[1] MALAMAS E, PETRAKIS G M, ZERVAKIS M, et al. A survey on industrial vision system, applications and tools [J]. Image and Vision Computing, 2003, 21(2): 171188.
[2] NIKHIL R P, SANKAR K P. A review on image segmentation techniques [J]. Pattern Recognition, 1993, 26(9): 12771294.
[3] 张润楚. 多元统计分析 [M]. 北京:科学出版社,2006.
[4] GELADI P, GRAHN H. Multivariate Image Analysis [M].Chichester U K: Wiley, 1996.
[5] ESBENSEN KH, GELADI P. Strategy of multivariate image analysis [J]. Chemometrics and Intelligent Laboratory Systems, 1989, 7(12): 6786.
[6] BHARATI MH, MACGREGOR JF. Multivariate image analysis for realtime process monitoring and control [J]. Industrial & Engineering Chemistry Research, 1998, 37(12): 47154724.
[7] BHARATI MH, MACGREGOR JF. Texture analysis of images using Principal Component Analysis [C]// SPIE/Photonics Conference on Process Imaging for Automatic Control. Boston, MA: SPIE,2000: 2737.
[8] BHARATI M H, MACGREGOR J F, TROPPER W. Softwood lumber grading through online multivariate image analysis techniques [J]. Industrial and Engineering Chemistry Research, 2003, 42(21): 53455353.
[9] PRATSMONTALBAN J M, FERRER A. Integration of colour and textural information in multivariate image analysis: defect detection and classification issues [J]. Journal of Chemometrics, 2007, 21(12): 1023.
[10] GELADI P, ISAKSSON H, LINDQVIST L, et al. Principal component analysis of multivariate images [J]. Chemometrics and Intelligent Laboratory Systems, 1989, 5(3): 209220.
[11] NOMIKOS P, MACGREGOR J F. Multivariate SPC charts for monitoring batch processes [J]. Technometrics, 1995, 37(1): 4159.
[12] GONZALEZ R C, WOODS R E. Digital Image Processing [M], 2th ed. New Jersey, USA: Prentice Hall, 2002. |