Rotation and gray-scale invariant classification of textures improved by spatial distribution of features

Authors:
Gouchol Pok;Keun Ho Ryu;Jyh-charn Lyu
Affiliations:
Department of Computer Science, Yanbian University of Science and Technology, Yanji, Jilin Province, China;Department of Computer Science, Chungbuk National University, Cheongju, Chungbuk, Korea;Department of Computer Science, Texas A&M University, College Station, Texas
Venue:
DEXA'05 Proceedings of the 16th international conference on Database and Expert Systems Applications
Year:
2005

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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.