Application of Dic Based on Inverse Compositional Algorithm in Fish Skin Tensile Test

Digital image correlation method (DIC) has higher requirements in displacement measurement. For this reason, the application of inverse compositional algorithm in sub pixel displacement measurement is studied, and compared with the traditional algorithms. The grass carp skin high precision stretch t...

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Veröffentlicht in:2018 11th International Conference on Intelligent Computation Technology and Automation (ICICTA) S. 17 - 20
Hauptverfasser: Ge, Pengxiang, Ma, Wanlong, Zhang, Mei, Li, Guihua
Format: Tagungsbericht
Sprache:Englisch
Veröffentlicht: IEEE 01.09.2018
Schlagworte:
Automation
Conferences
digital image correlation
displacement measurement
grass carp skin
Handheld computers
inverse compositional algorithm
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Zusammenfassung:Digital image correlation method (DIC) has higher requirements in displacement measurement. For this reason, the application of inverse compositional algorithm in sub pixel displacement measurement is studied, and compared with the traditional algorithms. The grass carp skin high precision stretch test was taken as the research object, and the inverse compositional algorithm was tested experimentally in the whole pixel and sub pixel level displacement measurement. The results show that the inverse compositional algorithm has obvious advantages in measurement accuracy and meets the requirements of DIC for measurement accuracy in displacement measurement. It provides a good theoretical and experimental basis for full field strain measurement.
DOI:10.1109/ICICTA.2018.00012