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Proceedings Paper

Testing the AUDI2000 colour-difference formula for solid colours using some visual datasets with usefulness to automotive industry
Author(s): Juan Martínez-García; Manuel Melgosa; Luis Gómez-Robledo; Changjun Li; Min Huang; Haoxue Liu; Guihua Cui; M. Ronnier Luo; Thomas Dauser
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Paper Abstract

Colour-difference formulas are tools employed in colour industries for objective pass/fail decisions of manufactured products. These objective decisions are based on instrumental colour measurements which must reliably predict the subjective colour-difference evaluations performed by observers’ panels. In a previous paper we have tested the performance of different colour-difference formulas using the datasets employed at the development of the last CIErecommended colour-difference formula CIEDE2000, and we found that the AUDI2000 colour-difference formula for solid (homogeneous) colours performed reasonably well, despite the colour pairs in these datasets were not similar to those typically employed in the automotive industry (CIE Publication x038:2013, 465-469). Here we have tested again AUDI2000 together with 11 advanced colour-difference formulas (CIELUV, CIELAB, CMC, BFD, CIE94, CIEDE2000, CAM02-UCS, CAM02-SCD, DIN99d, DIN99b, OSA-GP-Euclidean) for three visual datasets we may consider particularly useful to the automotive industry because of different reasons: 1) 828 metallic colour pairs used to develop the highly reliable RIT-DuPont dataset (Color Res. Appl. 35, 274-283, 2010); 2) printed samples conforming 893 colour pairs with threshold colour differences (J. Opt. Soc. Am. A 29, 883-891, 2012); 3) 150 colour pairs in a tolerance dataset proposed by AUDI. To measure the relative merits of the different tested colour-difference formulas, we employed the STRESS index (J. Opt. Soc. Am. A 24, 1823-1829, 2007), assuming a 95% confidence level. For datasets 1) and 2), AUDI2000 was in the group of the best colour-difference formulas with no significant differences with respect to CIE94, CIEDE2000, CAM02-UCS, DIN99b and DIN99d formulas. For dataset 3) AUDI2000 provided the best results, being statistically significantly better than all other tested colour-difference formulas.

Paper Details

Date Published: 18 November 2013
PDF: 8 pages
Proc. SPIE 8785, 8th Iberoamerican Optics Meeting and 11th Latin American Meeting on Optics, Lasers, and Applications, 87858P (18 November 2013); doi: 10.1117/12.2026601
Show Author Affiliations
Juan Martínez-García, Univ. of Granada (Spain)
Manuel Melgosa, Univ. of Granada (Spain)
Luis Gómez-Robledo, Univ. of Granada (Spain)
Changjun Li, Univ. of Science and Technology Liaoning (China)
Min Huang, Beijing Institute of Graphic Communication (China)
Haoxue Liu, Beijing Institute of Graphic Communication (China)
Guihua Cui, Wenzhou Univ. (China)
M. Ronnier Luo, Univ. of Leeds (United Kingdom)
Zhejiang Univ. (China)
Thomas Dauser, AUDI AG (Germany)


Published in SPIE Proceedings Vol. 8785:
8th Iberoamerican Optics Meeting and 11th Latin American Meeting on Optics, Lasers, and Applications
Manuel Filipe P. C. Martins Costa, Editor(s)

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