Image texture classification using datagrams and characteristic views

Authors:
Shisong Yang;Chih-Cheng Hung
Affiliations:
Southern Polytechnic State University, Marietta, GA;Southern Polytechnic State University, Marietta, GA
Venue:
Proceedings of the 2003 ACM symposium on Applied computing
Year:
2003

Citing 2
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Abstract

This paper addresses the problem of image texture classification. A novel texture feature called "characteristic view", which is directly extracted from a kernel corresponding to each texture class, was developed. The K-views template method was used to classify the texture pixels based on these features. The characteristic view concept is based on the assumption that an image taken from the nature scenes, a specific texture class in this image will frequently reveal the repetitions of some certain patterns of features. Different "views" can be obtained as features from different spatial locations. The datagram concept is developed in this paper. Experimental results using datagrams are provided.