Robust algorithm for automated microindentation measurement in Vickers hardness testing

被引：10

作者：

Gadermayr, Michael ^{[1
]}

Maier, Andreas ^{[1
]}

Uhl, Andreas ^{[1
]}

机构：

[1] Salzburg Univ, Dept Comp Sci, A-5020 Salzburg, Austria

来源：

JOURNAL OF ELECTRONIC IMAGING | 2012年 / 21卷 / 02期

关键词：

D O I：

10.1117/1.JEI.21.2.021109

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Current algorithms for automated processing of Vickers hardness testing images are unsuitable for a broad range of images that are taken in industrial environments because such images show great variations in the Vickers indentation as well as in the specimen surface. The authors present a three-stage multiresolution template matching algorithm that shows excellent results, even for such challenging images. The capabilities of this algorithm are compared to known algorithms from the literature and results are presented. The comparison is conducted on two significant indentation image databases with 150 and 216 highly varying images. The applicability of the proposed algorithm is further illustrated by its competitive runtime performance. (C) 2012 SPIE and IS&T. [DOI: 10.1117/1.JEI.21.2.021109]

引用

页数：12

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