• DocumentCode
    2578081
  • Title

    Machine Vision Recognition of Disconnection Failure of IC Wafer

  • Author

    Wang, Guitang ; Li, Dongdong ; Wu, Liming ; Deng, Yaohua ; Liu, Runyu

  • Author_Institution
    Sch. of Inf. Eng., Guangdong Univ. of Technol., Guangzhou
  • fYear
    2006
  • fDate
    26-29 Aug. 2006
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The defect exhibited a great variety of kinds have a direct impact in the yield of IC wafer in the lithography process. The missing material defect is an important factor of reducing the yield of IC, it mainly causes circuits to be disconnection failure, so it is important to recognize the missing material defect and ascertain the circuit´s failure style. In this paper, a recognition method for disconnection failure of the missing material defect based on skeleton character is presented. The thinning algorithm is used to extract the skeleton of image. The principle of deleting redundant points and branches is introduced to get the skeleton of single pixel and single direction. Then, the method of neighborhood field tracking is used to recognizing the disconnection circuits
  • Keywords
    computer vision; failure analysis; integrated circuit yield; lithography; IC wafer yield; disconnection failure; lithography; machine vision recognition; missing material defect; neighborhood field tracking; redundant points deleting; skeleton character; skeleton extraction; thinning algorithm; Arithmetic; Character recognition; Circuits; Failure analysis; Lithography; Machine vision; Pixel; Production; Skeleton; Wire; IC wafer; Machine vision; Missing material defect; Skeleton extraction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Packaging Technology, 2006. ICEPT '06. 7th International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    1-4244-0619-6
  • Electronic_ISBN
    1-4244-0620-X
  • Type

    conf

  • DOI
    10.1109/ICEPT.2006.359658
  • Filename
    4199016