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Primary-Color-Based Spatial Layout Features and New Image Matching Algorithm Based on Dual Features

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Advances in Artificial Reality and Tele-Existence (ICAT 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4282))

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Abstract

In the area of Content-Based Image Retrieval (CBIR), feature extraction and matching are the key techniques for image retrieval. In order to overcome the drawbacks of commonly used color features, an approach to extract spatial layout feature is presented which is based on images’ primary color, and a new algorithm is also presented for image features matching by combing the spatial layout feature and the color histogram feature. The experimental results show that the new algorithm can achieve much better performance for images with typical spatial layout feature.

The project supported partially by Zhejiang Provincial Natural Science Foundation of China (Grant No.Y105118 & Y105109).

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Author information

Authors and Affiliations

  1. College of Information Engineering, Zhejiang University of Technology, Hangzhou, Zhejiang, 310014, China

    De-cai Huang, Jia Hu & Yuan Yuan

Authors
  1. De-cai Huang
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  2. Jia Hu
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  3. Yuan Yuan
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Editor information

Editors and Affiliations

  1. State Key Lab of CAD and CG, Zhejiang University, Hangzhou, P.R. China

    Zhigeng Pan

  2. Mixed Reality Lab, National University of Singapore, Singapore

    Adrian Cheok

  3. Upper Austria University of Applied Science and Digital Media, Hagenberg, Austria

    Michael Haller

  4. Department of Computer Science, University of Durham, South Road, DH1 3LE, Durham, UK

    Rynson W. H. Lau

  5. Graduate School of Science and Technology, Keio University, 3-14-1 Hiyoshi Kohoku-ku, 223-8522, Yokohama, Japan

    Hideo Saito

  6. College of Information Engineering, Zhejiang University of Technology, 310032, Hangzhou, P.R. China

    Ronghua Liang

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© 2006 Springer-Verlag Berlin Heidelberg

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Huang, Dc., Hu, J., Yuan, Y. (2006). Primary-Color-Based Spatial Layout Features and New Image Matching Algorithm Based on Dual Features. In: Pan, Z., Cheok, A., Haller, M., Lau, R.W.H., Saito, H., Liang, R. (eds) Advances in Artificial Reality and Tele-Existence. ICAT 2006. Lecture Notes in Computer Science, vol 4282. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11941354_50

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  • DOI: https://doi.org/10.1007/11941354_50

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-49776-9

  • Online ISBN: 978-3-540-49779-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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