Optimal digital color image correlation

J Curt (1) , M Capaldo (2) , François Hild (1) , Stéphane Roux (1)

1 LMT - Laboratoire de Mécanique et Technologie
2 EDF R&D - EDF R&D

Within the context of Digital Image Correlation (DIC), the optimal treatment of color images is considered. The mathematical bases 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.

Mots clés: uncertainty quantification; color images; Digital image correlation

Domaines: Mécanique des matériaux [physics.class-ph]

J Curt, M Capaldo, François Hild, Stéphane Roux. Optimal digital color image correlation. Optics and Lasers in Engineering, 2020, 127, pp.105896. ⟨10.1016/j.optlaseng.2019.105896⟩. ⟨hal-02310247⟩