Subpixel displacement measurement method based on the combination of particle swarm optimization and gradient algorithm

Chen Guang; Qibo Feng; Keqin Ding; Zhan Gao

doi:10.1117/1.OE.56.10.104101

6 October 2017 Subpixel displacement measurement method based on the combination of particle swarm optimization and gradient algorithm

Chen Guang, Qibo Feng, Keqin Ding, Zhan Gao

Author Affiliations +

Optical Engineering, Vol. 56, Issue 10, 104101 (October 2017). https://doi.org/10.1117/1.OE.56.10.104101

Abstract

A subpixel displacement measurement method based on the combination of particle swarm optimization (PSO) and gradient algorithm (GA) was proposed for accuracy and speed optimization in GA, which is a subpixel displacement measurement method better applied in engineering practice. An initial integer-pixel value was obtained according to the global searching ability of PSO, and then gradient operators were adopted for a subpixel displacement search. A comparison was made between this method and GA by simulated speckle images and rigid-body displacement in metal specimens. The results showed that the computational accuracy of the combination of PSO and GA method reached 0.1 pixel in the simulated speckle images, or even 0.01 pixels in the metal specimen. Also, computational efficiency and the antinoise performance of the improved method were markedly enhanced.

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Chen Guang, Qibo Feng, Keqin Ding, and Zhan Gao "Subpixel displacement measurement method based on the combination of particle swarm optimization and gradient algorithm," Optical Engineering 56(10), 104101 (6 October 2017). https://doi.org/10.1117/1.OE.56.10.104101

Received: 29 March 2017; Accepted: 19 September 2017; Published: 6 October 2017

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