• Proceedings of the Korean Information Science Society Conference
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• 2002.04b
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• pp.262-264
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• 2002

In this paper we focused on the color representation prob1em based on fuzzy set theory. The main factor is the determination or computation of color membership function and color difference formula. The mathematical formula to calculate the color difference should generate a uniform color scaling, and due to this reason we adopted a CIELAB color- space as a fundamental feature space. With the help of the CIELAB color space we created a new color model, referred to fuzzy color model, which can represent the ambiguous characteristics underlying colors. Based on the proposed color difference formula between fuzzy colors, we could obtain the membership computation method of an arbitrary color for a given color family.

• Journal of the Korean Society of Clothing and Textiles
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• v.43 no.3
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• pp.373-383
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• 2019

This research investigated the effect of individual yarn colors on the perception of overall colors of yarn-dyed woven fabrics. The way the colors of yarn-dyed woven fabrics are perceived is known as visual color mixing: when the different colored yarns juxtaposed on the fabric surface are observed from some distance away, they are visually mixed in our eyes and perceived as a solid color. However, we can still see individual yarn colors that make the fabrics look obviously different from actual solid colors. To quantify this visual color mixing effect, twenty-one sateen fabrics were produced in a wide range of colors using cyan, magenta, and yellow yarns, and the colors were measured instrumentally. The obtained colorimetric values were converted into solid color images on a CRT monitor. Then, the physical fabrics were scanned, and the scanned images were displayed on the monitor with solid color images in pairs for visual color difference evaluation. The woven and solid colors in each pair were of physically identical color; however, the visual color difference was as large as $4.81{\Delta}{E^*}_{ab}$ on average. A visual color difference model was proposed by considering this parametric effect of individual yarn colors.

• Journal of Fashion Business
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• v.23 no.6
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• pp.27-36
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• 2019

This study aimed to analyze the color differences by warp direction of textile mosaics by focusing on two representative textile wallcovering types, woven and string. Mosaics made of string can be expressed as having three-dimensionality based on color differences resulting from the warp direction of the string. String wallcoverings, unlike woven or non-woven wallcoverings, only have vertically oriented warp lamination on the backing paper without weft, and therefore, the reflection and backing color can be expressed differently depending on the angle of the mosaic. In this study, two identical wallcoverings were manufactured using the same materials but using different textile types, woven and string. The wallcoverings underwent die-cutting by each angle and were deployed in cube form. The analysis was based on ISO 5631-1:2015. The color difference between the two wallcoverings, woven and string, was shown as ΔE* 9.29. Based on the standard deviation of the color difference for each mosaic angle, woven ranged from ΔE* 0.09 to 0.94 and string ranged from ΔE* 1.92 to 3.74, showing a larger color difference. Thus, using the color differences of string to create a mosaic wallcovering improved dimensionality.

• Korean Journal of Rural Living Science
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• v.10 no.2
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• pp.28-36
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• 1999

The purpose of this study was to examine the best condition for dyeing silk in green color used kudzu-vine leaves which were available everywhere in our country except winter. Dyeing experiments were done under various dyeing conditions according to extracting method of dyebath from kudsu-vine leaves, pH of dyebath, dyeing time, concentration of dyebath and mordants which were treated after dyeing. Color difference ($\Delta$E) and Munsell's HV/C and color fastness to drycleaning, washing, perspiration and light were measured. The main results were as follows : 1. The color difference of dyed silk increased in dyebath B & C which were extracted in alkali water comparing with dyebath A which was extracted in distilled water. In dyebath B & C, the color difference was the highest in case of dyebath pH 5.0. 2. The colors of fabrics dyed in dyebath A were mainly yellow and the colors in dyebath B & C were yellow green. 3. The color differences of dyed silk increased according to dyeing time and concentration of dyebath. 4. The color were changed with the treatment of mordants. The most strong green color could get in Cu mordant treatment in dyebath C, pH 5.0, and concentration 4. 5. The peak of reflectance within the visible light of the fabric dyed in the most strong green color could be seen in $\lambda$500-520nm. 6. On the whole, the colorfastness of experimental fabrics dyed in dyebath B, C and Cu mordant treatment was good except the colorfastness to the light.

• Korean Journal of Materials Research
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• v.15 no.4
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• pp.252-256
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• 2005

We removed the bluish of the natural ruby successfully by vacuum annealing, and measured the color evolution with annealing time and temperature. We varied the anneal temperature and time $800\~1500^{\circ}C$ and $3\~26$ hrs, respectively. The color evolution of rubies with annealing condition was recorded by a digital camera and a color coordination visible spectrometer. We determined the optimum bluish eliminating annealing condition was $1500^{\circ}C-3hr$, which conserving the natural inclusions. We suggest the bluish shrink with diffusion coefficient of $D=(5\times10^{-3}){\exp}(-200.000/RT)[cm^2/s]$. We propose the color of ruby may be determined as the identical red color if the color difference between two samples are less than 1.0, and the color difference nay be an auxiliary standard to evaluate the color of rubies.

• Journal of Korean Society for Quality Management
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• v.48 no.3
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• pp.481-492
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• 2020

Purpose: The purpose of this study was to minimize the difference between color of fibers of combat uniforms occurring depending on the type of dye or process of each manufacturer. Methods: Color difference between combat uniforms made from different manufacturers in mass production by lot was analyzed using spectrophotometer and calculated by color difference formula. Results: By the results of analyzing the color difference between combat uniforms made from different manufacturers with moving average and time series analysis, the feedback to each manufacturer was given. Conclusion: By this study, the color deviation of combat uniforms from different manufacturers was improved to be reduced.

• 한국정보디스플레이학회:학술대회논문집
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• 2008.10a
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• pp.1222-1225
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• 2008

The power efficiency of a full-color OLED display decreases with long-term operation because of the material characteristics. The lifetime of the OLED display also decreases as the power efficiency declines. Therefore, this work provides a novel color difference algorithm to improve the power consumption and extend the OLED lifetime.

• Journal of the Korean Graphic Arts Communication Society
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• v.24 no.1
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• pp.23-34
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• 2006

Color reproduction is one of the most important expression factors in digital printing. In this paper, an experiment was done where the characteristics of color reproduction in digital printing. The results could summarized as follows. The printing used device profile showed a color difference of less than printing used default value in digital printing. As a result of weighting color difference, a difference between color gamut of digital original and color gamut of printing, when transforming the RGB color space to CMY color space, a exclusion the gray revision. The solution is to optimize the color transformation by gamut mapping and gray revision.

• The Journal of Korean Academy of Prosthodontics
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• v.42 no.1
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• pp.41-48
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• 2004

Statement of problem : The Cement as well as restoration required esthetics for making natural color restoration. Purpose : The purpose of this research is to evaluate color stability of restoration intermediated by resin cement which is used for cementation of all ceramic crown. Material and method : After making Empress 2 ingot into the size of $10mm{\times}10mm{\times}1mm$ according to indication, it glazed and made 48 Empress 2 blocks. Three kinds of resin cement(Rely-X, Variolink 2, Choice) having same shade cemented between Empress 2 blocks and Ivory shade tiles and made 48 specimens in the thickness of $30{\mu}m$ and $80{\mu}m$. After measureing color difference using spectorphotomenter, the result of this study were as follows. Results : The color difference of resin cement used in experiment increased in the order Rely-X, Variolink 2. As the thickness of cement increases, the color difference of all kinds of cement found statistically sifnificant difference but, this result is clinically acceptable. Conclusion : More resarch would have to be done in order to decrease the color difference as cement's thickness.

• Journal of Technologic Dentistry
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• v.44 no.4
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• pp.118-125
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• 2022

Purpose: The color of dental zirconia is very important in terms of aesthetics. To reproduce the color tone, a colorant is applied to zirconia to express the color tone. I would like to point out that the color, brightness, and saturation of the colorant used to express the color A3 may vary depending on the manufacturer. Methods: Each zirconia block received a total of 25 circular specimens for the experiment. The zirconia specimen was then deposited by colorant type to reproduce the color tone. Color differences and translucency were measured using a spectrophotometer. To compare and analyze the zirconia color according to the type of colorant, one-way ANOVA was used. Results: For each type of zirconia colorant, there was no statistically significant difference in translucency or b^* (p>0.05). There was a statistical difference in L^* and a^* (p<0.05). Conclusion: The ΔE^*ab (D65) value is less than 5.5 or less, and the color difference is within an acceptable range.