Abstract
A new boundary contour extraction algorithm based on curve evolution model and ant colony algorithm is proposed in this paper. Firstly, ant colony algorithm is used to find the optima of snake points for rapidly converging near image edge. Then the interpolation algorithm is applied to gaining the object’s rough contour that is used as the initial zero level set. The accurate contour can be obtained by the curve evolution method. Experimental results are given to demonstrate the feasibility of the proposed method in extracting contour from the blurred edge and high-noise images.
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Li, J., Yuan, D., Hua, Z., Fan, H. (2010). Images Boundary Extraction Based on Curve Evolution and Ant Colony Algorithm. In: Tan, Y., Shi, Y., Tan, K.C. (eds) Advances in Swarm Intelligence. ICSI 2010. Lecture Notes in Computer Science, vol 6145. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13495-1_36
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DOI: https://doi.org/10.1007/978-3-642-13495-1_36
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13494-4
Online ISBN: 978-3-642-13495-1
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