• Journal of Digital Contents Society
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• v.19 no.1
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• pp.165-171
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• 2018

Shadow is a physical phenomenon observed in natural scenes and has a negative effect on various image processing systems such as intelligent video surveillance, traffic surveillance and aerial imagery analysis. Therefore, shadow detection should be considered as a preprocessing process in all areas of computer vision. In this paper, we define and analyze various feature elements for shadow detection in a single natural image that does not require a reference image. The shadow elements describe the intensity, chromaticity, illuminant-invariant, color invariance, and entropy image, which indicate the uncertainty of the information. The results show that the chromaticity and illuminant-invariant images are effective for shadow detection. In the future, we will define a fusion map of various shadow feature elements, and continue to study shadow detection that can adapt to various lighting levels, and shadow removal using chromaticity and illuminance invariant images.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.38 no.3
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• pp.292-303
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• 2001

Object color can be determined by the characteristic of scene illuminant and surface. In this paper, perceived illumination effect is extended and with the highlight analysis, hybrid approach is proposed to estimate the illuminant chromaticity. The perceived illumination approach provides a stable candidate range for the estimation of illuminant chromaticity, however, the accuracy is slightly degraded depending on the image contents. The highlight approach does not depend on the image contents and provides an accurate solution of the scene illuminant chromaticity, however, it is difficult to determine the final solution among many cross-points. These two approaches are in effect mutually compensating. The solution from perceived illumination can be used as a starting point or as base information for the highlight approach to get the final solution.

• ETRI Journal
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• v.41 no.4
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• pp.506-514
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• 2019

Currently, studies on autonomous driving are being actively conducted. Vehicle positioning techniques are very important in the autonomous driving area. Currently, the global positioning system (GPS) is the most widely used technology for vehicle positioning. Although technologies such as the inertial navigation system and vision are used in combination with GPS to enhance precision, there is a limitation in measuring the lane and position in shaded areas of GPS, like tunnels. To solve such problems, this paper presents the use of LED lighting for position estimation in GPS shadow areas. This paper presents simulations in the environment of three-lane tunnels with LEDs of different color temperatures, and the results show that position estimation is possible by the analyzing chromaticity of LED lights. To improve the precision of positioning, a fuzzy logic system is added to the location function in the literature [1]. The experimental results showed that the average error was 0.0619 cm, and verify that the performance of developed position estimation system is viable compared with previous works.

• The Korean Journal of Food And Nutrition
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• v.32 no.5
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• pp.571-579
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• 2019

For the purpose of promoting the consumption of rice powder, 5 cultivars were applied differently to establish the optimal manufacturing conditions and measured Hunter color values, hardness and expansion rate of Yakgwa for the optimal conditions. Looking into the optimal manufacturing conditions of Yakgwa, the commercial flour-facilitating Yakgwa is shown to have a great shape when the mold is made with a thick paste for C-2 manufacturing method, Hangaru 100 mesh for H100-2 manufacturing method, Hangaru 200 mesh for H200-2 manufacturing method, Shingil 100 mesh for S100-2 manufacturing method, and Shingil 200 mesh for S200-1 manufacturing method. It also showed a trend of chewy taste after frying without cracks. Hunter color values (L) and red chromaticity and value b of yellow chromaticity indicated a lower value for the commercial flour and Hangaru 200 mesh in its entirety. The hardness of Yakgwa is within the range of 1,981.41~3,756.45 g and the degree of hardness is shown differently for each rice powder exclusive cultivars. Rice flour developed as rice powder 5 cultivars, and as a result of measuring chromaticity, hardness and expansion rate of Yakgwa for the quality characteristics, the item of hangaru 200 mesh had outstanding quality characteristics for Yakgwa.

• Transactions on Electrical and Electronic Materials
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• v.9 no.6
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• pp.251-254
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• 2008

Blue-white reflective cholesteric liquid crystal display was prepared by a unique method of single liquid crystal layer, the combination of yellow color liquid crystal and blue color backplane. The dopant and host combination of chlolesteric liquid crystal affects the color spectrum. The CIE chromaticity coordinates of blue and white are (0.10, 0.16) and (0.29, 0.30), respectively. The relatively low driving voltages of 32 V for blue-white display are obtained.

• The KIPS Transactions:PartB
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• v.18B no.2
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• pp.51-56
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• 2011

Algorithms for intrinsic images reduce color differences in RGB images caused by the temperature of black-body radiators. Based on the reference light and detecting single invariant direction, these algorithms are weak in real images which can have multiple invariant directions when the scene illuminant is a colored illuminant. To solve these problems, this paper proposes a method of acquiring an intrinsic image by omnidirectional projection of an ROI and a translation of white patch in the ${\chi}$-chromaticity space. Because it is not easy to analyze an image in the three-dimensional RGB space, the ${\chi}$-chromaticity is also employed without the brightness factor in this paper. After the effect of the colored illuminant is decreased by a translation of white patch, an invariant direction is detected by omnidirectional projection of an ROI in this chromaticity space. In case the RGB image has multiple invariant directions, only one ROI is selected with the bin, which has the highest frequency in 3D histogram. And then the two operations, projection and inverse transformation, make intrinsic image acquired. In the experiments, test images were four datasets presented by Ebner and evaluation methods was the follows: standard deviation of the invariant direction, the constancy measure, the color space measure and the color constancy measure. The experimental results showed that the proposed method had lower standard deviation than the entropy, that its performance was two times higher than the compared algorithm.

• Korean Journal of Optics and Photonics
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• v.20 no.2
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• pp.110-117
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• 2009

This work introduces the uncertainty evaluation formulation on color measurement of light sources and display devices, such as CIE 1931 (x, y) chromaticity, CIE 1960 (u, v) chromaticity, correlated color temperature, and distribution temperature. All the mentioned quantities are reduced from spectral data in the visible range, for which uncertainties are strongly correlated between different wavelengths. Using matrix algebra we have formulated the uncertainty propagation from the SI- traceable spectral irradiance standard to the individual color related measurement quantities taking the correlation between wavelengths into account. As a result, we have demonstrated uncertainty evaluation examples of 3 types of light sources: CIE illuminant A, LED white light, and LCD white light. This method can be applied to any other quantities based on spectral measurement such as solar irradiance, material color measurement, etc.

• Journal of the Korea Institute of Building Construction
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• v.15 no.6
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• pp.607-614
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• 2015

Generally surface finishing of building is done with water paint that performs basic water repellency and resisting. When painting the exterior of the building with water paint, application method is easy and inexpensive and it has the advantage of building maintenance. But surface finishing of water paint is easy to discolored or aging due to ultraviolet light so the effect is not satisfying than expected. Therefore this study is to analyze durability of water-repellent paints mixed with water-repellents as outer surface finishing materials, and evaluate its feasibility. Color change and color different due to the accelerated time were tested, and the feasibility was evaluated based on the test results. The experimental results of color different, brightness different and chromaticity suggested that water-repellent paints mixed with water-repellents were suitable for finishing materials. Considering overall general durability performances, stable mixing ratios were 2, 5, and 8%.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.25 no.1
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• pp.18-29
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• 2011

Light emitting diode(LED) technology has been increasingly developed and larger color gamut by LED illuminations can be reproduced; therefore more efficient LED lighting design can be accomplished under a consideration of color emotion. Fifty-two LED colors which are uniformly distributed on the uniform chromaticity space are evaluated in terms of fatigueness and preference and their relation to three color-appearance attributes(lightness, chroma and hue) are investigated. As a result, 23 human observers likely to prefer and feel comfortable, when lightness of a given LED color stimulus increases as well as its chroma decreases. The highest fatigueness score is observed in red color series and the most preferred LED color is found in green color series. In addition, fatigueness and preference show a strong negative linear relation and their Pearson correlation is higher than -0.8.

• Journal of the Korean Home Economics Association
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• v.44 no.10
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• pp.47-55
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• 2006

The purpose of this study was to analyze and compare the color characteristics of preferred clothing textiles of college students. One hundred nine male and female college students were evaluated for their preference to clothing textiles in previous research. To analyze the color characteristics, spectral data were measured. Color, color tone, and values of $L^*,\;a^*,\;b^*$ according to clothing item were compared. In addition, chromaticity diagram was drawn. The results of this study were as following. 1. The color of the shirts textile that college student preferred most in spring/fall was PB(purple blue) color, lt(light) tone. In general, the preferred textiles for shirts represented a simple color that is close to achromatic color with light and soft shade. The color of the blouse textiles that college student preferred most was PB color, d(dull), g(grayish) and W(white) tone. 2. The most frequently shown color of upper garment was PB, followed by Y(yellow) for shirt and R(red) for blouses. College students prefer a simple color which is close to achromatic color, and a light and soft color was preferred for shirts fabric and they preferred various, medium shades, but closer to pure colors for blouses because college students tend to consider that the aesthetic side is important and usually wear blouses less often than shirts. 3. For slacks, the colors of the preferred textiles were B(blue), PB color and lt.g.(light grayish), g, d and bk(black) tone. Therefore, the preferred textiles for slacks represented simple colors such as bluish or close to achromatic color with light or dark shade. For skirt, YR(yellow red), PB color and lt.g, lt, d. tone were preferred. Therefore, soft light or moderately toned various colors that are close to pure color were especially preferred for skirts. 4. The colors of preferred fabrics for slacks and skirts differed. The colors of the preferred fabrics for slacks were mostly cold color, whereas those of skirts were mostly warm color. And college students preferred various, medium shaded and closer to pure colors for skirts because they tend to consider the aesthetic side as being important. 5. The pattern of preferred fabrics was mostly solid, regardless of clothing item, and melange was the second most preferred pattern. 6. Through the analysis of $L^*,\;a^*,\;b^*$ values, shirt and blouse textiles showed higher $L^*$ value than that of slacks and skirt. The preferred textiles of college students were generally close to achromatic color because the values of $a^*$, and $b^*$ were very low, as confirmed by the result of the chromaticity diagram.