Compact Rotation-Invariant Texture Classification

P. Southam, R. W. Harvey

Research output: Contribution to conferencePaper

6 Citations (Scopus)


This paper constructs a texture feature extractor based on a morphological scale-space. It produces features that are invariant to rotation of the texture. The features are used with a very simple k-nearest neighbour classifier and tested using the Outex methodology. The classifier has comparable performance to a number of benchmark classifiers but uses fewer features. The algorithm is quick to compute and provides insight into the underlying structure of texture.
Original languageEnglish
Number of pages4
Publication statusPublished - Oct 2004
EventInternational Conference on Image Processing -
Duration: 24 Oct 200427 Oct 2004


ConferenceInternational Conference on Image Processing

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