Texture Granularities

Southam, P. and Harvey, R.W. (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

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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
Related URLs:
Depositing User: Vishal Gautam
Date Deposited: 20 Jul 2011 15:41
Last Modified: 22 Apr 2020 10:14
URI: https://ueaeprints.uea.ac.uk/id/eprint/23123
DOI: 10.1007/11553595_37

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