Nabeel Mohammed and David McG. Squire,
Improved Texture Features for CBIR using Response Scaling
and Locally Normalised Convolution,
In Proceedings of the 11th International Workshop on
Content-Based Multimedia Indexing,
Veszprém, Hungary, pp. 143-148, June 17-19 2013.Independent Component Filters have been shown to be more effective for collection-specific CBIR than generic texture features such as Gabor filter banks. This paper describes changes to a filter selection method and feature extraction process that significantly improve the performance of both ICF- and Gabor filter-based features. We describe, and correct a possible oversight in, a previously published variance-based filter selection method. We also propose the use of locally normalised convolution as a technique to better match texture patterns in images with local intensity differences. We evaluate these changes using a simple CBIR system and our Precision and Recall results are significantly better than those previously published.