Optimal digital color image correlation

•An optimal DIC formulation is proposed for color images based on noise properties.•Correlations in the color space exist for RGB images which can be disen- tangled.•Measurement uncertainty with plain DIC can be made optimal through re-encoding. Within the context of Digital Image Correlation (DIC),...

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Bibliographic Details
Published in:Optics and lasers in engineering 2020-04, Vol.127, p.105896, Article 105896
Main Authors: Curt, J., Capaldo, M., Hild, F., Roux, S.
Format: Article
Language:English
Subjects:
Color images
Digital image correlation
Mechanics
Mechanics of materials
Physics
Uncertainty quantification
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Summary:•An optimal DIC formulation is proposed for color images based on noise properties.•Correlations in the color space exist for RGB images which can be disen- tangled.•Measurement uncertainty with plain DIC can be made optimal through re-encoding. 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.
ISSN:0143-8166
1873-0302
DOI:10.1016/j.optlaseng.2019.105896