Share Email Print
cover

Proceedings Paper

Squared gray weighted centroid algorithm based on bi-cubic interpolation
Author(s): Changying Liu; Yinhan Gao; Yong Zhang
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

A squared gray weighted centroid algorithm based on bi-cubic interpolation is proposed to solve the question of the optical feature precision location in the vision measurement. The location method makes full use of the gray information of feature image and uses the squared gray as weight to increase the function of pixels with higher gray value. At the same time, the bi-cubic interpolation algorithm is used to increase the available pixels to improve the location accuracy. Experimental results show that the location repeatability was less than 0.011 pixels and the location errors were less than 0.01 pixels. The centroid location method has better location accuracy and could be used for the precision location of optical feature for the vision measurement.

Paper Details

Date Published: 12 January 2009
PDF: 5 pages
Proc. SPIE 7133, Fifth International Symposium on Instrumentation Science and Technology, 71332B (12 January 2009); doi: 10.1117/12.821236
Show Author Affiliations
Changying Liu, Jilin Univ. (China)
Yinhan Gao, Jilin Univ. (China)
Yong Zhang, Jilin Univ. (China)


Published in SPIE Proceedings Vol. 7133:
Fifth International Symposium on Instrumentation Science and Technology
Jiubin Tan; Xianfang Wen, Editor(s)

© SPIE. Terms of Use
Back to Top