Journal of Industrial Technology (산업기술연구)

  • Volume 17
  • /
  • Pages.21-29
  • /
  • 1997
  • /
  • 1229-9588(pISSN)
  • /
  • 1598-1371(eISSN)
Kangwon National University, Institute of Industrial Technology (강원대학교 산업기술연구소)
권호 표지

Adaptive Image Binarization for Automated Surface Strain Measurment

판재 곡면변형률 자동측정을 위한 적응 2치영상화

  • 신건일 (강원대학교 대학원 전자공학과) ;
  • 권호열 (강원대학교 컴퓨터공학과) ;
  • 김형종 (강원대학교 기계공학과)
  • Published : 1997.10.31
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Abstract

In this paper, an adaptive image binarization scheme is proposed for automated surface strain measurement. At first, we reviewed an image based 3D deformation factor measurement briefly. Then, a new adaptive thresholding method is proposed for the extraction of lattice pattern from a deformed plate image using its local mean and variance. Some experimental results are presented to verify the effectiveness of our approaches.

Keywords

Acknowledgement

Supported by : 강원대학교