Title :
A Comparison of Texture Features Based on SVM and SOM
Author :
Chen, Chih-Ming ; Chen, Chien-Chang ; Chen, Chaur-Chin
Author_Institution :
Dept. of Comput. Sci., Nat. TsingHua Univ., Hsinchu
Abstract :
Experimental results of texture features derived from Gabor and other four wavelet transforms classified and clustered based on support vector machine (SVMs) and self-organizing maps (SOMs) are reported in this paper. A comparison of SVM and SOM in texture classification is illustrated. The results show that these texture sets with appropriate classifiers perform reasonably well
Keywords :
image classification; image texture; self-organising feature maps; support vector machines; wavelet transforms; Gabor transforms; self-organizing maps; support vector machine; texture classification; texture features; wavelet transforms; Computer science; Data mining; Frequency; Gabor filters; Information management; Self organizing feature maps; Support vector machine classification; Support vector machines; Training data; Wavelet transforms;
Conference_Titel :
Pattern Recognition, 2006. ICPR 2006. 18th International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2521-0
DOI :
10.1109/ICPR.2006.51
