Abstract
This paper proposes an enhanced snake algorithm using the proximal edge search method. The proposed algorithm adds a new energy term called “proximal edge search” to the existing greedy algorithm without any passive adjustment of weight. The new energy term is represented by the distance between the snake point and the edge when there is a proximal edge. This modified algorithm could improve the accuracy by acquiring the detailed contour of complex objects and actively resolve the passive determination of weight. The validity of the proposed method was proven through experiments.
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Cha, J., Kim, G. (2007). Enhanced Snake Algorithm Using the Proximal Edge Search Method. In: Gervasi, O., Gavrilova, M.L. (eds) Computational Science and Its Applications – ICCSA 2007. ICCSA 2007. Lecture Notes in Computer Science, vol 4705. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74472-6_90
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DOI: https://doi.org/10.1007/978-3-540-74472-6_90
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74468-9
Online ISBN: 978-3-540-74472-6
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