• The Bulletin of The Korean Astronomical Society
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• v.38 no.1
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• pp.58.2-58.2
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• 2013

We present a photometric study of the globular clusters (GCs) in the giant elliptical galaxy M86 in the Virgo Cluster, using the Washington $CT_1$ images taken at the KPNO 4 m telescope. The color distribution of the GCs in M86 is bimodal. The radial number density profile of the blue GCs decreases more slowly as the galactocentric distance increases than that of the red GCs. The density profile of the red GCs is similar to the surface brightness profile of M86 stellar halo. The blue GCs have a roughly circular spatial distribution, while the red GCs have a spatial distribution somewhat elongated, which is consistent with the distribution of the galaxy stellar light. M86 GCs have the negative radial color gradient because the number ratio of the blue GCs to the red GCs increases as galactocentric radius increases. The mean color of the red GCs is similar to that of the stellar halo. The bright blue GCs in the outer region of M86 reveal a blue tilt that the mean colors of the blue GCs get redder as they get brighter. We discuss these results in comparison with other giant elliptical galaxies in the Virgo Cluster.

• Journal of the Korean housing association
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• v.20 no.6
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• pp.67-76
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• 2009

As the needs of housing for the elderly has increased, many researches have been carried out and some housing projects for the elderly including nursing home began to be provided. Most researches have focused on the development of housing type or space layout and only several ones on interior design. The interior design in house influences physically or psychologically on the elderly who lives in. Also, the subject of them which examined the needs or preference for housing for the elderly were the middle-aged, not the aged. The purpose of the study was to examine the preferred characteristics of interior design in residential space by the elderly. The structured interview with 120 old persons who lived in Busan was carried out using by a questionnaire and 3D images. The elderly answered about the preferred interior style, color, lighting and interior finishes of each room in house, such as living room, master bedroom, kitchen, and bathroom. On the basis of the findings, the characteristics of interior design of each room in house which the elderly preferred were presented. In general, they preferred the mixed interior style with tradition and modem. Also, the reddish and purple interior color, flower or plant patterned wall finishes, and wood floor were preferred in living room and master bedroom by the elderly. The white interior color and one colored wall finishes without any pattern were preferred in kitchen and bathroom.

• Proceedings of the KIEE Conference
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• 2000.07d
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• pp.3037-3040
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• 2000

Real-Time object tracking has emerged as an important component in several application areas including machine vision. surveillance. Human-Computer Interaction. image-based control. and so on. And there has been developed various algorithms for a long time. But in many cases. they have showed limited results under uncontrolled situation such as illumination changes or cluttered background. In this paper. we present a novel. computationally efficient algorithm for tracking human face robustly under illumination changes and cluttered backgrounds. Previous algorithms usually defines color model as a 2D membership function in a color space without consideration for illumination changes. Our new algorithm developed here. however. constructs a 3D color model by analysing plenty of images acquired under various illumination conditions. The algorithm described is applied to a mobile head-eye robot and experimented under various uncontrolled environments. It can track an human face more than 100 frames per second excluding image acquisition time.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.25 no.4
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• pp.258-265
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• 2016

Digital printing has been used in various industrial areas, including semiconductor manufacturing and textile printing. However, implications on ceramic textile have not been well established so far. Printing high-viscosity materials requires an understanding of their behavior. An inorganic high viscous material with a viscosity range of 20-30 cps is analyzed using a viscometer and through X-ray diffraction. In this study, a digital printer is designed and assembled using a high-viscosity material with software for PC control, resulting in reduced processing at a fast area velocity of $20m^2/hr$. The present study demonstrated that the printer is capable of controlling the shape of the drop mass to smear ink smoothly onto the ceramic surface under an economic budget. In addition, to avoid any difficulty in color management, the ceramic printer is equipped with an independent color management system designed to cope with images on a highly viscous material.

• Food Science and Preservation
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• v.7 no.4
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• pp.357-361
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• 2000

Watercore influences storage and distribution industry of fruit. Therefore, the technique for nondestructive discrimination of watercore fruit is needed. This work reports about the possibility of watercore discrimination of ante using transmitted light, and the effects of various factors. CCD camera was used to capone images of each apple fruit. An excess watercore apples were higher light transmission score than little watercore apples. The accuracy fur discrimination of watercore apple was about 70% using transmitted light. Peel thickness, anthocyanin layer thickness and density of apple affected the light transmission. Apples having thin peel, thin pigment layer and low density tended to high transmitted light score. Apples of good color degree were more probability of existence watercore than ones of bad color degree. But color distribution of apple peel was not correlated with watercore.

• The Research Journal of the Costume Culture
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• v.10 no.2
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• pp.146-159
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• 2002

This study examines the textile pattern design of Italian fashion brands and their brand extensions by comparing their images. Five Italian fashion brands are chosen and the textile pattern design of their brand extensions, which were presented during the eight collection. Then their design style is compared with the design style of their main brands. The five main brands and their brand extensions are as fellows: Anna Molinari-Blumarine, Dolce & Gabbana-D&G, Girogio Armani-Emporio Armani, Gian Franco Ferre'-GFF, and Prada-MiuMiu. Their color, motive type, motive layout, motive expression, and pattern drawing technique are examined and compared. Results suggest that most brand extensions generally use color, motive type motive layout. and motive expression similar to their main brands. In particular, their pattern drawing technique is a painting style white their main brands use a graphic style. This result suggests that to create and develop new brand extensions, Italian fashion (main brand) firms in general employ color, motive type, motive layout, and motive expression technique similar to main brands, but different drawing technique to differentiate from their main brands. The results of this study suggest that textile pattern design plays an important role in developing new brand extensions and thus should be considered as a crucial part of the product.

• Journal of the Korea Society of Computer and Information
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• v.4 no.3
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• pp.8-12
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• 1999

Edge detection is a key component for many modern computer vision applications. While it is certainly not the only way to identify an object, or track a feature, it can be one of the most convenient if it is done quickly and consistently. Many algorithms proposed is applied to gray level images. But. there are limits in method using only intensity information, so, many researchers has try to done research about using color information. In this paper, we propose the new edge detection method usign color information, implement the widely used algorithms and compared with them in performance. In result of experiment, we show that the proposed algorithm have better result in fine detail and shaded region of image.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.9 no.6
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• pp.1889-1893
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• 2008

This paper explores the classification performance of applying to support vector machines (SVMs) for the image classification problems. In this study, we extract the color, texture and shape features of natural images and compare the performance of image classification using each individual feature and integrated features. The experiment results show that classification accuracy on the basis of color feature is better than that based on texture and shape features and the results of the integrating features also provides a better and more robust performance than individual feature. In additions, we show that the proposed classifier of SVM based approach outperforms BPNN to corporate the image classification problems.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.27 no.3A
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• pp.276-283
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• 2002

This paper proposes a new color constancy algorithm using the maximum luminance surface. This method uses a linear model which represents the characteristics of human visual system. The most important process of linear model is the estimation of the spectral distributions of illumination from an input image. To estimate of the spectral distributions of illumination from an input image, we first estimate spectral distribution functions of reflected light on the brightest surface. Then, we estimate surface reflectance functions corresponding to the maximum luminance surface using a principal component analysis of the given munsell chips. We finally estimate the spectral distributions of illumination in an image. Using an estimated illumination, we recover an image by scaling it regularly for the lightness calibration. From the experimental results, the proposed method was effective in recovering the color images compared with others.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.192-194
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• 2003

Since the details in quasi-homogeneous region will be destroyed from the conventional global image enhancement method such as histogram equalization. This defect is caused by the saturation of gray level in equalization process. So the local histogram equalization for each quasi-homogeneous region will be used in order to improve the details in the region itself. To obtain the quasi- homogeneous regions, the original image must be segmented. Here we applied the watershed transform to the interesting image. Since the watershed transform is based on mathematical morphology, therefore, the regions touch can be effectively separated. Hence two adjacent regions which have the similar gray pixels will be split off. The process will be independently applied to three different spectral images. Then three different colors are assigned to each processed image in order to produce a color composite image. By the proposed algorithm, the result image shows the better perception on image details. Therefore, the high efficiency of image classification can be obtained by using this color image.