Acta Optica Sinica, Volume. 38, Issue 6, 0612006(2018)
Application of Digital Image Correlation Method Based on Genetic Algorithm in Micro-Displacement Measurement
Three integer pixel search algorithms of genetic algorithm, particle swarm optimization, and artificial fish swarm algorithm applied in the micro-displacement measurement are studied and compared. The matching precision of the images is evaluated by the size of the correlation coefficient and the normalized cross-correlation function is selected as the correlation coefficient and the objective function of algorithms. The objective function is iteratively solved to obtain the micro-displacement result of the integer pixels. The simulated speckle pattern is taken as the research object, and the matching precision, searching speed, and micro-displacement measurement results for these three algorithms are compared and analyzed. The results show that the genetic algorithm has obvious advantages in the matching precision, searching speed and micro-displacement measurement precision, which can meet the application requirements of the digital image correlation method in the micro-displacement measurement.
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Pengxiang Ge, Pei Ye, Guihua Li. Application of Digital Image Correlation Method Based on Genetic Algorithm in Micro-Displacement Measurement[J]. Acta Optica Sinica, 2018, 38(6): 0612006
Category: Instrumentation, Measurement and Metrology
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Published Online: Jul. 9, 2018
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