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광원에 따른 텍스타일의 Color Appearance 수치 예측 방법
채영주 한국의류학회 2020 한국의류학회지 Vol.44 No.1
This study suggests a method to predict the color appearance of textiles that shifts depending on illumination variations. The suggested method allows the calculations of lightness, chroma, and hue appearance values from the spectral reflectance values of the textile and illuminant. The accuracy of the method was evaluated through numerical and statistical comparisons between the predicted and the measured color appearance values of 24 fabric samples under CIE standard illuminant D65. As a result, there were excellent agreements between the two data sets with the error values close to zero. The predicted color appearance values of 24 samples under two illuminating (color temperature-luminance) conditions, 2700 K-100 cd/m2 and 6500 K-100 cd/m2, were then compared to prove the significant effect of illumination on the color appearance of textiles. The color appearance values were also compared with spectrophotometrically measured physical color attributes, that is, true colors of the samples. The physical color attributes of samples were unchanged; however, differences in color appearance under different conditions were generally much larger than the suprathreshold color difference tolerances discussed in the color science literature. Finally, the magnitude of the illumination effect depending on the physical color attributes of samples was also analyzed.
채영주,오수경,박성배 한국환경보건학회 1989 한국환경보건학회지 Vol.15 No.1
In order for analysis of the actual condition of commercial life water, 38 samples were investigated during March to December in 1988. The results were as follows 1. All the samples analyzed were suitable for physico chemical criteria drinking water. The mean value of NH$_{3}$-N, NO$_{3}$-N, and KMnO$_{4}$ ,consumption were 0.014, 1.232 and 0.794 respectively. 2. General bacterial counts was detected higher than standard limit by 31.6% of total samples and the positive rate of coliform was 2.6% of total samples.
Kubelka-Munk이론에 기반한 사염직물의 최적화된 구조 -색채모델링
채영주 한국의류학회 2018 한국의류학회지 Vol.42 No.3
In this research, the three-dimensional structural and colorimetrical modeling of yarn-dyed woven fabrics was conducted based on the Kubelka-Munk theory (K-M theory) for their accurate color predictions. In the K-M theory for textile color formulation, the absorption and scattering coefficients, denoted K and S, respectively, of a colored fabric are represented using those of the individual colorants or color components used. One-hundred forty woven fabric samples were produced in a wide range of structures and colors using red, yellow, green, and blue yarns. Through the optimization of previous two-dimensional color prediction models by considering the key three-dimensional structural parameters of woven fabrics, three three-dimensional K/S-based color prediction models, that is, linear K/S, linear log K/S, and exponential K/S models, were developed. To evaluate the performance of the three-dimensional color prediction models, the color differences, ΔL*, ΔC*, Δho, and ΔECMC(2:1), between the predicted and the measured colors of the samples were calculated as error values and then compared with those of previous two-dimensional models. As a result, three-dimensional models have proved to be of substantially higher predictive accuracy than twodimensional models in all lightness, chroma, and hue predictions with much lower ΔL*, ΔC*, Δho, and the resultant ΔECMC(2:1) values.
채영주,이은주 한국섬유공학회 2021 Fibers and polymers Vol.22 No.10
This study quantitatively analyzed how the color appearance of textile fabrics of varying lightness, chroma, andhue changes under a broad spectrum of illumination conditions. The color appearances of 203 chromatic (R, YR, Y, GY, G,BG, B, and RB) and achromatic fabrics were measured spectroradiometrically under 16 light sources with different correlatedcolor temperatures (2700, 4000, 5000, and 6500 K) and luminances (50, 100, 500, and 1000 cd/m2). The color appearancevalues were compared with the spectrophotometrically measured physical color values of the fabrics, which were regarded astheir true colors. The differences ranged up to 12.45 |ΔL*10|, 19.32 |ΔC*ab,10|, 161.83 |Δhab,10|, and 16.70 ΔECMC(2:1) units, whichwere significantly higher than the color discrimination thresholds of the human eye. Among 9 hue groups of fabrics, the colorappearances of BG (bluish-green) fabrics were generally most affected by light sources, while those of achromatic fabricswere least affected with mean ΔECMC(2:1) of 6.32 and 1.03, respectively. It was also found that the correlated color temperatureof light sources significantly affected all the lightness, colorfulness, and hue of fabrics, and the different trends of these effectswere observed for different hue groups. Unlike current knowledge, light sources with a correlated color temperature of6500 K did not always produce color appearances that most closely resemble the actual physical colors. Meanwhile, theluminance of light sources did not have a profound effect on the color appearances of fabrics.