Database and Expert Systems Applications

Volume 3588 of the series Lecture Notes in Computer Science pp 250-259

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

  • Gouchol PokAffiliated withDepartment of Computer Science, Yanbian University of Science and Technology
  • , Keun Ho RyuAffiliated withDepartment of Computer Science, Chungbuk National University
  • , Jyh-charn LyuAffiliated withDepartment of Computer Science, Texas A&M University

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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.