• Journal of Fashion Business
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• v.7 no.3
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• pp.14-23
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• 2003

The purpose of this study is to determine affects of hair colors on physical shapes and images through field survey and experimental research. For the purpose, this researcher surveyed 230 female college students residing in Busan about their dyed hair colors, and selected the subjects for the study. Then the researcher an experimental research on the subjects by suing test stimuli. Results of the study can be described as follows: Experiment of the Optical Illusion of Physical Shapes. For all items measured for the experiment, except four ones, if was found that hair colors provided significant efforts of optical illusion factor analysis, included horizontality, outlines of the body and face, a horizontal line of the shoulder, the length, verticality and a horizontal line of the face. According to hair colors, black made the body look slimmer and the face look apparent. White made the body height look low, the outline of the face look clear and the neck or shoulder look fleshed. Female college students whose hair color was orange looked unclear in the body silhouette, bright in the face and broad in the hip and shoulder. Other students whose hair color was red, attracting the line of vision upward most strongly, looked fleshed in the upper body and broad in the face. Finally, blue made the face look dark.

• Bulletin of the Korean Chemical Society
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• v.35 no.1
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• pp.189-196
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• 2014

Water dispersible ZnS based nanocrystals: ZnS (blue), ZnS:Cu (green) and ZnS:Mn (yellow-orange) were synthesized by capping the surface of the nanocrystals with a mercaptopropionic acid (MPA) molecule. The MPA capped ZnS based nanocrystal powders were characterized by using XRD, HR-TEM, EDXS, FT-IR, and FT-Raman spectroscopy. The optical properties of the colloidal nanocrystals were also measured by UV/Vis and photoluminescence (PL) spectroscopies in aqueous solvents. The PL spectra showed broad emission peaks at 440 nm (ZnS), 510 nm (ZnS:Cu) and 600 nm (ZnS:Mn), with relative PL efficiencies in the range of 4.38% to 7.20% compared to a reference organic dye. The measured average particle sizes from the HR-TEM images were in the range of 4.5 to 5.0 nm. White light emission was obtained by mixing these three nanocrystals at a molar ratio of 20 (ZnS):1 (ZnS:Cu):2 (ZnS:Mn) in water. The measured color coordinate of the white light was (0.31, 0.34) in the CIE chromaticity diagram, and the color temperature was 5527 K.

• IEMEK Journal of Embedded Systems and Applications
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• v.9 no.3
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• pp.145-150
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• 2014

This paper presents an effective vision based method for LED traffic light detection at the daytime. First, the proposed method calculates horizontal coordinates to set region of interest (ROI) on input sequence images. Second, the proposed uses color segmentation method to extract region of green and red traffic light. Next, to classify traffic light and another noise, shape filter and haar-like feature value are used. Finally, temporal delay filter with weight is applied to remove blinking effect of LED traffic light, and state and weight of traffic light detection are used to classify types of traffic light. For simulations, the proposed method is implemented through Intel Core CPU with 2.80 GHz and 4 GB RAM, and tested on the urban and rural road video. Average detection rate of traffic light is 94.50 % and average recognition rate of traffic type is 90.24 %. Average computing time of the proposed method is 11 ms.

• Journal of IKEEE
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• v.18 no.2
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• pp.291-297
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• 2014

Since hand gesture recognition was realized thanks to improved image processing algorithms, sign language translation has been a critical issue for the hearing-impaired. In this paper, we extract human hand figures from a real time image stream and detect gestures in order to figure out which kind of hand language it means. We used depth-color calibrated image from the Kinect to extract human hands and made a decision tree in order to recognize the hand gesture. The decision tree contains information such as number of fingers, contours, and the hand's position inside a uniform sized image. We succeeded in recognizing 'Hangul', the Korean alphabet, with a recognizing rate of 98.16%. The average execution time per letter of the system was about 76.5msec, a reasonable speed considering hand language translation is based on almost still images. We expect that this research will help communication between the hearing-impaired and other people who don't know hand language.

• Korean Institute of Interior Design Journal
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• v.14 no.3 s.50
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• pp.199-207
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• 2005

We recognize analysing and quantifying an effect of light and colors on people' psychological response changing according to environmental conditions as important. Therefore, this study intends to improve efficiency in realizing emotional design that contributes to creation of helpful and pleasant interior using architecture that is able to refresh human emotion or light and colors which are important factors in interior design. For the purpose, this study analyses an effect of colors in interior space and the effect of interaction between light and color through modeling to identify types of psychological response. And it is to present a generalized conclusion through an analysis of meaning of the two effects. The ultimate goal of this study is to identify the value and possibility of actual design. This study measures response on questionnaire through representative vocabulary by abstracting based on evaluation image selected through the 1st and 2nd preparatory research and grouping similar words. In next step, images represented both by light and colors are presented as virtual space and for data input and analysis based on psychological response corresponding to each image, this study uses SPSS 11.0 statistical package program to analyse data collected. The space to be experimented is a livingroom, a center of residential area.

• The KIPS Transactions:PartB
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• v.16B no.6
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• pp.443-450
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• 2009

This paper develops a novel technique of face detection using brightness distribution in the surrounding area of eye. The proposed face detection consists of facial component candidate extraction, facial component candidate filtering through eye-lip combination, left/right eye classification using brightness distribution, face verification confirming edges in nose region. Because the proposed technique don't use any skin color, it can detect multiple faces in color images with complicated backgrounds and different illumination levels. The experimental results reveal that the proposed technique is better than the traditional techniques in terms of detection ratio.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.2
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• pp.203-208
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• 2006

The management of image information settles as an important field with the advent of multimedia age and we are in need of the effective retrieval method to manage systematically image information. This paper has complemented the problem caused by the absence of space information that is a weak point of the existing color histogram method by assigning regions of features, and raised accuracy by adding texture and shape information. And existing methods using multiple features have problems that the retrieval process is embarrassed because each weight is set up manually. So we has solved these problems by assignment of weight applying fuzzy integral. As a result of experimenting with 1,000 color images, the proposed method showed better precision and recall than the existing method.

• The Bulletin of The Korean Astronomical Society
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• v.36 no.1
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• pp.60.2-60.2
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• 2011

Galactic bars are supposed to be a channel of gas inflow to the galactic center and thus possibly help nuclear star-formation and AGN activities. However, previous studies based on small local samples did not agree with this expectation. We find it necessary to examine the expectation using a large sample and so investigate the effects of bar structures on galactic nuclear activities, based on the Sloan Digital Sky Survey (SDSS) DR7. We used 6,348 late-type galaxies brighter than Mr = -19.0 in the redshift range $0.01{\leq}z{\leq}0.05$. Late-type galaxies are visually classified into barred or unbarred galaxies using SDSS color composite images. We compare the fractions of galaxies showing star-formation and AGN activities among barred and unbarred galaxies as a function of optical color, stellar mass, and black-hole mass. We have found that bar enhances nuclear star-formation activity on galaxies having low stellar mass, and low black-hole mass. This effect is stronger in redder galaxies. In the case of AGN, bar effects are higher in intermediate-mass galaxies. Bars also have an effect on the strength(!) of the star-formation and AGN activity in our sample as well. Thus, it seems that nuclear activities are powered by gas inflow from galactic bar structures perhaps not always but under certain conditions.

• Journal of the Korean Institute of Rural Architecture
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• v.12 no.1
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• pp.1-8
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• 2010

The purpose of this study was to explore the factors affecting satisfaction of street-scape. According to this purpose, in chapter 2, by inspecting conservation of street environment and streetscape, deduce the frame for analyzing streetscape in commercial district. In chapter 3, analyzing present condition and problems of selected streets in Pohang City, derive the primary factors to induce desirable streetscape through problems and their reason between the analyzed elements of building form. Analyzed elements are composed pavement of road, street furniture, height of buildings, color and material of building and outdoor advertisements, etc. In chapter 4, by conducting a questionnaire survey of pedestrians about street images and the preference, propose the direction of improvement about streetscape in commercial district. As the study method, level of satisfaction was analyzed using the components of street-scape. The collected data was analyzed through Reliability Analysis, ANOVA, Factor Analysis, Regression Analysis. A regression analysis for deriving main factors affecting the satisfaction level of street-scape showed that signboard, sign color, width of street, paving materials, street furniture, open space were found to be the most important.

• Journal of Korea Society of Industrial Information Systems
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• v.7 no.4
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• pp.9-16
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• 2002

Content based Image retrieval methods in the multimedia information retrievals use primary visual features such as color, texture and shape. Color and texture generally are used as features of the image retrieval systems. But these systems may produce errors in similar image retrieval because two images with different shapes can represent very different contents. Therefore, the use of shape describing features is essential in an efficient content based image retrieval system. In this paper, after the global features filtering process by the boundary of objects, we have created a better shape similarity image retrieval system by a histogram of shape information.