Multi-resolution Texture Classification Based on Local Image Orientation

Authors:
Ovidiu Ghita;Paul F. Whelan;Dana E. Ilea
Affiliations:
Vision Systems Group, Dublin City University, Dublin 9, Ireland;Vision Systems Group, Dublin City University, Dublin 9, Ireland;Vision Systems Group, Dublin City University, Dublin 9, Ireland
Venue:
ICIAR '08 Proceedings of the 5th international conference on Image Analysis and Recognition
Year:
2008

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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.