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
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;
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
DOI :
10.1109/CISP.2009.5305653