An improved centroid location algorithm for Infrared LED feature points

Shaoqiong Wang; Bixi Yan; Mingli Dong; Jun Wang; Peng Sun

doi:10.1117/12.2035814

10 October 2013 An improved centroid location algorithm for Infrared LED feature points

Shaoqiong Wang, Bixi Yan, Mingli Dong, Jun Wang, Peng Sun

Proceedings Volume 8916, Sixth International Symposium on Precision Mechanical Measurements; 891619 (2013) https://doi.org/10.1117/12.2035814
Event: Sixth International Symposium on Precision Mechanical Measurements, 2013, Guiyang, China

Abstract

The precision of centroid location for infrared LED point images is an important factor, which affects the precision of the light-pen Coordinate Measuring Machining (CMM) .In this paper, the error model using the traditional center of mass (COM) algorithm is analyzed and it is shown that there are systematic error and random error. This paper analyzes the systematic error and random error, and then adopts the Gaussian surface fitting (GSF) algorithm and weighted centre-ofgravity (WCOG) algorithm to compensate systematic errors, meanwhile it analyzes how to reduce random error. The simulation results show that the accuracy of the infrared LED point position can be enhanced from 1/ 20 pixel to 1/100 pixel using the new algorithm.

Citation Download Citation

Shaoqiong Wang, Bixi Yan, Mingli Dong, Jun Wang, and Peng Sun "An improved centroid location algorithm for Infrared LED feature points", Proc. SPIE 8916, Sixth International Symposium on Precision Mechanical Measurements, 891619 (10 October 2013); https://doi.org/10.1117/12.2035814

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