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Gabor Neural Network for Endoscopic Image Registration

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Advances in Neural Networks - ISNN 2006 (ISNN 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3972))

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Abstract

In this paper we present a Gabor Wavelet Network, a wavelet neural network based on Gabor functions, applied to image registration. Although wavelet network is time consuming technique, we decrease computational costs by incorporating three techniques: gradient-based feature selection, Gabor filtering, and wavelet neural network. Similarity criterion is built upon analyzing intensity function with Gabor Wavelet Network, which carries out the image registration by both gradient-based and texture features.

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References

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Author information

Authors and Affiliations

  1. School of Computer Engineering, Nanyang Technological University, 639798, Singapore

    Vladimir Spinko & Daming Shi

  2. School of Mechanical and Aerospace Engineering, Nanyang Technological University, 639798, Singapore

    Wan Sing Ng

  3. Department of Otolaryngology, Singapore General Hospital, 169608, Singapore

    Jern-Lin Leong

Authors
  1. Vladimir Spinko
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  2. Daming Shi
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  3. Wan Sing Ng
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  4. Jern-Lin Leong
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Editor information

Editors and Affiliations

  1. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  2. Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, 610054, Chengdu, P.R. China

    Zhang Yi

  3. Department of Electrical Engineering, University of Louisville, 40292, Louisville, KY, U.S.A

    Jacek M. Zurada

  4. Laboratory for Computational Biology, Shanghai Center for Systems Biomedicine, 800 Dong Chuan Rd., 200240, Shanghai, China

    Bao-Liang Lu

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

    Hujun Yin

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© 2006 Springer-Verlag Berlin Heidelberg

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Spinko, V., Shi, D., Ng, W.S., Leong, JL. (2006). Gabor Neural Network for Endoscopic Image Registration. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3972. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760023_70

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  • DOI: https://doi.org/10.1007/11760023_70

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34437-7

  • Online ISBN: 978-3-540-34438-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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