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Southam, P. and Harvey, R. W. 
ORCID: https://orcid.org/0000-0001-9925-8316
(2004)
Compact Rotation-Invariant Texture Classification.
In: International Conference on Image Processing, 2004-10-24 - 2004-10-27.
Abstract
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 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/23416 |
| DOI: | 10.1109/ICIP.2004.1421752 |
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