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Article Dans Une Revue Applied Sciences Année : 2022

Reflectance Transformation Imaging as a Tool for Computer-Aided Visual Inspection

Abir Zendagui
  • Fonction : Auteur
Gaëtan Le Goïc
  • Fonction : Auteur
Hermine Chatoux
Pierre Jochum
  • Fonction : Auteur
Stéphane Maniglier
  • Fonction : Auteur
Alamin Mansouri
  • Fonction : Auteur

Résumé

This work investigates the use of Reflectance Transformation Imaging (RTI) rendering for visual inspection. This imaging technique is being used more and more often for the inspection of the visual quality of manufactured surfaces. It allows reconstructing a dynamic virtual rendering of a surface from the acquisition of a sequence of images where only the illumination direction varies. We investigate, through psychometric experimentation, the influence of different essential parameters in the RTI approach, including modeling methods, the number of lighting positions and the measurement scale. In addition, to include the dynamic aspect of perception mechanisms in the methodology, the psychometric experiments are based on a design of experiments approach and conducted on reconstructed visual rendering videos. The proposed methodology is applied to different industrial surfaces. The results show that the RTI approach can be a relevant tool for computer-aided visual inspection. The proposed methodology makes it possible to objectively quantify the influence of RTI acquisition and processing factors on the perception of visual properties, and the results obtained show that their impact in terms of visual perception can be significant.
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Origine : Publication financée par une institution

Dates et versions

hal-03833378 , version 1 (06-02-2024)

Identifiants

Citer

Abir Zendagui, Gaëtan Le Goïc, Hermine Chatoux, Jean-Baptiste Thomas, Pierre Jochum, et al.. Reflectance Transformation Imaging as a Tool for Computer-Aided Visual Inspection. Applied Sciences, 2022, 12 (13), pp.6610. ⟨10.3390/app12136610⟩. ⟨hal-03833378⟩
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