• français 
    • español
    • English
    • français
  • FacebookPinterestTwitter
  • español
  • English
  • français
Voir le document 
  •   Accueil de DIGIBUG
  • 1.-Investigación
  • Departamentos, Grupos de Investigación e Institutos
  • Departamento de Óptica
  • DO - Artículos
  • Voir le document
  •   Accueil de DIGIBUG
  • 1.-Investigación
  • Departamentos, Grupos de Investigación e Institutos
  • Departamento de Óptica
  • DO - Artículos
  • Voir le document
JavaScript is disabled for your browser. Some features of this site may not work without it.

Measuring color differences in gonioapparent materials used in the automotive industry

[PDF] Melgosa_GonioapparentMaterial.pdf (887.9Ko)
Identificadores
URI: http://hdl.handle.net/10481/36637
DOI: 10.1088/1742-6596/605/1/012006
ISSN: 1742-6588
Exportar
RISRefworksMendeleyBibtex
Estadísticas
Statistiques d'usage de visualisation
Metadatos
Afficher la notice complète
Auteur
Melgosa Latorre, Manuel; Gómez Robledo, Luis; Cui, G.; Li, C.; Perales, E.; Martínez-Verdú, F. M.; Dauser, T.
Editorial
Institute of Physics (IOP)
Materia
Measure
 
Color
 
Gonioapparent material
 
Quality
 
Artificial color-vision applications
 
Date
2015
Referencia bibliográfica
Melgosa Latorre, M.; et al. Measuring color differences in gonioapparent materials used in the automotive industry. Journal of Physics: conference series, 605: 012006 (2015). [http://hdl.handle.net/10481/36637]
Patrocinador
This research was supported by the Ministry of Economy and Competitiveness of Spain, research projects FIS2013-40661-P and DPI2011-30090-C02, with European Research Development Fund (ERDF), as well as by the National Science Foundation of China (grant number 61178053).
Résumé
This paper illustrates how to design a visual experiment to measure color differences in gonioapparent materials and how to assess the merits of different advanced color-difference formulas trying to predict the results of such experiment. Successful color-difference formulas are necessary for industrial quality control and artificial color-vision applications. A color- difference formula must be accurate under a wide variety of experimental conditions including the use of challenging materials like, for example, gonioapparent samples. Improving the experimental design in a previous paper [Melgosaet al., Optics Express 22, 3458-3467 (2014)], we have tested 11 advanced color-difference formulas from visual assessments performed by a panel of 11 observers with normal colorvision using a set of 56 nearly achromatic colorpairs of automotive gonioapparent samples. Best predictions of our experimental results were found for the AUDI2000 color-difference formula, followed by color-difference formulas based on the color appearance model CIECAM02. Parameters in the original weighting function for lightness in the AUDI2000 formula were optimized obtaining small improvements. However, a power function from results provided by the AUDI2000 formula considerably improved results, producing values close to the inter-observer variability in our visual experiment. Additional research is required to obtain a modified AUDI2000 color-difference formula significantly better than the current one.
Colecciones
  • DO - Artículos

Mon compte

Ouvrir une sessionS'inscrire

Parcourir

Tout DIGIBUGCommunautés et CollectionsPar date de publicationAuteursTitresSujetsFinanciaciónPerfil de autor UGRCette collectionPar date de publicationAuteursTitresSujetsFinanciación

Statistiques

Statistiques d'usage de visualisation

Servicios

Pasos para autoarchivoAyudaLicencias Creative CommonsSHERPA/RoMEODulcinea Biblioteca UniversitariaNos puedes encontrar a través deCondiciones legales

Contactez-nous | Faire parvenir un commentaire