M. Pietikäinen, Z. Xu and T. Ojala,
Rotation-Invariant Texture Classification Using Feature
Distributions,
In The 10th Scandinavian Conference on Image Analysis,
Lappeenranta, Finland, pp. 103-110, June 1997.
M. Pietikäinen, Z. Xu and T. Ojala,
Rotation-Invariant Texture Classification Using Feature
Distributions,
In The 10th Scandinavian Conference on Image Analysis,
Lappeenranta, Finland, pp. 103-110, June 1997.A distribution-based classification approach and a set of recently developed texture measures are applied to rotation-invariant texture classification. The performance is compared to that obtained with the well-known circular-symmetric autoregressive (CAR) model approach. A difficult classification problem with 15 different Brodatz textures and seven rotation angles is used in experiments. The results show much better performance for our approach using distributions of single features or joint pairs of features than for the CAR model method with an ordinary kNN classifier.