Abstract
Active contour models are powerful tool for object contour extraction. This paper addresses some problems of conventional snake models, and proposes a shakable snake based on a greedy snake. By using a method of shaking a snake, the proposed snake algorithm can attracts the snake to the image contours rapidly and accurately. We show that good results can be obtained by shaking a snake. © Springer-Verlag 2004.
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CITATION STYLE
Yoon, J. S., Park, J. C., Jang, S. W., & Kim, G. Y. (2004). A shakable snake for estimation of image contours. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3043, 9–16. https://doi.org/10.1007/978-3-540-24707-4_2
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