Open AccessStudies on the influence of speckle density on the accuracy of digital image correlation method based on numerical simulation
Author(s) -
Jian Song,
Zibin Liu,
Luo Chuan
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1971/1/012072
Subject(s) - speckle pattern , digital image correlation , measure (data warehouse) , optics , correlation , digital image , duty cycle , image quality , computer science , image (mathematics) , mathematics , artificial intelligence , image processing , physics , geometry , data mining , power (physics) , quantum mechanics
Digital image correlation method is a high-precision non-contact modern optical mechanics method whose measurement accuracy is directly affected by the quality of the speckle pattern used. In this paper, a numerical simulation experiment is designed to measure and analyze the accuracy of DIC method using speckle patterns which are generated with different speckle densities. The results show that the measurement error of DIC decreases first and then increases with the increase of speckle density, and the error is minimum when the duty ratio is about 60% to 70%. The result show that in practical application the duty ratio of speckle on the specimen surface should be appropriately high, preferably between 60% and 70%. This study is helpful for speckle selection and related research in practical application.