| Titre : |
Assessment of sparkle and graininess in effect coatings using a high-resolution gonioreflectometer and psychophysical studies |
| Type de document : |
texte imprimé |
| Auteurs : |
Jiri Filip, Auteur ; Radomir Vavra, Auteur ; Martina Kolafova, Auteur ; Frank J. Maile, Auteur |
| Année de publication : |
2021 |
| Article en page(s) : |
p. 1511-1530 |
| Note générale : |
Bibliogr. |
| Langues : |
Américain (ame) |
| Catégories : |
Evaluation visuelle
Goniométrie
Granulation
Pigments à effets spéciaux
PsychophysiqueLa psychophysique est une branche de la psychologie expérimentale qui cherche à déterminer les relations quantitatives qui existent entre un stimulus physique et la perception qu'on en a. La psychophysique s'intéresse aux sens physiologiques tels que la vue, l'ouïe, le toucher (plus rarement l'odorat ou le goût) mais aussi à des sensations comme la perception du temps ou du mouvement.
Revêtements -- Texture
Surfaces -- Perception visuelle
|
| Index. décimale : |
667.9 Revêtements et enduits |
| Résumé : |
The aim of this article is to propose a model to automatically predict visual judgement of sparkle and graininess of special effect pigments used in industrial coatings. Many applications in the paint and coatings, printing and plastics industry rely on multi-angle color measurements with the aim of properly characterizing the appearance, i.e., the color and texture of the manufactured surfaces. However, when it comes to surfaces containing effect pigments, these methods are in many cases insufficient and it is particularly texture characterization methods that are needed. There are two attributes related to texture that are commonly used: (1) diffuse coarseness or graininess and (2) sparkle or glint impression. In this paper, we analyzed visual perception of both texture attributes using two different psychophysical studies of 38 samples painted with effect coatings including different effect pigments and 31 test persons. Our previous work has shown a good agreement between a study using physical samples with one that uses high-resolution photographs of these sample surfaces. We have also compared the perceived (1) graininess and (2) sparkle with the performance of two commercial instruments that are capable of capturing both attributes. Results have shown a good correlation between the instruments’ readings and the psychophysical studies. Finally, we implemented computational models predicting these texture attributes that have a high correlation with the instrument readings as well as the psychophysical data. By linear scaling of the predicted data using instruments readings, one can use the proposed model for the prediction of graininess and both static and dynamic sparkle values. |
| Note de contenu : |
- RELATED WORK : Visual assessment of effect coatings textures - Modeling and visualization of texture effects of effect coatings - Industrial characterization of texture
- TESTED COATINGS
- METHODOLOGY : experiment 1 - Real samples - Experiment 2 - Photographs of samples
- EXPERIMENTS : Psychophysical evaluation of real samples - Psychophysical evaluation of photographs - Discussion of limitations
- COMPARISON TO INDUSTRIAL DEVICES
- PREDICTION OF SPARKLE AND GRAININESS : Sparkle model - Graininess model
- IMPLICATION TO DYNAMIC SPARKLE MODEL
- Table 1 : Correlations of graininess and sparkle values between experiments using real samples and their photographs for viewing polar angle θv=45∘
- Table 2 : A list of the tested effect coating samples and their composition
- Table 3 : CIE Lab values of the tested coatings and results of their sparkle (S) and graininess (G) psychophysical assessment using real samples and their photographs/video |
| DOI : |
https://doi.org/10.1007/s11998-021-00518-5 |
| En ligne : |
https://link.springer.com/content/pdf/10.1007/s11998-021-00518-5.pdf |
| Format de la ressource électronique : |
Pdf |
| Permalink : |
https://e-campus.itech.fr/pmb/opac_css/index.php?lvl=notice_display&id=36805 |
in JOURNAL OF COATINGS TECHNOLOGY AND RESEARCH > Vol. 18, N° 6 (11/2021) . - p. 1511-1530
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