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Southam, Paul and Harvey, Richard 
ORCID: https://orcid.org/0000-0001-9925-8316
(2005)
Texture Granularities.
In:
Image Analysis and Processing – ICIAP 2005.
Lecture Notes in Computer Science, 3617
.
Springer Berlin / Heidelberg, pp. 304-311.
ISBN 978-3-540-28869-5
Abstract
We introduce three new texture features that are based on the morphological scale-space operator known as the sieve. The new features are tested on two databases. The first, the Outex texture database, contains Brodatz-like textures captured under constant illumination, scale and rotation. The second, the Outex natural scene database, contains images of real-world scenes taken under variable conditions. The new features are compared to univariate granulometries, with which they have some similarities, and to the dual-tree complex wavelet transform, local binary patterns and co-occurrence matrices. The features based upon the sieve are shown to have the best overall performance.
| Item Type: | Book Section |
|---|---|
| Additional Information: | Proceedings of the 13th International Conference, Cagliari, Italy, September 6-8, 2005 |
| Faculty \ School: | Faculty of Science > School of Computing Sciences |
| UEA Research Groups: | Faculty of Science > Research Groups > Smart Emerging Technologies Faculty of Science > Research Groups > Interactive Graphics and Audio |
| Depositing User: | Vishal Gautam |
| Date Deposited: | 20 Jul 2011 15:41 |
| Last Modified: | 22 Apr 2023 02:37 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/23123 |
| DOI: | 10.1007/11553595_37 |
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