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Multi-resolution texture classification based on local image orientation

Ghita, Ovidiu and Whelan, Paul F. and Ilea, Dana E. (2008) Multi-resolution texture classification based on local image orientation. In: ICIAR 2008 - International Conference on Image Analysis and Recognition, 25-27 June 2008, Póvoa de Varzim, Portugal. ISBN 978-3-540-69811-1

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Abstract

The aim of this paper is to evaluate quantitatively the discriminative power of the image orientation in the texture classification process. In this regard, we have evaluated the performance of two texture classification schemes where the image orientation is extracted using the partial derivatives of the Gaussian function. Since the texture descriptors are dependent on the observation scale, in this study the main emphasis is placed on the implementation of multi-resolution texture analysis schemes. The experimental results were obtained when the analysed texture descriptors were applied to standard texture databases.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Additional Information:The original publication is available at www.springerlink.com
Uncontrolled Keywords:local image orientation; texture classification; SVM; multi-resolution;
Subjects:Computer Science > Image processing
DCU Faculties and Centres:Research Initiatives and Centres > Research Institute for Networks and Communications Engineering (RINCE)
Published in:Image Analysis and Recognition. Lecture Notes in Computer Science 5112. Springer Berlin / Heidelberg. ISBN 978-3-540-69811-1
Publisher:Springer Berlin / Heidelberg
Official URL:http://dx.doi.org/10.1007/978-3-540-69812-8_68
Copyright Information:© Springer 2008
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland
ID Code:4692
Deposited On:10 Jul 2009 13:57 by DORAS Administrator. Last Modified 06 Sep 2010 13:45

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