A low-cost machine vision system with hardware capabilities of image processing is developed in this research. Several image process algorithms are designed for the developed vision system, namely, image quality selection, image recovery and resize, and image segmentation. All of these mathematical algorithms are programmed and implemented in a microchip using SOPC design tools. Furthermore, the developed machine vision system is utilized in the automatic inspection process to detect the position of a compact disk in CD/DVD duplicators. In the process, the inspection algorithm is based on the two-value image provided by the machine vision system. In the near future, an attempt will be made to apply this vision system to CD/DVD label printers. Meanwhile, the integrated system has the potential usage on many low price automation products.
Keywords: CMOS Vision, Visual Inspection, Machine Vision System, System on a Programmable Chip
REFERENCES
[1] Pai, A. L. and Lee, K., “Automated Visual Inspection of Aircraft Engine Combustor Assemblies,” Proceedings of IEEE International Conference on Robotics and Automation, pp. 19191924 (1986).
[2] Porter, G. B., Cipolla, T. M. and Mundy, J. L., “Automatic Visual Inspection of Blind Holes in Metal Surfaces,” Proceedings of IEEE Conference on Pattern Recognition and Image Processing, pp. 8386 (1979).
[3] Mannos, J. and Sakrison, D., “The effects of a visual fidelity criterion of the encoding of images,” IEEE Transactions on Information Theory, Vol. 20, pp. 525 536 (1974).
[4] Pu, H. C., Liang, S. F. and Lin, C. T., “A HVS-Directed Neural-Network-Based Image Resolution Enhancement Scheme for Image Resizing,” Department of Electrical and Control Engineering, National Chiao-Tung University, Taiwan, (2004).
[5] Gonzalez, R. C. and Woods, R. E., Digital Image Processing, Prentice Hall, (2002).
[6] Yu, W. H. W. and Huang, U. C., “An Efficient Geometric Curve Fitting Technique,” TENCON, Fourth IEEE Region 10 International Conference, pp. 960 963 (1989).
[7] Cheriet, M., Said, J. N. and Suen, C. Y., “A Recursive Thresholding Technique for Image Segmentation,” IEEE Transactions on Image Processing, Vol. 7, pp. 918 921 (1998).
[8] Unser, M., Aldroubi, A. and Eden, M., “Enlargement or Reduction of Digital Images with Minimum Loss of Information,” IEEE Transactions on Image Processing, Vol. 4, pp. 247258 (1995).
[9] Sobel, I. E., Camera Models and Machine Perception, Ph.D. Thesis, Department of Electrical Engineering, Stanford University (1970).
[10] Jensen, K. and Anastassiou, D., “Subpixel Edge Localization and the Interpolation of Still Image,” IEEE Transactions on Image Processing, Vol. 4, pp. 285 295 (1995).
[11] Etoms, ET21X110A User’s manual, Etoms Inc. (2004).
[12] Altera, Stratix EP1S10 User’s manual, Altera Inc., http://www.altera.com.
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