A New Variational Level Set Evolving Algorithm for Image Segmentation


Yang Fei, Jong Won Park, Journal of Information Processing Systems Vol. 5, No. 1, pp. 1-4, Mar. 2009  

10.3745/JIPS.2009.5.1.001
Keywords: Level Set Methods, Evolving Algorithm, without Re-initialization, Image Segmentation
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Abstract

Level set methods are the numerical techniques for tracking interfaces and shapes. They have been successfully used in image segmentation. A new variational level set evolving algorithm without re-initialization is presented in this paper. It consists of an internal energy term that penalizes deviations of the level set function from a signed distance function, and an external energy term that drives the motion of the zero level set toward the desired image feature. This algorithm can be easily implemented using a simple finite difference scheme. Meanwhile, not only can the initial contour can be shown anywhere in the image, but the interior contours can also be automatically detected.


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Cite this article
[APA Style]
Yang Fei and Jong Won Park (2009). A New Variational Level Set Evolving Algorithm for Image Segmentation. Journal of Information Processing Systems, 5(1), 1-4. DOI: 10.3745/JIPS.2009.5.1.001.

[IEEE Style]
Y. Fei and J. W. Park, "A New Variational Level Set Evolving Algorithm for Image Segmentation," Journal of Information Processing Systems, vol. 5, no. 1, pp. 1-4, 2009. DOI: 10.3745/JIPS.2009.5.1.001.

[ACM Style]
Yang Fei and Jong Won Park. 2009. A New Variational Level Set Evolving Algorithm for Image Segmentation. Journal of Information Processing Systems, 5, 1, (2009), 1-4. DOI: 10.3745/JIPS.2009.5.1.001.