• Journal of the Korean Society of Radiology
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• v.10 no.1
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• pp.45-51
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• 2016

The purpose of this study was tried to remove the noise and improve the spatial resolution in the computed tomography (CT) by using anisotropic 2-dimensional (2D) diffusion based filter. We used 4-channel multi-detector CT and american association of physicists in medicine (AAPM) phantom was used for CT performance evaluation to evaluate the image quality. X-ray irradiation conditions for image acquisition was fixed at 120 kVp, 100 mAs and scanned 10 mm axis with ultra-high resolution. The improvement of anisotropic 2D diffusion filtering that we suggested firstly, increase the contrast of the image by using histogram stretching to the original image for 0.4%, and multiplying the individual pixels by 1.2 weight value, and applying the anisotropic diffusion filtering. As a result, we could distinguished five holes until 0.75 mm in the original image but, five holes until 0.40 mm in the image with improved anisotropic diffusion filter. The noise of the original image was 46.0, the noise of the image with improved anisotropic 2D diffusion filter was decreased to 33.5(27.2%). In conclusion improved anisotropic 2D diffusion filter that we proposed could remove the noise of the CT image and improve the spatial resolution.

• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.5
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• pp.748-759
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• 2000

The purposes of this study were 1) to classify wearing situation of male adolescents and 2) to classify self-image and CPI(Clothing Preference Image) of male adolescents and 3) to segment consumer group by self-image and to find the differences in self-image and CPI by situation among groups. For the data collection a questionnaire was distributed to male adolescents who were residents in Seoul and Taejeon. The statistics used for the data analysis were factor analysis, multiple dimensional scale, mean, percentage, peason-correlation, cluster analysis, one-way ANOVA, Duncan-test by the SPSSWIN program. The results of this study are as follows: 1) The self-image of male adolecents is categorized by seven factors; sophisticate and fashion conscious, active, practical and realistic, flank and pure, young-looking, feminine, and slender. Based on seven factors, the consumer group is categorized to five groups; practical and realistic Group1, young-looking and feminine Group2, characterless Group3, active Group4, sophisticate and flank Group5. 2) Wearing situations are divided into three categories; in downtown, in urban, at festival. In downtown, CPI are divided into six elements; ornamental, simplex, sexy, feminine, neat, young, and sophisticate. In urban, CPI are divided into five elements; ornamental, simple, sexy, feminine, young-looking, and sophisticate. At festival, CPI are divided into four elements; unique, simple, feminine, and formal. To conclude, the male adolescent consumers are categorized by self-image, and the different CPIs are sought by different wearing situations.

• Journal of Korean Academy of Nursing
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• v.33 no.6
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• pp.792-801
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• 2003

Purpose: The purpose of this study was to identify nurses' image and its related factors to make nurses' image among academic and vocational high school teachers in Korea. Method: Study samples were composed of 470 teachers who were from 12 high schools in G and J city located in southwestern part of Korea. Data were collected from August 26 to October 4, 2002. The internal consistency of the total scale was Cronbach's $\alpha$=.940. Result: In order to make nurses' image, 76.4% of respondents were influenced by the experience of their hospitalization in visiting hospitals. The mean score of nurses' image in general was 3.19$\pm$0.55; in four subcategories, 3.46$\pm$0.60 for professional image, 3.28$\pm$0.69 for traditional image, 2.93$\pm$0.70 for social image, and 2.91$\pm$0.64 for vision of nursing career. The mean score of nurses' image in general was more positive significantly in the 50's age group (F=6.43, p=.002) and in male groups (t=2.92, p=.002). Conclusion: On the basis of these findings, nursing professionals need to improve their working conditions, aspiration in job, and autonomy of nurses in their practice fields, monitor the mass media and other publishing materials continuously, and share the appropriate information on nursing profession to the school teachers and the public.

• Journal of the Korea society of information convergence
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• v.1 no.1
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• pp.17-24
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• 2008

Video camera play very important roles for preventing many kinds of crimes and resolving those crime affairs. But in the case of recording image of a specific person far from the CCTV, the original image needs to be enlarged and recovered in order to identify the person more obviously. Interpolation is usually used for the enlargement and recovery of the image in this case. However, it has a certain limitation. As the magnification of enlargement is getting bigger, the quality of the original image can be worse. This paper uses FOP(Facial Definition Parameter) proposed by the MPEG-4 SNHC FBA group and introduces a new algorithm that uses face outline information of the original image based on the FOP, which makes it possible to recover better than the known methods until now.

• The Mathematical Education
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• v.53 no.4
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• pp.493-507
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• 2014

The purpose of this study is to analyze how high school students form and interpret the mental image in the process of solving regular polyhedron problems. For this purpose, a set of problems about the regular polyhedron's vertex is developed on the base of the regular polyhedron's duality and circulation. and applied to 2 students of the 12th graders in D high school. After 2 hours of teaching and learning and another 2 hours of mental image-analysis process, the following research findings are obtained. Fisrt, a student who recorded medium high-level grade in the national scholastic test can build the dynamic image or the patten image in the process of solving regular polyhedron's vertex problems by utilizing the 3D geometry program. However, the other student who recorded low-level grade can build the concrete-pictorial image. Second, pattern image or dynamic image can help students solve the regular polyhedron's vertex problems by proper transformation of informations and the mental images while the concrete-pictorial image does not help. Hence, it is recommended that the mathematics teachers should develop teaching and learning materials about the regular polyhedron's duality and circulation and also give students suitable questions to build the various mental images.

• Journal of Korea Society of Digital Industry and Information Management
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• v.14 no.2
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• pp.35-47
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• 2018

The 4th industrial revolution, digital image technology has developed beyond the limit of multimedia industry to advanced IT fusion and composite industry. Particularly, application technology related to HCI element algorithm in 3D image object recognition field is actively developed. 3D image object recognition technology evolved into intelligent image sensing and recognition technology through 3D modeling. In particular, image recognition technology has been actively studied in image processing using object recognition recognition processing, face recognition, object recognition, and 3D object recognition. In this paper, we propose a research method of human factor 3D image recognition technology applying human factor algorithm for 3D object recognition. 1. Methods of 3D object recognition using 3D modeling, image system analysis, design and human cognitive technology analysis 2. We propose a 3D object recognition parameter estimation method using FACS algorithm and optimal object recognition measurement method. In this paper, we propose a method to effectively evaluate psychological research techniques using 3D image objects. We studied the 3D 3D recognition and applied the result to the object recognition element to extract and study the characteristic points of the recognition technology.

• Fashion & Textile Research Journal
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• v.12 no.5
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• pp.626-632
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• 2010

The results of the image evaluations by various shapes of skirts which are typical female's lower garment were as follows; 1. The composition factors of images by the shapes of skirts were classified into five factors. The 1st factor is lovely image factor, the 2nd is attractive image factor, the 3rd is practical image factor, the 4th is slim-looking image factor and the 5th is long-looking image factor. 2. In the 1st factor- lovely image factor, tiered skirt, $360^{\circ}$ flared skirt and $180^{\circ}$ flared skirt were evaluated to express lovely images. In the 2nd factor- attractive image factor, $180^{\circ}$ flared skirt was evaluated to express refine and attractive images. In the 3rd factor- practical image factor, $360^{\circ}$ flared skirt and gathered skirt were evaluated to express easy and practical images. In the 4th factor- slim looking image factor, males evaluated 8gored skirt and females evaluated gathered skirt to express fat images. In the 5th factor- long looking image, $180^{\circ}$ flared skirt was evaluated to express long looking images by both sexes. 3. In the lovely image factor, gathered skirt was evaluated most differently between the sexes. Both in the attractive and practical image factor, tiered skirt was evaluated most differently between the sexes. 4. In the preference of male and female university students according to the shapes of skirts, both the sexes prefered flared skirt. But the low prefered shapes of skirts were differently evaluated between the sexes; the male students' was A-lined skirt and the female's was pleated skirt and wrap skirt.

• 한국정보디스플레이학회:학술대회논문집
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• 2007.08b
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• pp.1559-1560
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• 2007

BGR mixture phosphor pumped by 400 nm is developed for white-light-emitting diode of liquid crystal display backlight. White-emitting phosphor is prepared by mixing $Ba_2SiO_4:Eu^{2+}$ and $(Ba,Sr)_3MgSi_2O_8:Eu^{2+},Mn^{2+}$ phosphors.

• International Journal of Costume and Fashion
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• v.5 no.2
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• pp.1-10
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• 2005

In the 21th century, the age of image, people express and are evaluated with their images. Image making, as behavior of creating image, is rapidly spreading in the society. Thus, the purpose of this study is to investigate the precise concepts of image making, and the meaning of personal image and fashion styling in image making. Based on previous studies in clothing for a theoretical examination of the concepts of image making, and the meaning of personal image and fashion styling in image making, we have analyzed and studied the concepts of image making generally accepted in the society. The results of this study are as follows. First, personal image making aims at the establishment of one's own identity through the ideal image construction. Second, the establishment of one's own identity through building up his ideal image is completed through fashion styling. Third. image making increases one's personal values and competitive power to implement its ultimate goals. In this study, we have proved that image making makes people establish their own identity by building up their ideal images through fashion styling.

• Proceedings of the KSRS Conference
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• 2004.10a
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• pp.216-219
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• 2004

In this study, the concept and techniques to generate the level lA, lB and 2A image products have been reviewed. In particular, radiometric and geometric corrections and bands registration used to generate level lA, lB and 2A products have been focused in this study. Radiometric correction is performed to take into account radiometric gain and offset calculated by compensating the detector response non-uniformity. And, in order to compensate satellite altitude, attitude, skew effects, earth rotation and earth curvature, some geometric parameters for geometric corrections are computed and applied. Bands registration process using the matching function between a geometry, which is called 'reference geometry', and another one which is corresponds to the image to be registered is applied to images in case of multi-spectral imaging mode. In order to generate level-lA image products, a simple radiometric processing is applied to a level-0 image. Level-lB image has the same radiometry correction as a level-lA image, but is also issued from some geometric corrections in order to compensate skew effects, Earth rotation effects and spectral misregistration. Level-2A image is generated using some geo-referencing parameters computed by ephemeris data, orbit attitudes and sensor angles. Level lA image is tested by visual analysis. The difference between distances calculated level 1 B image and distances of real coordinate is tested. Level 2A image is tested Using checking points.