• Journal of the Korea Furniture Society
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• v.22 no.4
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• pp.252-264
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• 2011

This research is regarding color-analyzing Italian children's furniture and display space, in which application method of furniture display is looked at by understanding relations of furniture and display space through theoretical consideration and by understanding each factor of composition. Moreover, it establishes a formality of scientific and systematic standard in the color scheme of furniture and display space through using NCS Color System and the related Color Harmony Theory of Ostwald and Faber Birren as analysis tools. In the process of analyzing the colors of furniture and display space, I aimed to comprehend color trend of Italian children's furniture display space by comparing and analyzing Italian children's furniture dealers. I was able to comprehend the color relationship between furniture and display space from the results of analysis of examples of children's furniture display space and analysis of color deviation. Therefore, with this research I suggest the primary data and application strategy from a systematic point of view through Color Harmony Theory in color scheme of children's furniture display space in contemporary Italy.

• The KIPS Transactions:PartB
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• v.15B no.3
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• pp.229-236
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• 2008

This paper examines effectiveness of using color images instead of grayscale ones for automatic lipreading. First, we show the effect of color information for performance of humans' lipreading. Then, we compare the performance of automatic lipreading using features obtained by applying principal component analysis to grayscale and color images. From the experiments for various color representations, it is shown that color information is useful for improving performance of automatic lipreading; the best performance is obtained by using the RGB color components, where the average relative error reductions for clean and noisy conditions are 4.7% and 13.0%, respectively.

• Journal of Satellite, Information and Communications
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• v.6 no.2
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• pp.41-45
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• 2011

This paper presents a fire detection criterion based on flame color, spatial and temporal characteristic analysis of color fire images. To propose the criterion, Firstly the fire candidate regions were selected by using analyzed Cr and Y threshold value, and then texture analysis of candidate regions was performed by using DCT. Finally variation of Y values of these regions was calculated for temporal analysis. The proposed fire detection criterion was simulated by using fifteen test images and practicality was verified.

• Journal of the HCI Society of Korea
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• v.5 no.1
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• pp.19-24
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• 2010

The emotions evoked by single color or two-color combinations are investigated using bipolar affect adjectives. The color emotions using 10 bipolar affect adjectives are estimated for 5 single color patches and 10 two-color patch combinations. Twenty observers participated in the experiment and the same experiments are repeated using English and Korean words. The data analysis shows that there is little difference between English and Korean experiment. In many cases, color emotion for two.color combination can be predicted by averaging the color emotions of each patch. However, there are other cases that the emotion by one color dominates the emotion for the color pair.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2008.10a
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• pp.143-146
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• 2008

The objectives of this study were to evaluate color sensation for yellowish natural dye fabrics using magnitude estimation to determine physical colorimetric factors significantly related to human sensibility by establishing power function in psychophysical analysis. Fourteen different yellowish fabrics dyed with natural colorants were selected as stimuli and subjective color sensations including brightness, heaviness, softness, strength, warmth, activeness, classicalness, femininity, and pleasantness for each stimulus were evaluated. As results, yellowish natural dye fabrics in general seemed to evoke feeling of brightness, femininity, and pleasantness more strongly than that of heaviness and classicalness. Most of color sensation were significantly related with more than one of physical color properties, which leads to establishing reliable power functions between them. In the power functions, these relationships could be utilized to design color-sensible natural dye textiles.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.22 no.5
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• pp.889-898
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• 1997

Most general content-based image retrieval techniques use color and texture as retrieval indices. Spatial information is not used to color histogram and color pair based on color retrieval techniques. This paper proposes the selection of a set of representative in the duplicated color histogram, the analysis of spatial information of the selected colors and the image retrieval process based on the duplicated color histogram and spatial information. Two color historgrams for background and object are used in order to decide on color selection in the duplicated color histogram. Spatial information is obtained using a maximum entropy discretization. A retrieval process applies to duplicated color histogram and spatial to retrieve input images and relevant images. As the result of experiment of the image retrieval, improved color his togram and spatial information method hs increased the retrieval effectiveness more the color histogram method and color pair method.

• Proceedings of the Korea Society of Costume Conference
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• 2003.10a
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• pp.32-32
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• 2003

This research has for its object to look carefully into the peculiarity of the color of the costume in the Korean culture by revealing the characteristic and the idea of the color being discovered in the Korean basic culture, which has the majority of the Korean people. The scope of the basic culture was divided into folk belief, folk game and folk play. Within these limits, the colors of the dress, accessories, instruments were extracted by comparing with the naked eye in NCS Color System. For the analysis of hue and tone the secondary dimensional analysis using NCS color system and the three-dimensional analysis using the software, COLOR 3D Version 2.0, were done.

• Journal of the Korean Society of Tobacco Science
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• v.17 no.2
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• pp.177-183
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• 1995

This study was conducted to develop the most precise NIR(near infrared spectrometric) calibration for rapid determination of chemical composition in ground samples of toasted burley tobacco using stepwise, stepup, principal component regression(PCR), partial least square(PLS) and modified partial least square(MPLS) calibration method. The number of wavelength(W) selected by stepup multiple linear regression using: second derivative spectra was as follows: total sugar(TS)-4 W, nicotine-9 W, total nitrogen(TN)-2 W, ash-8 W, total volatile base(TVB)-5 W, chlorine4 W, L of color-6 W, a of color-6 W and b of color-7 W. Comparing the calibration equations followed by each chemical components, the most precise calibration equation was MPLS for 75, a and b of color, PLS for nicotine, ash, TVB, chlorine and L of color and stepup for TN. The standard error of calibration(SEC) and standard error of performance(SEP) between result of near infrared analysis and standard laboratory analysis were 0.18, 0.40% for 75, 0.06, 0.08% for nicotine, 0.18, 0.16% for TN, 0.33, 0.46% for ash, 0.04, 0.03% for TVB, 0.08, 0.06% for chlorine, 0.54, 0.58 for L of color, 0.22, 0.22 for a of color and 0.27, 0.27 for b of color, respectively. The SEC and SEP of ash and TVB were within allowable error of standard laboratory analysis, nicotine, TN and chlorine were 1.2-2.0 times and 75 were 2.1-4.0 times larger than allowable error of standard laboratory analysis. The ratio of SEC and SEP to mean were 1.5, 1.6% for L of color, 3.7, 3.8% for a of color and 1.8, 1.8% for b of color, respectively. Key words : burley tobacco chemistry, near infrared spectroscopy.

• The Research Journal of the Costume Culture
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• v.25 no.4
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• pp.519-528
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• 2017

Mobile shoppers have encountered frequent color mismatch in the products that they have purchased, as they can only rely on their sense of sight. Therefore, fabric color and color difference recognized by smartphone display during mobile shopping were studied using instrument analysis method. It aimed to gather precise information on actual fabric color understanding of the mobile shoppers purchasing textile products. Three smartphones were selected from LG, Samsung, and Apple companies, and four colors were researched (red, yellow, green and blue) to both polyester and wool test fabrics for color analysis though color measuring instruments. The results from the spectrophotometer indicated that the color coordinate location of smartphone fabric color is similarly distributed regardless of the type of fabric. The Samsung smartphone displays a relatively high color chroma (especially on red-colored fabric) regardless of the type of fabric due to a high color reproduction range. In contrast, the LG smartphone, which has high color temperature, displays high color chroma on the blue colored fabric with a significant color mismatch between the actual fabric color and smartphone fabric color. From the results of this study, issues related to mobile shopping can be addressed through an analysis of the products sold, the smartphone's color representation, and user understanding.

• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.1
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• pp.3-14
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• 2000

The purpose of this study were 1) to segment 20's female apparel market using consumer's fashion image preference in formal wear, and 2) to identify the group differences in seasonal color (hue and tone) and color image (image associate with lightness and chroma) preference as well as in demographic variables. The subjects were 253 females in their late twenties living in Seoul, Korea. The data were collected using self-administred questionnaires and analyzed by factor analysis. Cluster analysis, $\chi$2 -test, one-way ANOVA, and Duncan test. The results of this study were as follows: 1) Four fashion image groups were identified through cluster analysis using consumer's fashion image preference: Elegant image group, Sexy image group, Lively image group, and Romantic image group. 2) There were significant differences among fashion image groups in hue preference for spring clothes, tone preferences for spring and fall clothes. Color images are associated with lightness for spring and summer, and are associated with chroma for spring, summer, and fall. Group differences in demographic variables were found in socio-economic status and average expenditure for formal jacket.