Abstract
In this paper, we present a novel image contour extraction by ant colony algorithm and B-snake model. Using ant colony algorithm, an initial curve of B-snake is get, which rapidly converging near image edge. When the B-snake begins to iterate, new control points are inserted, which can enhance the flexibility of B-snake to describe complex shape. A minimum energy method minimum mean square error (MMSE) is proposed for B-snake to push it to the target boundary. The experimental results demonstrate the efficiency and accuracy of our method.
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Li, J. (2010). Image Contour Extraction Based on Ant Colony Algorithm and B-snake. In: Huang, DS., Zhao, Z., Bevilacqua, V., Figueroa, J.C. (eds) Advanced Intelligent Computing Theories and Applications. ICIC 2010. Lecture Notes in Computer Science, vol 6215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14922-1_25
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DOI: https://doi.org/10.1007/978-3-642-14922-1_25
Publisher Name: Springer, Berlin, Heidelberg
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