An automatic hardness measuring method using Hough transform and fuzzy c-means algorithm

Author

Yao, Leehter ; Fang, Chih-Heng

Author_Institution

Dept. of Electr. Eng., Nat. Taipei Univ. of Technol., Taiwan

Volume

2

fYear

2001

Firstpage

842

Abstract

A novel automatic Vickers hardness measuring method is proposed. An algorithm called Hough fuzzy vertices detection algorithm (HFVDA) is proposed. In order to overcome the unavoidable affects of vertex detection due to surface contaminations or specimen texture, HFVDA transforms all the candidate pixels on the indentation edge lines into Hough space. Within Hough space, a weighted fuzzy c-means algorithm along with local maximum detection is proposed to find the transformed indentation edge lines. It will be shown that HFVDA is able to find the indentation vertices and calculate the hardness number with high accuracy for either specular-polished or rough-polished specimens.

Keywords

Hough transforms; Vickers hardness; computer vision; fuzzy set theory; hardness testing; mechanical engineering computing; HFVDA; Hough fuzzy vertices detection algorithm; Hough transform; Vickers hardness measuring method; automatic hardness measuring method; indentation edge lines; local maximum detection; rough-polished specimens; specimen texture; specular-polished specimens; surface contaminations; vertex detection; weighted fuzzy c-means algorithm; Detection algorithms; Equations; Least squares methods; Materials testing; Microscopy; Performance evaluation; Pollution measurement; Surface contamination; Surface texture; Velocity measurement;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 2001. The 10th IEEE International Conference on

Print_ISBN

0-7803-7293-X

Type

conf

DOI

10.1109/FUZZ.2001.1009087

Filename

1009087