An efficient rotation invariant feature extraction technique for texture classification based on Gabor multi-channel filtering is proposed. In this technique, Gabor function is approximated by a set of steerable basis functions, which results in a significant saving in the computation cost. The classification of 15 classes of Brodatz textures are considered in our experiments. Results show that up to 40% of computation can be saved compared with traditional Gabor multi-channel filtering method. In the mean time, almost the same high texture classification correct rate can be achieved. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Pan, W., Bui, T. D., & Suen, C. Y. (2005). Rotation-invariant texture classification using steerable Gabor filter bank. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3656 LNCS, pp. 746–753). https://doi.org/10.1007/11559573_91
Mendeley helps you to discover research relevant for your work.