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.
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© 2004 Springer-Verlag Berlin Heidelberg
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Yoon, JS., Park, JC., Jang, SW., Kim, GY. (2004). A Shakable Snake for Estimation of Image Contours. In: Laganá, A., Gavrilova, M.L., Kumar, V., Mun, Y., Tan, C.J.K., Gervasi, O. (eds) Computational Science and Its Applications – ICCSA 2004. ICCSA 2004. Lecture Notes in Computer Science, vol 3043. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24707-4_2
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DOI: https://doi.org/10.1007/978-3-540-24707-4_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22054-1
Online ISBN: 978-3-540-24707-4
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