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Evaluation of local orientation for texture classification

Ilea, Dana E. and Ghita, Ovidiu and Whelan, Paul F. (2008) Evaluation of local orientation for texture classification. In: VISAPP 2008 - 3rd International Conference on Computer Vision Theory and Applications, 22-25 January 2008, Madeira, Portugal.

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The aim of this paper is to present a study where we evaluate the optimal inclusion of the texture orientation in the classification process. In this paper the orientation for each pixel in the image is extracted using the partial derivatives of the Gaussian function and the main focus of our work is centred on the evaluation of the local dominant orientation (which is calculated by combining the magnitude and local orientation) on the classification results. While the dominant orientation of the texture depends strongly on the observation scale, in this paper we propose to evaluate the macro-texture by calculating the distribution of the dominant orientations for all pixels in the image that sample the texture at micro-level. The experimental results were conducted on standard texture databases and the results indicate that the dominant orientation calculated at micro-level is an appropriate measure for texture description.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Uncontrolled Keywords:image analysis; texture; image orientation; local distributions; observation scale; classification;
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Electronic Engineering
Research Initiatives and Centres > Research Institute for Networks and Communications Engineering (RINCE)
Official URL:
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:14817
Deposited On:25 Aug 2009 11:36 by DORAS Administrator. Last Modified 27 Oct 2017 10:21

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