Squared gray weighted centroid algorithm based on bi-cubic interpolation

Changying Liu; Yinhan Gao; Yong Zhang

doi:10.1117/12.821236

12 January 2009 Squared gray weighted centroid algorithm based on bi-cubic interpolation

Changying Liu, Yinhan Gao, Yong Zhang

Proceedings Volume 7133, Fifth International Symposium on Instrumentation Science and Technology; 71332B (2009) https://doi.org/10.1117/12.821236
Event: International Symposium on Instrumentation Science and Technology, 2008, Shenyang, China

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.

Citation Download Citation

Changying Liu, Yinhan Gao, and Yong Zhang "Squared gray weighted centroid algorithm based on bi-cubic interpolation", Proc. SPIE 7133, Fifth International Symposium on Instrumentation Science and Technology, 71332B (12 January 2009); https://doi.org/10.1117/12.821236

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