Improved visual saliency estimation on manufactured surfaces using high-dynamic reflectance transformation imaging

Marvin Nurit; Gaëtan Le Goïc; S. Maniglier; P. Jochum; H. Chatoux; A. Mansouri

doi:10.1117/12.2589748

16 July 2021 Improved visual saliency estimation on manufactured surfaces using high-dynamic reflectance transformation imaging

Marvin Nurit, Gaëtan Le Goïc, S. Maniglier, P. Jochum, H. Chatoux, A. Mansouri

Author Affiliations +

Proceedings Volume 11794, Fifteenth International Conference on Quality Control by Artificial Vision; 117940G (2021) https://doi.org/10.1117/12.2589748
Event: Fifteenth International Conference on Quality Control by Artificial Vision, 2021, Tokushima, Japan

Abstract

Reflectance Transformation Imaging (RTI) is a technique for estimating the surface local angular reflectance and characterizing the visual properties by varying lighting directions and capturing a set of stereo-photometric images. The proposed method, namely HD-RTI, is based on the coupling of RTI and HDR imaging techniques. The HD-RTI automatically optimizes the necessary exposure times for each angle of illumination by using the response of the scene. Our method is applied to industrial surfaces with micro-scratches from which we will estimate saliency information. Results show that coupling HDR and RTI enhance the characterization and therefore the discrimination on the surfaces visual saliency maps. It leads to an increase in robustness for visual quality assessment tasks.

Citation Download Citation

Marvin Nurit, Gaëtan Le Goïc, S. Maniglier, P. Jochum, H. Chatoux, and A. Mansouri "Improved visual saliency estimation on manufactured surfaces using high-dynamic reflectance transformation imaging", Proc. SPIE 11794, Fifteenth International Conference on Quality Control by Artificial Vision, 117940G (16 July 2021); https://doi.org/10.1117/12.2589748

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