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Modified Chamfer Matching Algorithm

  • Conference paper
Intelligent Data Engineering and Automated Learning (IDEAL 2003)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2690))

Abstract

Image matching is an important task. There are many available methods for occluded image matching. In this paper we propose new simple image-matching algorithm, modified chamfer matching algorithm (MCMA). Distance transform and conventional chamfer matching algorithm are explained. Examples to demonstrate the algorithm and necessary results are also included. Proposed MCMA is robust, and to an extent rotation, scale and rotation invariant method.

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References

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology, Rawalpindi, Pakistan

    Abdul Ghafoor

  2. Department of Computer Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology, Rawalpindi, Pakistan

    Rao Naveed Iqbal & Shoab A. Khan

Authors
  1. Abdul Ghafoor
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  2. Rao Naveed Iqbal
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  3. Shoab A. Khan
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong

    Jiming Liu

  2. Department of Computer Science, Hong Kong Baptist University, Hong Kong

    Yiu-ming Cheung

  3. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

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© 2003 Springer-Verlag Berlin Heidelberg

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Ghafoor, A., Iqbal, R.N., Khan, S.A. (2003). Modified Chamfer Matching Algorithm. In: Liu, J., Cheung, Ym., Yin, H. (eds) Intelligent Data Engineering and Automated Learning. IDEAL 2003. Lecture Notes in Computer Science, vol 2690. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45080-1_159

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  • DOI: https://doi.org/10.1007/978-3-540-45080-1_159

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-40550-4

  • Online ISBN: 978-3-540-45080-1

  • eBook Packages: Springer Book Archive

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