Brzakovic D, Vujovic N. Designing a defect classification system: a case study [J]. Pattern Recognition, 1996, 29 ( 8 ) : 1401 - 1419.
[2]
Tolba A S, Abu-Rezeq A N. A self-organizing feature map for automated visual inspection of textile products [J]. Computers in Industry, 1997, 32(3) : 319-333.
[3]
Karayiannis Y A. Defect detection and classification on web textile fabric using muhiresolution decomposition and neural networks [ A ]. In: Proceedings of IEEE International Conference on Electronics, Circuits and Systems [C] , Blacksburg, Virginia, USA, 1999: 765 -768.
[4]
Cvetkovic Z, Vetterli M. Oversampled filter banks[J]. IEEE Transactions on Signal Processing, 1998, 45 ( 5 ) : 1245-1255.
[5]
Juang B H, Katagiri S. Discriminant learning for minimum error classification[J] . IEEE Transactions on Signal Processing, 1992, 40(12) : 3043-3054.
[6]
Watanabe H, Yamaguchi T, Katagiri S. Discriminant metric design for robust pattern recognition [J]. IEEE Transactions on Signal Processing, 1997, 45( 11 ) : 2655-2662.
[7]
Huo Q, Gc Y, Feng Z. High performance chinese OCR based on Gabor features, discriminative feature extraction and model training [ A ]. In: Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing[C], Salt Lake City, Utah, USA,2001 : 1517-1520.
[8]
Laine A, Fan J. Frame representations for texture segmentation [J]. IEEE Transactions on Image Processing, 1996, 5 (5) : 771-780.
[9]
Srinivasan K, Dastor P H, Radhakrishnaihan P, et al. FDAS: A knowledge-based frame detection work for analysis of defects in woven textile structures [J] . Journal of Textile Institute, 1992, 83(3) : 431-447. ~
[10]
Bradshaw M. The application of machine vision to the automated inspection of knitted fabrics [J] . Mechatronics, 1995, 29 ( 8 ) : 233-243.
[11]
Rohrmus D. Invariant web defect detection and classification system [ A]. In:Proceedings of IEEE International Conference on CVPR [C], Hilton Head, SC, USA,2000: 794-795.
[12]
Unser M. Texture classification and segmentation using wavelet frames [J]. IEEE Transactions on Image Processing, 1995, 4 (11 ) : 1549-1560.
[13]
Katagiri S, Juang B H, Lee C H. Pattern recognition using a family of design algorithms based upon the generalized probabilistic descent method [J]. Proceedings of the IEEE, 1998, 86 ( 11 ) : 2345-2373.
[14]
Biem A, Katagiri S, Juang B H. Pattern recognition based on discriminative feature extraction [J]. IEEE Transactions on Signal Processing, 1997, 45(2) : 500-504.
[15]
Paliwal K K, Bacehiani M, Sagisaka Y. Simultaneous design of feature extractor and pattern classifier using the minimum classification error training algorithm [ A ]. In : Proceedings of IEEE Workshop on Neural Networks for Signal Processing [C] , Cambridge, MA, USA, 1995 : 67 -76.
[16]
Tasy K M, Shyu H K, Chang H P. Feature transformation with generalized learning vector quantization for handwritten Chinese character recognition [J] . IEICE Transactions on Information and Systems, 1999, E82-D (3) : 687-692.
[17]
Fletcher R. Practical Methods of Optimization [M]. New York, USA: Wily, 1987:35-40.
[18]
Yang X, Pang G, Yung N. Discriminative fabric defect detection using adaptive wavelet [J]. Optical Engineering, 2002, 41 ( 12 ) : 3116-3126.