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http://dx.doi.org/10.17662/ksdim.2011.7.4.081

Automated Visual Inspection System of Double Gear using Inspection System  

Lee, Young Kyo (부천대학교 정보통신과)
Kim, Young Po (한국항공대학교 정보통신공학과)
Publication Information
Journal of Korea Society of Digital Industry and Information Management / v.7, no.4, 2011 , pp. 81-88 More about this Journal
Abstract
Mini Double Gears Frame is critical part of PDP and also produces couple hundred thousand every month. In the process of mass production, product inspection is very important process. Double Gear, one of the part of machine, was inspected by human eyes which caused mistakes and slow progress. To achieve the speed and accuracy the system was compensated by vision system which is inspecting automatically. The focus value is measured based on the fact that high contrast images have much high frequency edge information. High frequency term of the image is extracted using the high-pass filter and the sum of the high frequency term is used as the focus value. We used a Gaussian smoothing filter to reduce the noise and then measures the focus value using the modified Laplacian filter called a Sum modified Laplacian Focus values for the various lens positions are calculated and the position with the maximum focus value is decided as the focused position. The focus values calculated in various lens position showed the Gaussian distribution. We proposed a method to estimate the best focus position using the Gaussian curve fitting. Focus values of the uniform interval lens positions are calculated and the values are used to estimate the Gaussian distribution parameters to find the best focus position.
Keywords
Image Processing; Patterns Matting; Image Study; Visual Inspection; Software Development;
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  • Reference
1 K. Hendengren, "Methodology for Automatic image-based inspection of industrial objects," in Advances in Machine Vision, Sanz J. ed, Springer-Verlag, 1988.
2 Masakazu Eijiri, "Machin Vision A Practical Technology for Advanced Image Processing," Japanese Technology Reviews, Computers and Communications, Vol. 10, Grodon and Breach Science Publishers, 1989.
3 R. T. Chin, and C. A. Harlow, "Automated Visual Inspection: A Survey," IEEE Transaction on Pattern Analysis and Machine Intelligence, Vol. PAMI-4, No.6, Nov. 1982.
4 K. W. Tobin, "Inspection in Semiconductor Manufacturing," Webster's Encyclopedia of Electrical and Electronic Engineering, Vol. 10, Wiley & Sons, NY, NY, 1999, pp. 242-263.
5 M. Subbarao, T. Choi, and A. Nikzad, "Focusing Techniques," Journal of Optical Engineering, Vol. 32 No. 11, November 1993, pp. 2824-2836.   DOI   ScienceOn
6 S. K. Nayar and Y. Nakagawa, "Shape from focus," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 16, Aug. 1994, pp. 824-831.   DOI   ScienceOn
7 Steven C. Chapra, Raymond P. Canale. "Numerical Methods for Engineers, 4th," McGraw-Hill.
8 정수목, "영상의 지역성을 이용한 보간 영상의 화질 개선 기법," 디지털산업정보학회, 6권, 4호, 2010.
9 이규봉, 안인모, 권창완, "머신 비전용 최적 조명 장치 개발에 관한 기본 연구," 한국 생산 기술 연구원, 국내 연구 보고서, 1993.
10 한문용, 한현수, "소형 Hole의 형태 및 크기 측정을 위한 자동초점 비젼 검사기," 한국정밀공학회지, 제16권, 제 10호, 1999.
11 M. Subbarao, T. Choi, and A. Nikzad, "Focusing Techniques," SPIE Conference on Journal of Optical Engineering, vol. 1823, November 1992, pp. 163-174.
12 장성익. "디지털 畵像處理에 의한 焦點 調節알고리즘 및 具現" 서울대학교대학원 박사학위 논문, 1995.
13 Cihan H, Dagli, "Automatic PCB Inspection Algorithms: A Survey," COMPUTER VISION AND IMAGE UNDERSTANDING, Vol. 63, No. 2, March, 1996, pp. 287 - 313.   DOI   ScienceOn
14 조영석, "비전시스템을 이용한 이동물체 자동검사에 관한 연구," 디지털산업정보학회, 5권, 1호, 2009.