• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.43-53
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• 2016

In this study, under the assumption that there may be differences in colour attributes that can be perceived according to the brightness of the background and the size of the colour stimulus, a test was conducted where colour matching was done for stimulus sizes of $10^{\circ}$ and $20^{\circ}$ in terms of peripheral vision by varying the background brightness. The test results showed that depending on the background brightness and the specific combinations of the Munsell colour attributes used as the test stimulus, colours can be perceived differently even if they are the same colours. In addition, in contrast to findings from previous studies on colour perception according to the stimulus size, it was found that even if the size of the colour stimulus is relatively small, colours can be perceived more colourfully or more brightly with changes in the background brightness. Based on the findings of this study, degradation in image quality can be improved, which may occur when the size of the input image is changed at a later time, and also, contributions can be made when it comes to the reproduction of effective sold three-dimensional structures that reflect visual qualities when processing 3D holographic imagery, in addition to 2D imagery.

• Restorative Dentistry and Endodontics
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• v.31 no.4
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• pp.312-322
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• 2006

The objectives of this study were to evaluate the effect of surface roughness on the surface color and translucency of the composite resins. Two composite resins (Esthet-X, Dentsply, Milford, USA and Charisma, Kulzer, Domagen, Germany) were used to investigate the surface color. Charisma was used to investigate the translucency. 40 disc samples (diameter: 8 mm, thickness: 5 mm) were made by each product to measure the surface color. Polymerized each sample's one side was treated by Sof-Lex finishing and polishing system (Group C, M, F, SF). 40 disc samples (diameter: 6 mm, thickness: 1 mm) were prepared to measure the opacity. 1 mm samples were ground one side with #600, #1000, #1500 and #2000 sandpapers. CIE $L^{*}a^{*}b^{*}$ values of each 5 mm thickness samples, and XYZ values of 1 mm thickness samples on the white and black background were measured with spectrophotometer (Spectrolino, GretagMacbeth, Regensdorf, Switzerland). Mean surface roughness (Ra) of all samples before and after surface treatment was measured using the Surface Roughness Tester SJ-301 (Mytutoyo, Tokyo, Japan). Regardless of type and shade of the composite resin, $L^{*}$ values measured in group C were higher than others (p < 0.05), and $L^{*}$ value decreased as the Ra value decreased except B3 shade of Esthet-X. But there were no significant difference in $a^{*}$ values among groups. In control group and SF, highest $b^{*}$ values were measured (p < 0.05), except B1 shade of Esthet-X. Contrast ratio decreased as the Ra value decreased (p < 0.05). With the above results, difference of surface roughness has influence on surface color and translucency of dental composite resins.

• Restorative Dentistry and Endodontics
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• v.32 no.1
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• pp.19-27
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• 2007

The purpose of this study is to develope new dental color-space system. Twelve kinds of dental composites and one kind of dental porcelain were used in this study. Disk samples (15 mm in diameter, 4 mm in thickness) of used materials were made and sample's CIE $L^*a^*b^*$ value was measured by Spectrocolorimeter (MiniScan XE plus, Model 4000S, diffuse/$8^{\circ}$ viewing mode, 14.3 mm Port diameters, Hunter Lab USA) The range of measured color distribution was analyzed. All the data were applied in the form of T### which is expression unit in CNU Cons Dental Color Chart. The value of $L^*$ lies between 80.40 and 52.70. The value of $a^*$ are between 10.60 and 3.60 and $b^*$ are between 28.40 and 2.21. The average value of $L^*$ is 67.40, and median value is 67.30. The value of $a^*$ are 2.89 and 2.91 respectively. And for the $b^*$, 14.30 and 13.90 were obtained. The data were converted to T### that is the unit count system in CNU-Cons Dental Color Chart. The value of $L^*$ is converted in the first digit of the numbering system. Each unit is 2.0 measured values. The second digit is the value of $a^*$ and is converted new number by 1.0 measured value. For the third digit $b^*$ is replaced and it is 2.0 measured unit apart. T555 was set to the value of $L^*$ ranging from 66.0 to 68.0, value of $a^*$ ranging from 3 to 4 and $b^*$ value ranging from 14 to 16.

• Journal of Korea Society of Industrial Information Systems
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• v.19 no.4
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• pp.133-146
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• 2014

This paper mainly focuses on the design factors of a website targeted at shopping mall websites in China and Korea. We formulated 15 different hypotheses regarding how those design factors are different. The targeted websites are "Gmarket" in Korea and "Taobao" in China. The selected design factors of a shopping mall website are (1) color and design, (2) photo, graphic, and font size, (3) the clarity of information delivery, (4) website structure, (5) screen balance, (6) product display, (7) product harmony, (8) a form of font and icon, (9) visual atmosphere, (10) differentiated color, (11) interesting words, (12) technical skills, (13) entire visual design and atmosphere, (14) navigation, (15) search function for products or information. As a result of analyzing the result using the SAS 9.2 package tool, we figured out that there was a difference between design factors. Additionally, we analyzed this difference and suggested a strategy to design the effective shopping mall web sites.

• Journal of the Korea Computer Graphics Society
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• v.18 no.4
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• pp.9-15
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• 2012

Color harmony is affected by order of colors or orderly arrangement as well as harmonious colors themselves. In this paper, we show people perceive the degree of harmony differently according to the orderly arrangement of colors. Especially, we use the order of colors in color themes, or color schemes which have been largely used for color selection. We first present the method for harmony calculation of Ou's researches[1][2] and then suggest a method considering minimum color distance of component colors. For a design consisting of multiple colors, we show overall harmony of colors is more important than each harmony of adjacent component colors. By user study, we conclude that the suggested method can enhance the harmony of color theme.

• Proceedings of the Korean Society of Postharvest Science and Technology of Agricultural Products Conference
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• 2003.10a
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• pp.147-147
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• 2003

홍국 추출물로서 기능성을 조사하고 홍국 첨가한 국수를 제조하기 위하여 관능검사를 통하여 적정제조조건을 설정한 후 국수를 제조하여 품질특성을 조사하였다. 홍국을 물과 70%에탄올로 추출한 후 항산화작용과 아질산염소거능을 조사하였다. 홍국 추출물의 전자공여능은 물추출물 500ppm에서 46%, 1,000ppm에서 49%의 전자공여능을 나타내었으나 에탄올추출물은 500ppm에서 51%, 1,000ppm에서 56%로서 물추출물보다 높은 전자공여능을 나타내었다. 홍국 추출물의 아질산염소거능은 물추출 1,000ppm pH 1.2에서 32% 정도의 소거능을 나타내었으며 에탄올추출물 1,000ppm은 pH 1.2에서 37%의 아질산염소거능을 나타내었다. 홍국 추출물의 황산화능과 아질산염소거능 모두 에탄올추출물이 물추출물보다 우수하였다. 홍국을 0~4% 첨가한 홍국국수의 관능검사에서 건면에 대하여 색, 향, 맛, 뒷맛, 총괄평가 등을 7점법으로 관능검사를 실시한 결과, 색상은 홍국 4% 첨가한 것을 가장 선호하였으며(p＜0.05) 향, 맛, 뒷맛은 각 첨가군간에 유의적 차이가 없었다. 건면에 대한 총괄평가는 3%와 4% 첨가한 국수를 가장 선호하였다(p＜0.05). 한편 삶은 홍국국수에 대한 관능검사를 실시한 결과에서, 색상은 4% 첨가국수를 가장 선호하였으나(p<0.05) 향, 부드러움, 맛, 뒷맛은 홍국 첨가농도간에 유의적 차이를 나타내지 않았다. 촉촉한 정도는 4%에서 유의적으로 기호도가 높았으며(p<0.05) 총괄평가는 각 농도의 홍국 첨가군 간에 유의적 차이를 나타내지 않았다. 건면과 생면의 관능검사 결과를 종합해 볼 때, 홍국국수의 제조시에 홍국을 3~4% 첨가하는 것이 가장 바람직한 것으로 판단된다. 홍국국수(생면)를 5$^{\circ}C$에 4주간 저장했을 때의 균수는 저장 2주까지는 생균수가 증가하였으나 2주후부터 감소하는 경향을 나타내었다. 저장초기의 균수는 홍국을 첨가한 국수가 대조구에 비하여 총균수와 효모.곰팡이수가 많았으나 저장 1주일 후부터 3주까지 홍국 첨가구가 대조구에 비하여 균수가 적었으며 홍국 첨가농도에 비례하여 감소하였다.

• Journal of the East Asian Society of Dietary Life
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• v.9 no.3
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• pp.370-375
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• 1999

This study was attempted to examine the sensory quality, the degree of gelatinization, color, texture and moisture content of Paeksulgies made with black color rice. The results were as follows: The moisture contents was about 32-36%. L-value on the control group was high, 94.74 and $A_1$, $A_2$, and $C_1$ group were 78.72, 78.58, and 78.43 respectively. As the amount of color rice was increased, L-value on the Paeksulgis was decreased. The gelatinization of Paeksulgis added with color block rice was most increased at C group and D group. In sensory quality. Paeksulgis added with 4-10% block color rice showed the most favorable sensory evaluation.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.12
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• pp.2927-2936
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• 2013

In this paper, we propose a noise reduction and hole removal algorithm in order to improve the quality of depth images when they are used for creating 3D contents. In the proposed algorithm, the depth image and the corresponding color image are both used. First, an intensity image is generated by converting the RGB color space into the HSI color space. By estimating the difference of distance and depth between reference and neighbor pixels from the depth image and difference of intensity values from the color image, they are used to remove noise in the proposed algorithm. Then, the proposed hole filling method fills the detected holes with the difference of euclidean distance and intensity values between reference and neighbor pixels from the color image. Finally, we apply a parallel structure of GPGPU to the proposed algorithm to speed-up its processing time for real-time applications. The experimental results show that the proposed algorithm performs better than other conventional algorithms. Especially, the proposed algorithm is more effective in reducing edge blurring effect and removing noise and holes.

• Journal of Preventive Medicine and Public Health
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• v.29 no.3 s.54
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• pp.529-538
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• 1996

We investigated the occurrence of color vision loss in 70 organic solvent mixtures exposed workers and in 47 controls. Color Vision was assessed with a color arrangement test designed to identify the defective color sense, the Han Double 15-Hue Test. The results of the test were no significant difference between exposed workers and controls in the proportion of subjects who committed one or two errors. Quantitative analysis, using color confusion index(CCI), showed no signicant difference between exposed workers and controls. A significant linear correlation was present between age and CCI in both exposed workers (CCI=0.0056age + 0.94; r=0.23; p<0.05) and controls(CCI=0.0066age + 0.86; r=0.33; p<0.05). Qualitative analysis of the patterns on the hue circle showed that the prevalence of acquired dyschromatopsia was 21% in both and no significant difference. Multiple regression analyses showed that age was significantly related to color vision loss. These results did not provide evidence of a relationship between organic solvents exposure and incidence of color vision loss. In field studies for monitor the people at risk of the acquired color vision loss involving low-dose organic solvents exposed workers, both quantitative and qualitative information should be considered.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.43 no.5 s.311
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• pp.12-21
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• 2006

In this paper, we propose a technique for extracting attentive objects in images using feature maps, regardless of the complexity of images and the position of objects. The proposed method uses feature maps with edge and color information in order to extract attentive objects. We also propose a reference map which is created by integrating feature maps. In order to create a reference map, feature maps which represent visually attentive regions in images are constructed. Three feature maps including edge map, CbCr map and H map are utilized. These maps contain the information about boundary regions by the difference of intensity or colors. Then the combination map which represents the meaningful boundary is created by integrating the reference map and feature maps. Since the combination map simply represents the boundary of objects we extract the candidate object regions including meaningful boundaries from the combination map. In order to extract candidate object regions, we use the convex hull algorithm. By applying a segmentation algorithm to the area of candidate regions to separate object regions and background regions, real object regions are extracted from the candidate object regions. Experiment results show that the proposed method extracts the attentive regions and attentive objects efficiently, with 84.3% Precision rate and 81.3% recall rate.