Rotation and Gray-Scale Invariant Classification of Textures Improved by Spatial Distribution of Features

  • Gouchol Pok
  • Keun Ho Ryu
  • Jyh-charn Lyu
Conference paper

DOI: 10.1007/11546924_25

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3588)
Cite this paper as:
Pok G., Ryu K.H., Lyu J. (2005) Rotation and Gray-Scale Invariant Classification of Textures Improved by Spatial Distribution of Features. In: Andersen K.V., Debenham J., Wagner R. (eds) Database and Expert Systems Applications. DEXA 2005. Lecture Notes in Computer Science, vol 3588. Springer, Berlin, Heidelberg

Abstract

In this paper, we present a framework for texture descriptors based on spatial distribution of textural features. Our approach is based on the observation that regional properties of textures are well captured by correlations among local texture patterns. The proposed method has been evaluated through experiments using real textures, and has shown significant improvements in recognition rates.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Gouchol Pok
    • 1
  • Keun Ho Ryu
    • 2
  • Jyh-charn Lyu
    • 3
  1. 1.Department of Computer ScienceYanbian University of Science and TechnologyYanjiChina
  2. 2.Department of Computer ScienceChungbuk National UniversityCheongjuKorea
  3. 3.Department of Computer ScienceTexas A&M UniversityCollege StationUSA

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