Compact Rotation-Invariant Texture Classification

Southam, P. and Harvey, R. W. ORCID: (2004) Compact Rotation-Invariant Texture Classification. In: International Conference on Image Processing, 2004-10-24 - 2004-10-27.

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This paper constructs a texture feature extractor based on a morphological scale-space. It produces features that are invariant to rotation of the texture. The features are used with a very simple k-nearest neighbour classifier and tested using the Outex methodology. The classifier has comparable performance to a number of benchmark classifiers but uses fewer features. The algorithm is quick to compute and provides insight into the underlying structure of texture.

Item Type: Conference or Workshop Item (Paper)
Faculty \ School: Faculty of Science > School of Computing Sciences
UEA Research Groups: Faculty of Science > Research Groups > Interactive Graphics and Audio
Faculty of Science > Research Groups > Smart Emerging Technologies
Depositing User: Vishal Gautam
Date Deposited: 21 Jun 2011 17:14
Last Modified: 22 Apr 2023 02:46
DOI: 10.1109/ICIP.2004.1421752

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