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Edge Projection-Based Image Registration

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Knowledge-Based Intelligent Information and Engineering Systems (KES 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3682))

Abstract

Image registration is a crucial step in all image analysis tasks. In this paper, an edge projection-based image registration method is proposed. First, Radon transform is used to project the edges of images along different directions, then cross-correlation-based approach is used to estimate global rotation and shift, finally polynomial fit is used to improve the accuracy of image registration. Simulation indicates that the proposed method can estimate global rotation and shift accurately and speedily.

This work was supported by the Excellent Young Scientist Award Foundation of Shandong (No. 01BS04) and Open Foundation of National Laboratory on Machine Perception (No. 0403)

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Author information

Authors and Affiliations

  1. School of Information Science and Engineering, Shandong University, 250100, Shandong, Jinan, China

    Hua Yan, Ju Liu & Jiande Sun

  2. National Laboratory on Machine Perception, Beijing, 100871, China

    Hua Yan

Authors
  1. Hua Yan
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  2. Ju Liu
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  3. Jiande Sun
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Editor information

Editors and Affiliations

  1. School of Business, La Trobe University, 3086, Melbourne, Victoria, Australia

    Rajiv Khosla

  2. Centre for SMART systems Engineering Research Centre, University of Brighton, BN2 4GJ, Moulsecoomb, Brighton, UK

    Robert J. Howlett

  3. School of Electrical and Information Engineering, Knowledge Based Intelligent Engineering Systems Centre, University of South Australia, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2005 Springer-Verlag Berlin Heidelberg

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Yan, H., Liu, J., Sun, J. (2005). Edge Projection-Based Image Registration. In: Khosla, R., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2005. Lecture Notes in Computer Science(), vol 3682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552451_170

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  • DOI: https://doi.org/10.1007/11552451_170

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28895-4

  • Online ISBN: 978-3-540-31986-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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