@misc{10481/36637,
year = {2015},
url = {http://hdl.handle.net/10481/36637},
abstract = {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.},
organization = {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).},
publisher = {Institute of Physics (IOP)},
keywords = {Measure},
keywords = {Color},
keywords = {Gonioapparent material},
keywords = {Quality},
keywords = {Artificial color-vision applications},
title = {Measuring color differences in gonioapparent materials used in the automotive industry},
doi = {10.1088/1742-6596/605/1/012006},
author = {Melgosa Latorre, Manuel and Gómez Robledo, Luis and Cui, G. and Li, C. and Perales, E. and Martínez-Verdú, F. M. and Dauser, T.},
}