Reflectance Transformation Imaging for the quantitative characterization of experimental fracture surfaces of bonded assemblies

Goïc, Gaëtan Le; Benali, Amen; Nurit, Marvin; Cellard, Christophe; Sohier, Laurent; Mansouri, Alamin; Moretti, A.; Créac’Hcadec, Romain

doi:10.1016/j.engfailanal.2022.106582

Cited by 2 publications

(4 citation statements)

References 24 publications

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“…Recent studies were performed in mechanics in order to characterize composite material damage [9], to control visual quality (defects on metallic surfaces [10] and silver tarnishing over time [11]), and to analyze material fracture, failure or corrosion [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

A New RTI Portable Instrument for Surface Morphological Characterization

Lemesle,

Bigerelle

2024

Hardware

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A new instrument using reflectance transformation imaging (RTI), named MorphoLight, has been developed for surface characterization. This instrument is designed to be adjustable to surfaces, ergonomic, and uses a combination of high-resolution imaging functions, i.e., focus stacking (FS) and high dynamic range (HDR), to improve the image quality. A topographical analysis method is proposed with the instrument. This method is an improvement of the surface gradient characterization by light reflectance (SGCLR) method. This aims to analyze slope/curvature maps, traditionally studied in RTI, but also to find the most relevant lighting position and 3D surface parameter which highlight morphological signatures on surfaces and/or discriminate surfaces. RTI measurements and analyses are performed on two zones, sky and sea, of a naval painting which have the same color palette but different painting strokes. From the statistical analysis using bootstrapping and analysis of variance (ANOVA), it is highlighted that the high-resolution images (stacked and tonemapped from HDR images) improve the image quality and make it possible to better see a difference between both painting zones. This difference is highlighted by the fractal dimension for a lighting position (θ, φ) = (30°, 225°); the fractal dimension of the sea part is higher because of the presence of larger brushstrokes and painting heaps.

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Section: Introductionmentioning

confidence: 99%

A New RTI Portable Instrument for Surface Morphological Characterization

Lemesle,

Bigerelle

2024

Hardware

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“…The functional properties of surfaces cover a large spectrum. A non-exhaustive list includes tribological properties [2,3], properties associated with material mechanics [4], wettability [5], biological properties, and functional parameters linked to light-surface interaction. This approach induces many issues and scientific challenges, in particular, the choice of measurement technology, the choice of the scale for both measurement and analysis tasks, and the choice of filtering and post-treatment methods.…”

Section: Introductionmentioning

confidence: 99%

“…This approach induces many issues and scientific challenges, in particular, the choice of measurement technology, the choice of the scale for both measurement and analysis tasks, and the choice of filtering and post-treatment methods. In this context, the RTI imaging method is currently experiencing significant growth [4,6,7] and is positioned as a complement to conventional techniques in industry, which are often based on 3D microscopy for the measurement of surface roughness.…”

Section: Introductionmentioning

confidence: 99%

“…More recently, this technique has been implemented in the context of a wide variety of industrial applications. These applications have often been related to the challenge of mastering of surface appearance perception and the automation of inspection processes [23,24], although other applications have been found in biomedicine, forensics [25], materials mechanics [4,26], and the analysis of tribological properties [17]. The richness of the contribution of the RTI technique is linked to the quality and variety of surface information that it can estimate.…”

Section: Introductionmentioning

confidence: 99%

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Reflectance Transformation Imaging Visual Saliency: Local and Global Approaches for Visual Inspection of Engineered Surfaces

Nurit

Goïc

Maniglier³

et al. 2022

Applied Sciences

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Reflectance Transformation Imaging (RTI) is a non-contact technique which consists in acquiring a set of multi-light images by varying the direction of the illumination source on a scene or a surface. This technique provides access to a wide variety of local surface attributes which describe the angular reflectance of surfaces as well as their local microgeometry (stereo photometric approach). In the context of the inspection of the visual quality of surfaces, an essential issue is to be able to estimate the local visual saliency of the inspected surfaces from the often-voluminous acquired RTI data in order to quantitatively evaluate the local appearance properties of a surface. In this work, a multi-scale and multi-level methodology is proposed and the approach is extended to allow for the global comparison of different surface roughnesses in terms of their visual properties. The methodology is applied on different industrial surfaces, and the results show that the visual saliency maps thus obtained allow an objective quantitative evaluation of the local and global visual properties on the inspected surfaces.

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Reflectance Transformation Imaging for the quantitative characterization of experimental fracture surfaces of bonded assemblies

Cited by 2 publications

References 24 publications

A New RTI Portable Instrument for Surface Morphological Characterization

A New RTI Portable Instrument for Surface Morphological Characterization

Reflectance Transformation Imaging Visual Saliency: Local and Global Approaches for Visual Inspection of Engineered Surfaces

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