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Shape Matching Based on Ant Colony Optimization

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 15))

Abstract

We propose a shape matching method for the fast retrieval of objects in 2D images. The algorithm is based on recent developments in ant colony optimization and skeleton match. The method has been implemented and performed experiments on some image data. Our experimental results showed characteristics of our method. In the end, the future research directions are discussed.

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De-Shuang Huang Donald C. Wunsch II Daniel S. Levine Kang-Hyun Jo

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© 2008 Springer-Verlag Berlin Heidelberg

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Zhu, X. (2008). Shape Matching Based on Ant Colony Optimization. In: Huang, DS., Wunsch, D.C., Levine, D.S., Jo, KH. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Contemporary Intelligent Computing Techniques. ICIC 2008. Communications in Computer and Information Science, vol 15. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85930-7_14

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  • DOI: https://doi.org/10.1007/978-3-540-85930-7_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85929-1

  • Online ISBN: 978-3-540-85930-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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