TY - GEN
T1 - Rotation invariant texture classification using directional filter bank and support vector machine
AU - Man, Hong
AU - Chen, Ling
AU - Duan, Rong
PY - 2004
Y1 - 2004
N2 - This paper presents a rotation invariant texture classification method using a special directional filter bank (DFB) and support vector machine (SVM). This method extracts a set of coefficient vectors from directional subband domain, and models them as multivariate Gaussian densities. Eigen-analysis is then applied to the covariance metrics of these density functions to form rotation invariant feature vectors. Classification is based on SVM, which only takes non-rotated images for training and uses images at various rotation angles for testing. Experimental results have shown that this DFB is very effective in capturing directional information of texture images, and the proposed rotation invariant feature generation and SVM classification method can in fact achieve relatively consistent classification accuracy on both non-rotated and rotated images.
AB - This paper presents a rotation invariant texture classification method using a special directional filter bank (DFB) and support vector machine (SVM). This method extracts a set of coefficient vectors from directional subband domain, and models them as multivariate Gaussian densities. Eigen-analysis is then applied to the covariance metrics of these density functions to form rotation invariant feature vectors. Classification is based on SVM, which only takes non-rotated images for training and uses images at various rotation angles for testing. Experimental results have shown that this DFB is very effective in capturing directional information of texture images, and the proposed rotation invariant feature generation and SVM classification method can in fact achieve relatively consistent classification accuracy on both non-rotated and rotated images.
UR - http://www.scopus.com/inward/record.url?scp=20444484112&partnerID=8YFLogxK
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U2 - 10.1109/ICIP.2004.1421360
DO - 10.1109/ICIP.2004.1421360
M3 - Conference contribution
AN - SCOPUS:20444484112
SN - 0780385543
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 1545
EP - 1548
BT - 2004 International Conference on Image Processing, ICIP 2004
T2 - 2004 International Conference on Image Processing, ICIP 2004
Y2 - 18 October 2004 through 21 October 2004
ER -