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Measuring color differences in gonioapparent materials used in the automotive industry
dc.contributor.author | Melgosa Latorre, Manuel | |
dc.contributor.author | Gómez Robledo, Luis | |
dc.contributor.author | Cui, G. | |
dc.contributor.author | Li, C. | |
dc.contributor.author | Perales, E. | |
dc.contributor.author | Martínez-Verdú, F. M. | |
dc.contributor.author | Dauser, T. | |
dc.date.accessioned | 2015-06-16T08:27:14Z | |
dc.date.available | 2015-06-16T08:27:14Z | |
dc.date.issued | 2015 | |
dc.identifier.citation | 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] | es_ES |
dc.identifier.issn | 1742-6588 | |
dc.identifier.uri | http://hdl.handle.net/10481/36637 | |
dc.description.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. | es_ES |
dc.description.sponsorship | 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). | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Institute of Physics (IOP) | es_ES |
dc.subject | Measure | es_ES |
dc.subject | Color | es_ES |
dc.subject | Gonioapparent material | es_ES |
dc.subject | Quality | es_ES |
dc.subject | Artificial color-vision applications | es_ES |
dc.title | Measuring color differences in gonioapparent materials used in the automotive industry | es_ES |
dc.type | journal article | es_ES |
dc.rights.accessRights | open access | es_ES |
dc.identifier.doi | 10.1088/1742-6596/605/1/012006 |