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.
|Number of pages||4|
|Publication status||Published - Oct 2004|
|Event||International Conference on Image Processing - |
Duration: 24 Oct 2004 → 27 Oct 2004
|Conference||International Conference on Image Processing|
|Period||24/10/04 → 27/10/04|