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

Institute of Control, Robotics and Systems (제어로봇시스템학회)
권호 표지
DOI QR코드

DOI QR Code

Algorithm for Segmenting Resin Bleed and Melting on the Surface of QFN Packages

QFN 패키지의 Resin Bleed와 Melting 검출 알고리즘

  • 왕명걸 (효서대학교 디지털디스플레이공학과) ;
  • 박덕천 (효서대학교 디지털디스플레이공학과) ;
  • 주효남 (효서대학교 디지털디스플레이공학과) ;
  • 김준식 (호서대학교 전자공학과)
  • Published : 2009.09.01
Download PDF
⟨ Previous Next ⟩

Abstract

There are many different types of surface defects on semiconductor Integrated Chips (IC's) caused by various factors during manufacturing process, such as Scratch, Flash, Resin bleed, and Melting. These defects must be detected and classified by an inspection system for productivity improvement and effective process control. Among defects, in particular, Resin bleed and Melting are the most difficult ones to classify accurately. The brightness value and the shape of Resin bleed and Melting defects are so similar that normally it is difficult to classify the Resin bleed and Melting. In this paper, we propose a segmenting method and a set of features for detecting and classifying the Resin bleed and Melting defects.

Keywords

References

  1. T. C. Lionge and A. Pascual. 'Impact of Quad flat no lead frame package on automated X-ray inspection,' IEEE International Test Conference, pp. 1-10,2007
  2. P.-S. Liao, T.-S. Chen, and P.-C. Chung, 'A fast algorithm for multilevel thresholding,' Journal CJf Information Science And Engineering, vol. 17,pp. 713-727,2001
  3. N. Otsu, 'A threshold selection method form gray-level histogram,' IEEE Trans, System, Man, and Cybernetics, vol. 9, no. 1,pp.62-66, 1979 https://doi.org/10.1109/TSMC.1979.4310076
  4. J. F. Canny, 'A computational approach to edge detection,' IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. PAMI-8, no. 6, pp.679- 698, Nov. 1986 https://doi.org/10.1109/TPAMI.1986.4767851
  5. R. W. Farcbrothcr, Fitting Linear Relationships: A History of the Calculus of Observations 1750-1900. Springer, USA pp. 50-60, 1999
  6. R. C. Gonzalez and R. E. Woods, Digital Image Processing, 3nd Ed., Prentice Hall, USA, pp. 749-752,2001