Research on Vickers Hardness Image Definition Evaluation Function

Article Preview

Abstract:

A definition evaluation function is proposed for the Vickers hardness indentation images in this paper. Based on the characteristics of Vickers hardness indentation image, we choose the gradient function as definition evaluation criteria for the image. Because of the advantage of Brenner evaluation function and the image features itself, this paper puts forward a new evaluation function at the idea of Brenner evaluation function, that is not only more suitable for evaluating the Vickers hardness indentation image than Brenner function, but also having the merit of it and becoming more practical according to the experiments.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 129-131)

Pages:

134-138

Citation:

Online since:

August 2010

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2010 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] J. Caviedes, S. Gurbuz. No-reference sharpness metric based on local edge kurtosis. International Conference on Image Processing, vol. 3, pp.53-56, (2002).

DOI: 10.1109/icip.2002.1038901

Google Scholar

[2] Y. C. Chung, J. M. Wang, R. R. Bailey, S. W. Chen, and S. L. Chang. A Non-Parametric Blur Measure Based on Edge Analysis for Image Processing Applications. 2004 IEEE Conf. on CIS, Singapore, (2004).

DOI: 10.1109/iccis.2004.1460440

Google Scholar

[3] D. Li, R. M. Mersereau, S. Simske. Blur identification based on kurtosis minimization. Proc. IEEE ICIP, (2005).

DOI: 10.1109/icip.2005.1529898

Google Scholar

[4] A. H Liu. Evaluation of Gray Image Definition Based on Edge Kurtosis in Spstial Domain. 2009 First International Workshop on Education Technology and Computer Science, 472-475(2009).

DOI: 10.1109/etcs.2009.634

Google Scholar

[5] XU Gui-li, LIU Xiao-xia, TIAN Yu-peng, CHENG Yue-hua, LI Peng. Image clarity-evaluation-function method. Infrared and Laser Engineering, Vol. 38, No. 1, (180-184)(2009).

Google Scholar

[6] Ni Jun, Yuan Jiahu, Wu Qinzhang. Identification for Optical Image Definition Based on Edge Feature. CHINESE JOURNAL FO LASERS, Vol. 36, No. 1, pp.172-176(2009).

DOI: 10.3788/cjl20093601.0172

Google Scholar