• DocumentCode
    3223389
  • Title

    Strain measuring technology based on machine vision

  • Author

    Jianyu Zhao ; Bingqi Lu ; Hai Shen ; Xudong Wang

  • Author_Institution
    Sch. of Electr. Eng., Univ. of Jinan, Jinan, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    4274
  • Lastpage
    4278
  • Abstract
    Aimed at the shortage of traditional contract extensometer measuring method on the tensile test of metal material, the principle of strain measurement based on machine vision was applied to specimen with non-contact precision strain measurement in this paper. To the image preprocessed, a straight line was got by probabilistic Hough transform. Then the edge was refined by using the sub-pixel, finally, a new line was got as the target line combined with the least square linear fitting method. Afterwards, we calculated the pixel length of the target line to get the actual size of the specimen. The test results show that the method is effective, which provides the foundation to the research of high precision strain measurement technique.
  • Keywords
    Hough transforms; computer vision; computerised instrumentation; least squares approximations; probability; strain measurement; contract extensometer measuring method; image preprocessing; least square linear fitting method; machine vision; metal material; noncontact precision strain measurement; probabilistic Hough transform; tensile testing; Cameras; Fitting; Image edge detection; Image segmentation; Strain; Strain measurement; Transforms; Edge Detection; Hough Transform; Machine Vision; Strain Measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7162681
  • Filename
    7162681