Color and Appearance

Nadal, Maria E.; Wyble, Dave; Zarobila, Clarence J.

doi:10.1016/b978-0-12-386022-4.00010-8

Cited by 1 publication

(1 citation statement)

References 34 publications

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“…In addition, they provide visual texture effects (gloss, 11 sparkle 12 or glitter or glint, coarseness 13 or graininess, pearliness, 14 etc), and therefore it requires a complex instrument to characterize these materials completely, and to propose efficient models of visual and instrumental correlation for detection, scaling and discrimination (including tolerances 15,16 ). Thus, in many cases, a conventional optical set-up, 17 typically used in classical spectrophotometers or based on color-imaging systems, 18,19 both for diffuse or directional geometries, is not completely efficient for color management in these industries (automotive, etc. ) In general, a multiangle spectrophotometer characterizes the gonio-color appearance by measuring the spectral relative reflectance factor and the CIELAB values of the sample with different illumination and observation angles.…”

Section: Introductionmentioning

confidence: 99%

Review of instrumental inter‐agreement study of spectral and colorimetric data of commercial multiangle spectrophotometers

Perales

Micó-Vicent

Huraibat

et al. 2018

Color Research & Application

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Several different instruments have been introduced into the market to obtain good color characterization for different measurement configurations. These commercial instruments have different optical and working configurations, however, the measurement data provided by each instrument should be similar to have good consistency when comparing them to each other measuring the same sample material. Therefore, the purpose of this work was to apply an inter‐model agreement study of spectral and colorimetric data of three instruments (CM‐M6, BYK‐mac‐I, and MA98). Two different statistical tests were applied following ASTM recommendations. In general, the measurement geometries close to the specular direction and the flop direction showed greater deviations. In addition, the partial color differences calculated for the comparison of MA98 versus CM‐M6 were larger than the BYK‐mac‐i versus CM‐M6 comparison. Finally, it can be concluded that most of the measurement geometries were statistically significantly different from each other which means that these differences were due to systematic or bias errors and not exclusively to random errors.

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