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New Algorithms for Feature Description, Analysis and Recognition of Binary Image Contours

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Computational and Information Science (CIS 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3314))

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Abstract

In this paper, some new and efficient algorithms are described for feature description, analysis and recognition of contours. One linearization method is introduced . The series of curvature angle, linearity, and bend angle between two neighboring linearized lines are calculated from the starting line to the end line. The series of structural points are described. The useful series of features can be used for shape analysis and recognition of binary contours.

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References

  1. Moktarian, F., Mackworth, A.K.: A Theory of Multiscale Curvature-Based Shape Representation for Planer Curvature Angles. IEEE Trans. Pattern Analysis Mach. Intell. 14(8), 789–805 (1992)

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Author information

Authors and Affiliations

  1. Swinburne University of Technology, PO Box 218, Hawthorn, VIC, 3122, Australia

    Donggang Yu & Wei Lai

Authors
  1. Donggang Yu
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  2. Wei Lai
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Editor information

Editors and Affiliations

  1. School of Electronic Science and Technology, Anhui University, Hefei, Anhui, China

    Jun Zhang

  2. College of Science, Donghua University, 1882 Yan’an Xilu Road, 20051, Shanghai, China

    Ji-Huan He

  3. BASICS, Department of Computer Science and Engineering, Shanghai Jiao Tong University, 200030, Shanghai, China

    Yuxi Fu

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© 2004 Springer-Verlag Berlin Heidelberg

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Yu, D., Lai, W. (2004). New Algorithms for Feature Description, Analysis and Recognition of Binary Image Contours. In: Zhang, J., He, JH., Fu, Y. (eds) Computational and Information Science. CIS 2004. Lecture Notes in Computer Science, vol 3314. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30497-5_179

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  • DOI: https://doi.org/10.1007/978-3-540-30497-5_179

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-24127-0

  • Online ISBN: 978-3-540-30497-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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