1981
DOI: 10.1002/col.5080060403
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Assessment of Color‐Measuring Instruments

Abstract: The U.S. Army has undertaken a program to develop an instrumental method for assessing the acceptability of textiles for color difference from a standard. This article reports the results of the first phase of the program, an assessment of three commercial color‐measuring instruments (Diano Match‐Scan, Hunter D‐54P‐5, Macbeth MS‐2000) for objective textile acceptability judgment. It is concluded that the three instruments are essentially equivalent in the precision and accuracy of the measurement of color and … Show more

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Cited by 50 publications
(27 citation statements)
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“…One important conclusion is that traditional color difference calculations (ie: DE* ab and all its univariate derivatives) are not distributed as normal random variables. 7 Hence statistics such as variance and standard deviation, often applied to color difference data, are not strictly appropriate for these data.…”
Section: Description Of Methodsmentioning
confidence: 99%
“…One important conclusion is that traditional color difference calculations (ie: DE* ab and all its univariate derivatives) are not distributed as normal random variables. 7 Hence statistics such as variance and standard deviation, often applied to color difference data, are not strictly appropriate for these data.…”
Section: Description Of Methodsmentioning
confidence: 99%
“…For optimum results, these devices should be sufficiently accurate and should achieve high repeatability with low measurement uncertainty. Numerous studies have analyzed the repeatability [14][15][16][17][18][19][20][21] and accuracy [22][23][24][25][26][27] of commercial color-measuring devices. This in vitro study compared the L*C*h8 color coordinates of four dental color-measuring devices with those of a spectrophotometric reference system.…”
Section: Introductionmentioning
confidence: 99%
“…To calculate both variability measures, each digital rgb value is transformed into device-independent CIE XYZ tristimulus values by using the ground truth measurements obtained with the spectroradiometer. Then the CIEDE2000 colour difference formula [12] was used to calculate the mean colour difference to the mean value (MCDM) [13], for each colour channel for inter-observer variability. For intraobserver variability, the CIEDE2000 colour difference between each observer's judgments in session 1 and in session 2 was calculated and averaged for each colour channel.…”
Section: Observer Variabilitymentioning
confidence: 99%