Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Automatic Optical Inspection System for Holograms with Multiple Patterns

다중패턴 홀로그램을 위한 자동광학검사 시스템

  • Published : 2009.05.01
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Abstract

We propose an automatic inspection system for hologram with multiple patterns. The system hardware consists of illuminations, camera, and vision processor. Multiple illuminations using LEDs are arranged in different directions to acquire each image of patterns. The system software consists of pre-processing, pattern generation, and pattern matching. The acquired images of input hologram are compared with their reference patterns by developed matching algorithm. To compensate for the positioning error of input hologram, reference patterns of hologram for different position should be generated in on-line. We apply a frequency transformation based CGH(computer-generated hologram) method to generate reference images. For the fast pattern matching, we also apply the matching method in the frequency domain. Experimental results for hologram of Korean currency are then presented to verify the usefulness of proposed system.

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References

  1. P. Harihama, Optical Holography: Principle Techniques. and Applications, 2nd Ed.,' Cambrige University Press, pp.146-161, 1984
  2. H. Yasuhiko, et al, 'A System for PCB automated inspection using fluorescent light,' IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 10, no. 1, pp. 69-77, https://doi.org/10.1109/34.3868
  3. D. H. Bamhart, N. A. Halliwell, and J. M. Coupland, 'Holographic particle image velocimetry: analysis using a conjugate reconstruction geometry,' Optics & Laser Technology, vol. 32, Issues 7-8, pp. 527-533,2000 https://doi.org/10.1016/S0030-3992(00)00093-1
  4. C. B.-Lefebvre, S. Coetmellec, D. Lebnm, C. Ozkul, 'Application of wavelet transform to hologram analysis:, threedimensional location of particles,' Optics and Laser in Engineering, vol. 33, Issue 6, pp. 409-421,2000 https://doi.org/10.1016/S0143-8166(00)00050-6
  5. J. Janucki and J. Owsik, 'A wiener filter based correlation method intended to evaluate effectiveness of holographic security devices,' Optics Communications, vol. 218, Issues 4-6, pp. 221-228, 2003 https://doi.org/10.1016/S0030-4018(03)01208-2
  6. E. R. Davies, Machine Vision: Theory, Algorithm, Practicalities, 3rd Ed., Morgan Kaufinann, pp. 47-129. 2005
  7. 서춘수, 정만호, '원형 셀을 이용한 Lohmannt형 컴퓨터 형성 홀로그램에 관한 연구,' 한국광학회지, 제17권 제6호, pp. 519-524,2006 https://doi.org/10.3807/KJOP.2006.17.6.519
  8. Frank, Wyrowski, Olof. Bryngdahl, 'Digital phase hologram: Coding and quantization with an error diffusion concept,' Optics Communications, vol. 72, Issues 1-2, pp. 37-41,1989 https://doi.org/10.1016/0030-4018(89)90252-6
  9. B. R. Brown and A.W. Lohmann, IBM J. Res Develop, vol. 13, pp. 160-168, 1969 https://doi.org/10.1147/rd.132.0160
  10. E. O. Brigham, The Fast Fourier Transform, Prentice Hall, pp. 91-146,1974
  11. 강동중, 하종은, 'Visual C++을 이용한 디지털 영상처리,' 사이텍 미디어, pp. 201-215, 2003
  12. M. Uenohara and T. Kanade, 'Use of fourier and Karhunenloeve decomposition for fast pattern matching with a large set of templates,' IEEE Trans. On Pattern Analysis and Machine, vol. 19, no. 8,pp. 891-898, 1997 https://doi.org/10.1109/34.608291
  13. R. C. Gonzalez, R. E. Woods, Digital Image Processing, Prentice Hall, 2002