Cie guidelines for coordinated future work on industrial colour‐difference evaluation

Witt, Klaus

doi:10.1002/col.5080200609

Cited by 62 publications

(56 citation statements)

References 3 publications

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“…The accuracy of this recommendation is not yet well understood, and additional research has been called for. 10,11 In addition, although some recent publications 6,[12][13][14][15] have clearly shown the strong effect of texture in perceived color differences, there are differences in the parametric factors computed, perhaps induced by the dissimilarities in the textures studied. Furthermore, typically only lightness tolerances for textured samples have been studied, 12,15 although investigation of chroma and hue tolerances has been claimed.…”

Section: ͑1͒mentioning

confidence: 99%

Influence of random-dot textures on perception of suprathreshold color differences

2006

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We have analyzed the way in which simulated textures made of random dots influence visual suprathreshold color tolerances. We considered 32 textures created by a systematic variation of the following variables: size, number, and color of the dots. Each texture was mapped on the five centers recommended by the International Commission on Illumination (CIE) in 1978 [Color Res. Appl. 3, 149 (1978)]. A panel of five experienced observers determined the experimental tolerances using a CRT color monitor by the method of adjustment. At our observation distance, neither small differences in dot size (1 or 4 pixels) nor sparse number of dots (less than 20% of the surface of the sample) changed the tolerances found for homogeneous samples. For the textures that led to statistically significant differences with respect to homogeneous samples, the parametric factors of CIEDE2000 and CIE94 color-difference formulas were fitted. These simulated textures consistently reduced the color difference perceived in a pair or, equivalently, increased the tolerances, mainly (but not only) lightness tolerance. The results demonstrate that it is not simple to provide a unique set of parametric factors for all the potential textures.

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Section: ͑1͒mentioning

confidence: 99%

Influence of random-dot textures on perception of suprathreshold color differences

2006

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“…Data was acquired using the SCI 10/D65 method with CIELAB color variables, as defined by the International Commission on Illumination. 21 The specimens were placed on a standard white plate, allowing for the and ∆L*, ∆a*, and ∆b* parameters and gloss level to be determined.…”

Section: Optical and Visual Characterization Of The Samplesmentioning

confidence: 99%

Durability assessment of soft elastomeric capacitor skin for SHM of wind turbine blades

Downey

Pisello

Fortunati

et al. 2018

Nondestructive Characterization and Monitoring of Advanced Materials, Aerospace, Civil Infrastructure, and Transportation XII

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Renewable energy production has become a key research driver during the last decade. Wind energy represents a ready technology for large-scale implementation in locations all around the world. While important research is conducted to optimize wind energy production efficiency, a critical issue consists of monitoring the structural integrity and functionality of these large structures during their operational life cycle. This paper investigates the durability of a soft elastomeric capacitor strain sensing membrane, designed for structural health monitoring of wind turbines, when exposed to aggressive environmental conditions. The sensor is a capacitor made of three thin layers of an SEBS polymer in a sandwich configuration. The inner layer is doped with titania and acts as the dielectric, while the external layers are filled with carbon black and work as the conductive plates. Here, a variety of samples, not limited to the sensor configuration but also including its dielectric layer, were fabricated and tested within an accelerated weathering chamber (QUV) by simulating thermal, humidity, and UV radiation cycles. A variety of other tests were performed in order to characterize their mechanical, thermal, and electrical performance in addition to their solar reflectance. These tests were carried out before and after the QUV exposures of 1, 7, 15, and 30 days. The tests showed that titania inclusions improved the sensor durability against weathering. These findings contribute to better understanding the field behavior of these skin sensors, while future developments will concern the analysis of the sensing properties of the skin after aging. KeywordsSoft elastomeric capacitor, structural health monitoring, durability, titania, titanium dioxide, TiO2, weatherability, environmental degradation ABSTRACTRenewable energy production has become a key research driver during the last decade. Wind energy represents a ready technology for large-scale implementation in locations all around the world. While important research is conducted to optimize wind energy production efficiency, a critical issue consists of monitoring the structural integrity and functionality of these large structures during their operational life cycle. This paper investigates the durability of a soft elastomeric capacitor strain sensing membrane, designed for structural health monitoring of wind turbines, when exposed to aggressive environmental conditions. The sensor is a capacitor made of three thin layers of an SEBS polymer in a sandwich configuration. The inner layer is doped with titania and acts as the dielectric, while the external layers are filled with carbon black and work as the conductive plates. Here, a variety of samples, not limited to the sensor configuration but also including its dielectric layer, were fabricated and tested within an accelerated weathering chamber (QUV) by simulating thermal, humidity, and UV radiation cycles. A variety of other tests were performed in order to characterize their mechanical, thermal, and elect...

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“…(11) [32], because it was successfully employed in previous works [33,34] and was able to compare those values, taking into account the weighted average and standard deviation of the D j values [Eqs. (12) and (13), respectively]:…”

Section: Step 2: Consistency Of Each Color Pairmentioning

confidence: 99%

“…Undoubtedly, a key point for successful future advances in this field would be to achieve a reliable and broad set of color pairs, distributed throughout all regions of color space, visually assessed by a high number of observers with normal color vision using an appropriate methodology. This has long been sought by the International Commission on Illumination (CIE) and different researchers [10][11][12][13][14][15][16].…”

Section: Introduction/purposementioning

confidence: 99%

Method to determine the degrees of consistency in experimental datasets of perceptual color differences

Morillas¹,

Gómez‐Robledo²,

Huertas³

et al. 2016

J. Opt. Soc. Am. A

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We propose a fuzzy method to analyze datasets of perceptual color differences with two main objectives: to detect inconsistencies between couples of color pairs and to assign a degree of consistency to each color pair in a dataset. This method can be thought as the outcome of a previous one developed for a similar purpose [J. Mod. Opt. 56, 1447], whose performance is compared with the proposed one. In this work, we present the results achieved using the dataset employed to develop the current CIE/ISO color-difference formula, CIEDE2000, but the method could be applied to any dataset. Specifically, in the mentioned dataset, we find that some couples of color pairs have contradictory information, which can interfere in the successful development of future colordifference formulas as well as in checking the performance of current ones.

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Cie guidelines for coordinated future work on industrial colour‐difference evaluation

Cited by 62 publications

References 3 publications

Influence of random-dot textures on perception of suprathreshold color differences

Influence of random-dot textures on perception of suprathreshold color differences

Durability assessment of soft elastomeric capacitor skin for SHM of wind turbine blades

Method to determine the degrees of consistency in experimental datasets of perceptual color differences

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