• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.17 no.1
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• pp.10-16
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• 2003

The purpose of this study was to investigate the scope of standard color perception for Americans and to compare the differences in color perception between Korean and American undergraduates. Sixty male and fifty-one female American undergraduates were selected as a random sample. Color perception was tested with the naked eyes. Minolta Chroma Meter CR 300 was used for physical measurement of the color. Based on the objective of this study and the data generated the following results were drawn: 1) We found no distinctive difference in color perception by different eye colors. 2) Color perception of American undergraduates is largely classified into four different groups: simple group includes Yellow, Green, Blue, White, Gray, and Black, X(-axis)group includes Yellow Red, Y(-axis)group includes Blue Green, Purple, complex group includes Yellow Red, Purple Blue. 3) The differences in color perception between the two undergraduate groups were found to be significant with four colors: Yellow Red, Green, Blue, and Purple. 4) There is a wide difference between the values of standard color and inn percept color. When undergraduates in both countries were compared, it turned out that Korean students were more accurate than Americans in color perception. 5) American students perceived Red, Yellow, and Green colors relatively correctly, but showed an extremely low degree of accuracy in Blue and Purple Blue color perception.

• Journal of the Korean Solar Energy Society
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• v.40 no.5
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• pp.1-12
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• 2020

To assess the performance and characteristics of colored building-integrated photovoltaic (BIPV) modules, a comparative assessment of empirical performance was conducted on colored BIPV modules (gray, blue, and orange) and general BIPV module. These modules were installed on the south-facing slope (30°) for comparative assessment through a field test. Monitoring data were collected every 10 min from December 20, 2019 to January 21, 2020 and used to performance and characteristics analysis. Performance ratio and module efficiency were utilized during performance indexing for comparative assessment. For general BIPV modules, the operational efficiency was analyzed at 16.63%, whereas for colored BIPV modules, 13.70% (gray), 15.12 % (blue), and 14.49% (orange) were analyzed. It was discovered that the efficiency reduction caused by transmission losses owing to the application of colored cover glasses were 17.74% (gray), 9.05% (blue), and 9.86 % (orange), under field testing conditions. These values turned on an additional 7% reduction in efficiency for gray BIPV modules, compared to the degradation resulting from transmission drop (gray: 10.87%, blue: 8.99%, and orange: 9.02%) calculated using the efficiency of each module in standard test conditions (STC). Performance ratio analysis resulted in the following values: 0.92 for general BIPV modules, and 0.85 (gray), 0.91 (blue), and 0.91 (orange) for colored BIPV modules. As demonstrated by the above results, modules with a colored cover glass may differ in their operational performance depending on their color, unlike general modules. Therefore, in addition to the performance evaluation under STC, additional factors of degradation require consideration through field test.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.05a
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• pp.1677-1683
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• 2006

Color image segmentation is useful for fast retrieval in large image database. For that purpose, new image segmentation technique based on the probability of pixel distribution in the image is proposed. Color image is first divided into R, G, and B channel images. Then, pixel distribution from each of channel image is extracted to select to which it is similar among the well known probabilistic distribution function-Weibull, Exponential, Beta, Gamma, Normal, and Uniform. We use sum of least square error to measure of the quality how well an image is fitted to distribution. That P.d.f has minimum score in relation to sum of square error is chosen. Next, each image is quantized into 4 gray levels by applying thresholds to the c.d.f of the selected distribution of each channel. Finally, three quantized images are combined into one color image to obtain final segmentation result. To show the validity of the proposed method, experiments on some images are performed.

• Journal of Biosystems Engineering
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• v.22 no.1
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• pp.30-40
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• 1997

A computer vision system was built to automatically grade the leaf tobacco. A color image processing algorithm was developed to extract shape, color and texture features. An improved back propagation algorithm in an artificial neural network was applied to grade the Burley type dried leaf tobacco. The success rate of grading in three-grade classification(1, 3, 5) was higher than the rate of grading in six-grade classification(1, 2, 3, 4, 5, off), on the average success rate of both the twenty-five local pixel-set and the sixteen local pixel-set. And, the average grading success rate using both shape and color features was higher than the rate using shape, color and texture features. Thus, the texture feature obtained by the spatial gray level dependence method was found not to be important in grading leaf tobacco. Grading according to the shape, color and texture features obtained by machine vision system seemed to be inadequate for replacing manual grading of Burely type dried leaf tobacco.

• Textile Coloration and Finishing
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• v.35 no.4
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• pp.206-213
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• 2023

This study attempted to investigate what color would fade more during hair bleaching and examine what should be done to make hair color last longer. For this, hair was colored differently in ash gray with permanent hair dyes and semi-permanent hair dyes each. Hair in multiple levels was created through such bleaching. Color retention was improved in consideration of the degree of color fading in sample hair. In terms of post-bleaching hair coloring, it was more efficient to color hair by eliminating redness without hair damage after shampooing with a permanent hair dye. Therefore, it is anticipated that the study results would be highly useful for beauty salons to find a base level in consideration of bleaching effects and make improve- ments according to hair retention and moisturizing effects.

• Journal of the Korean Graphic Arts Communication Society
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• v.25 no.1
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• pp.121-133
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• 2007

The CMS(color management system) software was to enable consistent color reproduction from original to reproduction. The CMS was to create RGB monitor and printer characterization profiles and then use the profiles for device independent color transformation. The implemented CMM(color management module) used the CIELAB color space for the profile connection. Various monitor characterization model was evaluated for proper color transformation. To construct output device profile, SLI(sequential linear interpolation) method was used for the color conversion from CMYK device color to device independent CIELAB color space and tetrahedral interpolation method was used for backward transformation. UCR(under color removal) based black generation algorithm was used to construct CIELAB to CMYK LUT(lookup table). When transforming the CIE Lab colour space to CMYK, it was possible to involve the gray revision method regularized in the brightness into colour transformation process and optimize the colour transformation by black generation method based on UCR technique. For soft copy colour proofing, evaluating several monitor specialism methods showed that LUT algorithm was useful. And it was possible to simplify colour gamut mapping by constructing both the look-up table and the colour gamut mapping algorithm to a reference table.

• KOREAN JOURNAL OF CROP SCIENCE
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• v.68 no.3
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• pp.147-166
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• 2023

Seed color is controlled by several genes and is a key trait in determining the metabolite content and biological activities of legume genotypes. In this study, 296 adzuki bean accessions, including 159 grey, 99 red, and 38 white adzuki beans, were grown in Korea. Variations in total phenolic content (TPC), total saponin content (TSC), DPPH^• scavenging activity, ABTS^•+ scavenging activity, and ferric reducing antioxidant power (FRAP) were assessed and were reported to be in the ranges of 1.52-8.24 mg GAE/g, 14.36-114.22 mg DE/g, 0.23-12.84 mg AAE/g, 1.05-17.66 mg TE/g, and 0.59-13.14 mg AAE/g, respectively, with a wide variation across adzuki beans. Except for DPPH^• scavenging activity, the average values declined in the order gray > red > white adzuki beans, each demonstrating a significant variation (p < 0.05). White adzuki beans, which showed low metabolite content and antioxidant activity, were clearly separated from the gray and red genotypes using principal component and hierarchical cluster analyses. Moreover, TPC, TSC, and antioxidant activities were strongly correlated, regardless of seed color. Overall, the diversity of the TPC, TSC, and antioxidant activity in a broad population of adzuki bean genotypes was determined. Furthermore, this study found that seed color variation in adzuki beans had a significant effect on the metabolite content and antioxidant activity. Superior accessions with high levels of TPC, TSC, and antioxidant activity were also discovered and could be used for functional plant breeding and human consumption. The findings of this study may be useful for understanding the relationship between seed coat color and metabolite concentration in adzuki beans, paving the way for molecular-level analyses.

• Korean Journal of Human Ecology
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• v.19 no.6
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• pp.1071-1082
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• 2010

This study examined the effects of underwear brand identity color on brand equity. A self-administered questionnaire mainly consisted of BI color, brand image, and brand equity for underwear. Five underwear brands (Calvin Klein, Yes, Solb, Venus, and Body Guard) were selected based on the frequency they were purchased in pilot study. To collect data, respondents were asked to choose a brand which they were most familiar with, and to assess BI color, brand image, and brand equity including cognitive value, emotional value and purchase intention. A total of 228 usable questionnaires were obtained from consumers aged 19 to 46. BI colors were classified into four color groups: Achromatic (white, black, gray), Vivid (red, blue, yellow), Pink, and Beige. Additionally, underwear brand images consisted of four factors: Sophisticated, Classic, Casual, and Elegant images. Findings showed significant differences in the four factors of brand image and cognitive brand value between the BI color groups. Also, the factor of cognitive value was higher for achromatic or beige brand color groups, than for vivid or pink color groups. Also, brand image factors had positive effects on cognitive or emotional brand value. Especially, the factor of emotional value was more likely to increase purchase intentions than cognitive value in the BI color groups. The implications for managerial decision marking in fashion marketing strategy were also discussed.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2009.01a
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• pp.124-127
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• 2009

In this paper, we proposed automatically video colorization method with partial color sources in first frame. The input color sources are propagated to other gray pixels with the high correlation between two pixels. To robust again the errors in portion of the weak boundary, we calculate correlation between two pixels using dual-path comparison. Video colorization method should maintain the color connectivity between frames. Accordingly, we define reliability of primarily color by compare the color of neighborhood frames. We perform the color correction by blending neighboring color when the reliability of primarily color is low. We formalize this premise with energy function, and find the color to minimize the energy function. In this way, using property of video, we reduce the error caused by propagation and get result of natural changes between frames. Through simulation results, we show the proposed method derive a natural result more than previous method.

• Journal of the Korean Society of Costume
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• v.61 no.10
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• pp.16-31
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• 2011

This paper aims to identify the similarities and differences of color preference for mountain climbing wear according to gender, season and item. Total of 749 photos of mountain climbers were taken in 2009 during weekends in May and October at two mountains in Seoul. In order to analyze color by hue and tone, all the data were digitalized using Photoshop and converted to HV/C by using the Munsell Conversion software. For the purpose of data analysis, 13 colors of hue, including 10 base colors of the Munsel color system plus white, gray and black, and 12 tones of PCCS were grouped into 5 groups according to close distance. Jumper, t-shirts, vest and pants were selected as the 4 item categories. Results showed that there were clear differences in color preference based on gender. Women, with a preference for red, reddish purple, black, purple and blue, displayed wider range of choices in color as compared to men, who preferred black and blue color throughout all seasons. Yellow, green, and greenish blue were less preferred by both men and women. For pants, black represented over 90% as the main color for both genders. Overall, men preferred dark tones and women preferred vivid and bright tones. Moreover, there were less distinct differences in color preference according to season and item.