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Rotation Invariant Texture Recognition Using Discriminant Feature Transform

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Book cover Advances in Visual Computing (ISVC 2012)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7432))

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Abstract

This paper presents a new texture representation, the volume Trace transform, based on several Trace transform. The volume Trace transform (VTT) is constructed using multi-trace functional to produce salient features. The VTT is transformed to a distinctive compact representation using our proposed method, the discriminant feature transform (DFT). DFT is a 2-D histogram. The histogram is evaluated by chi-square test statistics. The experimental result was conducted on Brodatz texture database.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, Mahanakorn University of Technology, Bangkok, Thailand, 10530

    Nattapong Jundang & Sanun Srisuk

Authors
  1. Nattapong Jundang
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  2. Sanun Srisuk
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Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Nevada, 89557, Reno, NV, USA

    George Bebis

  2. NASA Ames Research Center, 94035, Moffett Field, CA, USA

    Richard Boyle

  3. Lawrence Berkeley National Laboratory, 94720, Berkeley, CA, USA

    Bahram Parvin

  4. Desert Research Institute, 89512, Reno, NV, USA

    Darko Koracin

  5. Department of Computer Science, University of California at Irvine, 92697-3435, Irvine, CA, USA

    Charless Fowlkes

  6. Eastman Kodak Company, 14650-2102, Rochester, NY, USA

    Sen Wang

  7. Department of Computer Science and Engineering, University of Colorado at Denver, 80217, Denver, CO, USA

    Min-Hyung Choi

  8. VRVis Zentrum für Virtual Reality and Visualisierung, 1220, Vienna, Austria

    Stephan Mantler

  9. California Institute for Telecommunications and Information Technology, University of California,,, San Diego, 92093, La Jolla, CA, USA

    Jürgen Schulze

  10. KAUST Visualizatioin Core Lab., 23955-6900, Thurwal, Saudi Arabia

    Daniel Acevedo

  11. Stony Brook University, 11794-4400, NY, USA

    Klaus Mueller

  12. Argonne National Laboratory, 60439, IL, USA

    Michael Papka

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© 2012 Springer-Verlag Berlin Heidelberg

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Jundang, N., Srisuk, S. (2012). Rotation Invariant Texture Recognition Using Discriminant Feature Transform. In: Bebis, G., et al. Advances in Visual Computing. ISVC 2012. Lecture Notes in Computer Science, vol 7432. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33191-6_43

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  • DOI: https://doi.org/10.1007/978-3-642-33191-6_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33190-9

  • Online ISBN: 978-3-642-33191-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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