Rotation-invariant colour texture classification through multilayer CCR
Pattern Recognition Letters
Analysis and modelling of diversity contribution to ensemble-based texture recognition performance
MCS'05 Proceedings of the 6th international conference on Multiple Classifier Systems
| Hi-index | 0.00 |
In this paper we investigate the role of colour spaces on texture analysis. We extract a range of correlogram and colour moment features for the VisTex colour texture benchmark in different colour spaces and find the average probabilistic distance of separation across different objects for different features and suggest the colour spaces that are best suited for the classification process. We also show the results of kNN classification for different features and their combined set.