• DocumentCode
    539808
  • Title

    Precise Measurement of Two Dimensional Work-pieces on the Low-resolution Vision Condition

  • Author

    Chunjian, Hua ; Ying, Chen

  • Author_Institution
    Sch. of Mech. Eng., Jiangnan Univ., Wuxi, China
  • Volume
    2
  • fYear
    2011
  • fDate
    6-7 Jan. 2011
  • Firstpage
    887
  • Lastpage
    889
  • Abstract
    To solve the problem of precise edge localization and measurement on low-resolution images, statistics characters of edge gradient magnitude of both high and low resolution images along the gradient direction are extracted and analyzed. The gradient magnitude statistics is described with General Gaussian Distribution (GGD). The relationship between statistics of high and low resolution images is established via GGD analysis on training samples, based on which a high resolution gradient image is constructed from a low resolution image. Precise edge location and measurement are then achieved by double threshold edge detection and interpolation. Experiments show that the proposed method has better performance on precise measurement on two dimensional work-pieces than sub-pixel method only based on high precision interpolation.
  • Keywords
    Gaussian distribution; edge detection; image resolution; interpolation; double threshold edge detection; edge gradient magnitude statistics; edge localization; edge measurement; general Gaussian distribution; high precision interpolation; low-resolution images; low-resolution vision condition; two dimensional work-piece precise measurement; Accuracy; Calibration; Image edge detection; Image resolution; Interpolation; Pixel; Size measurement; 2D Measure; General Gaussian Distribution; Gradient Images; High Resolution Reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2011 Third International Conference on
  • Conference_Location
    Shangshai
  • Print_ISBN
    978-1-4244-9010-3
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2011.504
  • Filename
    5721330