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Low-Complexity Nonrigid Image Registration Using Feature-Based Diffeomorphic Log-Demons

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Proceedings of International Conference on Computer Vision and Image Processing

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 459))

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Abstract

Traditional hybrid-type nonrigid registration algorithm uses affine transformation or class-specific distortion parameters for global matching assuming linear-type deformations in images. In order to consider generalized and nonlinear-type deformations, this paper presents an approach of feature-based global matching algorithm prior to certain local matching. In particular, the control points in images are identified globally by the well-known robust features such as the SIFT, SURF, or ASIFT and interpolation is carried out by a low-complexity orthogonal polynomial transformation. The local matching is performed using the diffeomorphic Demons, which is a well-established intensity-based registration method. Experiments are carried out on synthetic distortions such as spherical, barrel, and pin-cushion in commonly referred images as well as on real-life distortions in medical images. Results reveal that proposed introduction of feature-based global matching significantly improves registration performance in terms of residual errors, computational complexity, and visual quality as compared to the existing methods including the log-Demons itself.

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Authors and Affiliations

  1. Bangladesh University of Engineering and Technology, 08193, Dhaka, Bangladesh

    Md. Azim Ullah & S. M. Mahbubur Rahman

Authors
  1. Md. Azim Ullah
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  2. S. M. Mahbubur Rahman
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Correspondence to Md. Azim Ullah .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Balasubramanian Raman

  2. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Sanjeev Kumar

  3. Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Partha Pratim Roy

  4. Department of Computer Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India

    Debashis Sen

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Ullah, M.A., Rahman, S.M.M. (2017). Low-Complexity Nonrigid Image Registration Using Feature-Based Diffeomorphic Log-Demons. In: Raman, B., Kumar, S., Roy, P., Sen, D. (eds) Proceedings of International Conference on Computer Vision and Image Processing. Advances in Intelligent Systems and Computing, vol 459. Springer, Singapore. https://doi.org/10.1007/978-981-10-2104-6_32

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  • DOI: https://doi.org/10.1007/978-981-10-2104-6_32

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-2103-9

  • Online ISBN: 978-981-10-2104-6

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