조명전기설비학회논문지 (Journal of the Korean Institute of Illuminating and Electrical Installation Engineers)

  • 제20권6호
  • /
  • Pages.26-34
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  • 2006
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  • 1229-4691(pISSN)
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  • 2287-5034(eISSN)
한국조명전기설비학회 (The Korean Institute of IIIuminating and Electrical Installation Engineers)
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스테레오 비젼을 이용한 BGA 소자의 볼 높이 측정 알고리즘에 관한 연구

A study on the Measurement Algorithm for the Ball Height of BGA Device Using Stereo Vision

  • 김준식 (호서대학교 전자공학과) ;
  • 박영순 ((주)에버테크노 종합연구소)
  • 발행 : 2006.07.31
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초록

본 논문에서는 고 해상도의 CCD카메라를 이용하여 정밀 소자인 BGA(Ball Grid Array)의 2차원 영상을 얻어 BGA소자의 볼 높이 결함을 검출하기 위한 스테레오 영상 모델링 기법에 관하여 연구하고 결함 검출 알고리즘을 제안한다. 논문에서 BGA 소자의 패키지/볼 영역 검출 알고리즘, FOV 조정(calibration), 정점 정합 알고리즘과 높이 측정 방법을 제안한다. 각각의 BGA소자의 결함에 따른 검출 방법을 제안하고 실험을 통해서 성능을 검증하였다.

In this paper, We proposed he algorithm for defect extraction and a study of the stereo image modeling o inspect defect for the ball height of BGA(ball grid way) device using 2-dimensional images captured by the BGA device of using the high resolution CCD cameras. This paper propose the package/ball area extraction of BGA device part, the FOV(field of view) calibration part, the top point matching part, and ball height measurement method. Each BGA device propose extraction method by defect, Through the experiment, we verified the result.

키워드

참고문헌

  1. Linda G. Shapiro, George C. Stockman, Computer Vision, Prentice Hall, pp. 388-407, 2001
  2. Lae-Hong Park, 'The Vision System for Object Cognition of 3-Dimension', The Institute of Electronics Engineers of Korea Vol.2, 128, pp. 57-58, 1985
  3. Young-Woo Chol, Lae-Hong Park, 'Stereo Vision and Application', The Institute of Electronics Engineers of Korea, Vol. 10, 128, pp. 36-38, 1994
  4. Woon- Tack Woo, Hong Jong, 'Stochastic Model for Unification of Stereo Vision and Image Restoration', The Institute of Electronics Engineers of Korea, Vol.9, 298, pp. 37-38, 1992
  5. Jin-H,yeok Lim, 'A Developrrent of Algorithm for Result of Correspondence problem in Stereo Vision', Department of Electronics Engineering, The Graduate School KAIST, pp. 1-9, 1992
  6. The MIT Press, Three-Dirrensional Computer Vision, Olivier Faugeras. pp. 165-206, 2001
  7. Emanuele Trucco, Alessandro Verri, Introductory Techniques for 3-D Computer Vision, Prentice Hall, pp. 187-210, 1999
  8. Mei Yu, Gang-Yi Jiang, Sai-Long He, Bo-Kang Yu, Ran-Di Fu, ''New approach to Vision-Based BGA package Inspection', Proceeding of the first international conference on machine learning and cybernetics, Beijing, Vol. 4-5, pp. 1107-1110, November 2002
  9. Dong-Hyeok Jang, 'Embodiment of Digital Image Processing', Information Gate, pp. 95-102. 2001
  10. Kee-Soon Kim, A Study on the Automatic Extraction of the Road Information on the Map Image, Department of Electronics Engineering, The Graduate School Hoseo University, pp. 11-12, 1998
  11. Youn-Soo Kim, A Study on the Real-Time Moving Object Tracking Algorithm using USB camera, Department of Electronics Engineering, The Graduate School Hoseo University, pp. 9- 1 5, 2001
  12. Samsung semiconductor, 'http://www.samsung.com/Products/Semiconductor/', KM416RD8AC
  13. Ki- Tae Bae, A Research of BGA Automation Inspection Using Image Information, Department of Computer Engineering Graduate School, Chonnam National University, 1992

피인용 문헌

  1. 3D Accuracy Enhancement of BGA Shiny Round Ball Using Optical Triangulation Method vol.32, pp.9, 2015, https://doi.org/10.7736/KSPE.2015.32.9.799