• DocumentCode
    605739
  • Title

    Optimal method for correct measurement of Line-edge roughness

  • Author

    Insun Sun ; Hong Jeong

  • Author_Institution
    Dept. of Electr. Eng., POSTECH, Pohang, South Korea
  • fYear
    2012
  • fDate
    23-25 Oct. 2012
  • Firstpage
    112
  • Lastpage
    115
  • Abstract
    This paper present a method to measure Line-edge Roughness in Scanning Electron Microscope images with high accuracy based on the digital image processing. As lithography source will be changed from ArF to Extreme UltraViolet (EUV), this trend increases the importance and difficulty of measuring LER. To measure LER accurately, we use two method; image filtering and Curve-fitting. Every digital image is degraded by several noises, so image filtering removes the specific noise and makes edge point of the image clear. Curve-fitting reduces the quantization error. By combining these two method, proposed algorithm can get high accuracy than existing other methods.
  • Keywords
    curve fitting; filtering theory; image denoising; quantisation (signal); scanning electron microscopy; ArF; EUV; LER measurement; curve-fitting; digital image degradation; digital image processing; extreme ultraviolet; image edge point; image filtering; lithography source; noise removal; optimal line-edge roughness measurement method; quantization error reduction; scanning electron microscope images;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Service Science and Data Mining (ISSDM), 2012 6th International Conference on New Trends in
  • Conference_Location
    Taipei
  • Print_ISBN
    978-1-4673-0876-2
  • Type

    conf

  • Filename
    6528416