A Comparison of Texture Features Based on SVM and SOM

Authors:
Chih-Ming Chen;Chien-Chang Chen;Chaur-Chin Chen
Affiliations:
National Tsing Hua University, Hsinchu 300, Taiwan;Hsuan Chang University, Hsinchu 300, Taiwan;National Tsing Hua University, Hsinchu 300, Taiwan
Venue:
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Year:
2006

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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.