Analyzing image texture from blobs perspective

Authors:
Yi Yi Huang;Cun Lu Xu;Yan Qiu Chen
Affiliations:
Shanghai Key Laboratory of Intelligent Information Processing, School of Information Science and Engineering, Fudan University, Shanghai, China;Shanghai Key Laboratory of Intelligent Information Processing, School of Information Science and Engineering, Fudan University, Shanghai, China;Shanghai Key Laboratory of Intelligent Information Processing, School of Information Science and Engineering, Fudan University, Shanghai, China
Venue:
Proceedings of the 2005 joint Chinese-German conference on Cognitive systems
Year:
2005

Citing 2
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Abstract

We introduce in this article a blobs perspective for understanding image texture, and the subsequent motivation to characterize texture through analyzing the blobs in the textured image. Three texture description schemes arising from this motivation are discussed and their performance is experimentally evaluated. The experiment results show that a 94.9% correct classification rate on the entire Brodatz set of 112 different types of texture is achieved, which is the highest classification performance to date among the published methods according to the literature survey carried out by the authors of this article.