Optimal digital color image correlation

被引：11
|
作者：
Curt, J. [1 ,2 ]
Capaldo, M. [1 ]
Hild, F. [2 ]
Roux, S. [2 ]
机构：
[1] Dept ERMES, EDF R&D, 7 Blvd Gaspard Monge, F-91120 Palaiseau, France
[2] Univ Paris Saclay, LMT, ENS Paris Saclay, CNRS, 61 Ave President Wilson, F-94235 Cachan, France
来源：
OPTICS AND LASERS IN ENGINEERING | 2020年 / 127卷
关键词：
Digital image correlation; Color images; Uncertainty quantification; METRICS;
D O I：
10.1016/j.optlaseng.2019.105896
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
Within the context of Digital Image Correlation (DIC), the optimal treatment of color images is considered. The mathematical bses of a weighted 3-field image correlation are first introduced, which are relevant for RGB encoded images. In this framework, noise characterization methods are developed as noise properties dictate the best suited metric to compare images. Consistent ways to process an image from elementary Bayer matrices are derived. Last, a case study on uncertainty quantification is performed.
引用
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页数：8
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