSTE.1999.6.10.2809.

[ACM Style]

Kim Seong Kon and Kim Doo Young. 1999. A Geometric Active Contour Model Using Multi Resolution Level Set Methods. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 6, 10, (1999), 2809-2815. DOI: 10.3745/KIPSTE.1999.6.10.2809.

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