References
- Liao, C. W., Su, J. C. and Tarng, Y. S., 2008, “Application of the Structured Illumination Method for Automated Visual Inspection of the Loudspeaker Cones,” Jr. of Materials Processing Technology, Vol. 200, No. 1-3, pp. 59-70. https://doi.org/10.1016/j.jmatprotec.2007.11.262
- Shafeek, H. I., Gadelmawla, E. S., Abdel-Shafy, A. A. and Elewa, I. M., 2004,“Automatic Inspection of Gas Pipeline Welding Defects Using an Expert Vision System,” NDT & E International, Vol. 37, No. 4, pp. 301-307. https://doi.org/10.1016/j.ndteint.2003.10.004
- Chan, C. and Grantham, K.H., 2000, “Fabric Defect Detection by Fourier Analysis,” IEEE Trans Ind. Appl., Vol. 36, No. 5, pp. 1267-1275. https://doi.org/10.1109/28.871274
- Rao, B.P.C., 2001, “Visual Techniques in Non-Destructive Testing,” Encyclopedia of Materials: Science and Technology, pp. 6043-6046.
- Hong, K. H., 2006, “A New Circle Detection Algorithm for Pupil and Iris Segmentation from the Occluded RGB images,” The Journal of the Korea Contents Association. pp. 22-26.
- Kim, H. S. and Lee, B. R., 2006, “Real-Time Pipe Fault Detection System using Computer Vision,” IJPEM, 7(1), 30-34.
- Rokhmatuloh, Tateishi, Wikantika, R., Munadi, K. and Aslam, A. M. A., 2003, “Study on the Spectral Quality Preservation Derived from Multisensor Image Fusion Techniques Between JERS-1 SAR and Landsat TM data,” IGARSS '03, Vol. 6, pp. 3656-3658.
- Lu, C. J. and Tsai, D.M., 2004, “Defect Inspection of Patterned TFT-LCD Panels Using a Fast Sub-Image Based SVD,” International Journal of Production Research, Vol. 42, pp. 4331-4351. https://doi.org/10.1080/00207540410001716480
- Wang, F. F., Wang, Z., Mo, X. T., Wang, P., Liu, M., Ren, L., Zhu, Y., Zhang, F. and Liu, W. Y., 2007, “Machine Vision Inspection System for Film,” Machine Vision Inspection System, Vol. 27, No. 3, pp. 212-216.
- Kumar, B. K., Lakshminarayana, A., Kulgod, S. V., Deshpande, P. P., Palod, S., Singh, V. P. and Rao, G. V. S. H., 2006, “Vision Systems for Inspection of Nuclear Fuel Components,” Proc. NDE.
- Lee, M. R., 2000, “Machine Vision System for Curved Surface Inspection,” Mach. Vision Appl., pp. 177-188.
- Ponsa, D., Benavente, R., Lumbreras, F., Martinez, J. and Roca, X., 2003, “Quality Control of Safety Belts by Machine Vision Inspection for Real-Time Production,” Opt. Eng., Vol. 42, No. 4.
- Yun, J. P., Choi, S. H., Seo, B. Y. and Kim, S. W., 2008, “Real-Time Vision-Based Defect Inspection for High-Speed Steel Products,” Opt. Eng., Vol. 57, No.7.
- Zhang, H., Wu, G., Sun, X., Xu, J. and Xu, K., 2007, “A New Fast Border Search Algorithm and Its Expansion,” Proc. IEEE Intl. Conf. Automation Logistics, pp. 1886-1890.
- Denzler, J. and Brown, C., 2002, “Information Theoretic Sensor Data Selection for Active Object Recognition and State Estimation,” IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, pp. 145-157. https://doi.org/10.1109/34.982896
- Arbel, T. and Ferrie, F., 2001, “Entropy-Based Gaze Planning,” Image and Vision Computing, Vol. 19, No. 11, pp. 779-786. https://doi.org/10.1016/S0262-8856(00)00103-7
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