• DocumentCode
    2197521
  • Title

    A New Method for Automatically Measurement of Vickers Hardness Using Thick Line Hough Transform and Least Square Method

  • Author

    Ji, Yu ; Xu, Aiwei

  • Author_Institution
    Standardization & Fundamental Stand. Inst., China Jiliang Univ., Hangzhou, China
  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    A new method for automatically analysing the digital image of Vickers hardness test using Thick Line Hough Transform and Least Square method fitting is presented. First, edge detection is implemented to obtain the edge points using Sobel operator. Second, Thick Line Hough Transform is utilized to fit the edge points. We could obtain four regions where the four vertexes are inside by computing the intersections of these thick lines. In every region, edge points are clustered into two classes using Hough Transform, and then Least Square method is used to fit two lines. The intersection point of the two lines in every region is the vertex of indentation. Then the length of the diagonal and the Vickers hardness could be computed. Experiments prove that the proposed method is better than the traditional method.
  • Keywords
    Hough transforms; Vickers hardness; edge detection; hardness testing; indentation; least mean squares methods; Sobel operator; Vickers hardness test; digital image; edge detection; edge points; indentation vertex; least square method; thick line Hough transform; Application software; Automatic testing; Digital images; Image analysis; Image edge detection; Least squares methods; Materials testing; Measurement standards; Standardization; Thickness measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4129-7
  • Electronic_ISBN
    978-1-4244-4131-0
  • Type

    conf

  • DOI
    10.1109/CISP.2009.5305653
  • Filename
    5305653