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Pattern Analysis and Applications

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01-02-2006 | Theoretical Advances

Classifying image texture with statistical landscape features

Authors: Cun Lu Xu, Yan Qiu Chen

Published in: Pattern Analysis and Applications | Issue 4/2006

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Abstract

This paper proposes to use three-dimensional information derived from the graph of an image function for texture description. The graph of an image function is a rumpled surface appearing like a landscape. To characterize the texture through this landscape, six novel texture feature curves based on the statistics of the geometrical and topological properties of the solids shaped by the graph and a variable horizontal plane are used. The proposed statistical landscape features have been shown by systematic experiments to offer very low error rates on a large subset of the Brodatz texture album having excluded some nonhomogeneous images, the entire Brodatz texture set, as well as the VisTex texture collection.

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Title: Classifying image texture with statistical landscape features
Authors: Cun Lu Xu
Yan Qiu Chen
Publication date: 01-02-2006
Publisher: Springer-Verlag
Published in: Pattern Analysis and Applications / Issue 4/2006
Print ISSN: 1433-7541
Electronic ISSN: 1433-755X
DOI: https://doi.org/10.1007/s10044-005-0014-6

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