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Measuring color differences in gonioapparent materials used in the automotive industry
- Source :
- Digibug. Repositorio Institucional de la Universidad de Granada, instname, RUA. Repositorio Institucional de la Universidad de Alicante, Universidad de Alicante (UA)
- Publication Year :
- 2015
- Publisher :
- IOP Publishing, 2015.
-
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.<br />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).
- Subjects :
- Lightness
History
Engineering
business.industry
Color
CIECAM02
Function (mathematics)
Measure
Quality
Measure (mathematics)
Color differences
Computer Science Applications
Education
Weighting
Active appearance model
Set (abstract data type)
Gonioapparent materials
Gonioapparent material
Artificial color-vision applications
business
Power function
Algorithm
Simulation
Automotive industry
Óptica
Subjects
Details
- ISSN :
- 17426596, 17426588, and 34583467
- Volume :
- 605
- Database :
- OpenAIRE
- Journal :
- Journal of Physics: Conference Series
- Accession number :
- edsair.doi.dedup.....3c1a982e35dcb1e94837cf24152ddad5