• 한국원자력학회:학술대회논문집
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• 한국원자력학회 1998년도 춘계학술발표회논문집(2)
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• pp.705-710
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• 1998

We describe a multigrid wavelet-based natural pixel (WNP) method for image reconstruction in emission computed tomography (ECT). The ECT is used to identify the tagged radioactive material's position in the body for detection of abnormal tissue such as tumor or cancer, as in SPECT and PET. With ECT methodology in parallel beam mode, we formulate a matrix-based reconstruction method for radionuclide sources in the human body. The resulting matrix for a practical problem is very large and nearly singular. To overcome this ill-conditioning, wavelet transform is considered in this study. Wavelets have inherent de-noising and multiscale resolution properties. Therefore, the multigrid wavelet-based natural pixel (WNP) method is very efficient to reconstruct image from projection data that is noisy and incomplete. We test this multigrid wavelet natural pixel (WNP) reconstruction method with the MCNP generated projection data for diagnosis of the simulated cancerous tumor.

• Bulletin of the Korean Chemical Society
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• 제35권7호
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• pp.1933-1938
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• 2014

Despite increasing importance of in vitro cell-based assays for the assessment of nanoparticles (NPs) cytotoxicity, their suitability for the assessment of NPs toxicity is still in doubt. Here, limitations of widely used cell viability assay protocol (i.e., MTT asssay) for the cytotoxicity assessment of P25 $TiO_2$ NPs were carefully examined and an alternative toxicity assessment method to overcome these limitations was proposed, where the artifacts caused by extracellularly formed formazan and light scattered by agglomerated NPs were minimized by measuring only the intracellular formazan via image cytometric methods.

• 방송공학회논문지
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• 제18권6호
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• pp.795-807
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• 2013

최근 2D 영상을 3D로 변환하는 2D-to-3D 변환기술에 대한 관심이 높아지고 있다. 지금까지는 영화나 애니메이션 등의 자연영상을 3D변환하는 것에 초점이 맞추어져 있었다. 그러나 텍스트, 이미지, 로고, 아이콘등이 혼재 되어 있는 윈도우영상의 경우, 이러한 3D변환기술을 적용하는데 어려움이 있다. 특히 텍스트는 동일한 깊이를 얻지 못하면 깨짐, 흔들림 등의 문제가 발생한다. 본 논문에서는 이러한 문제를 해결하기 위해 먼저 자연영상과 윈도우영상의 분류를 수행하고 윈도우영상일 경우에 텍스트나 배경을 제외하고 이미지 영역만을 검출하는 방법을 제안한다. 검출된 영역에 대해서 3D변환을 각자 수행하고 나머지 영역은 변환하지 않음으로써 상기 문제점을 해결할 수 있다. 실험에서는 10,000장 이상의 실험영상을 테스트하였다. 실험결과로는 윈도우영상의 검출률이 97%을 얻었고, 윈도우영상의 영상영역의 검출률은 87%이다.

• 한국의류학회지
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• 제21권1호
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• pp.194-205
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• 1997

The typical instrumental assessment of ununiform natural soils has been carried out by yellowing of the specimens instead of the surface reflectance or the calculated formula. However, the regular instrumental area of sample holder is necessary for the measure of yellowing. Therefore, this study attempted to apply image analysis which had full color image by scanning of one time without limitation of instrumental area. The test samples were analyzed pseudo and full color image. This paper evaluated soil with hue of yellowing and gradation of gray level with color image analysis. Then, it was studied propriety of image analysis with correlation of yellowing, hue and gray level. Ultimately, the proposed image analysis in this paper was advanced method against the typical instrumental assessment.

• 대한가정학회지
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• 제49권1호
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• pp.121-133
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• 2011

This research was designed to compare the subjective evaluation of texture image and preference between offline and online by structural characteristics of women' jacket fabrics for spring and summer. 78 participants evaluated the sensibility image and preference of various fabrics. The data were analysed by factor analysis, t-test, Pearson's productive correlation, regression, and multi dimensional scale. The results were as follows: Sensibility image factors of women' jacket fabrics were 'classic' 'sophisticated' 'natural' 'characteristic' and 'practical'. Between offline and online, sensibility images showed no differences. In sensibility images, 'classic'-'sophisticated', 'natural'-'practical', and 'practical'-'characteristic' images showed significant correlation. By analyzing the contribution of fabric structure on sensibility images, density affected on the 'classic' image offline and online. By the results of regression analysis, thickness, density and weave affected on the tactile preference. In sensibility images, 'classic', 'sophisticated' 'characteristic' images were the influencing factor. 'Sophisticated', 'natural', 'characteristic' and 'practical' images affected on the purchase preference.

• 복식문화연구
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• 제13권3호
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• pp.494-502
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• 2005

The purposes of this study were to investigate the images on the alpha numeric brand name of fashion products, to identify the influences of clothing pursuit benefit on the brand name image and to determine the significant images on the attitude and purchasing intention. The data were collected via a self-administered questionnaire from 270 male and female students of undergraduate school in Kyongnam province during the March, 2004. Using SPSS 12.0 package, Cronbach's a, frequency analysis, factor analysis, and multiple regression analysis were performed. The results could be summarized as follows: First, the image dimensions of alpha-numeric brand name were composed of natural, new, active, urban, impactive and interesting image. Clothing pursuit benefits were composed of the brand value, attractiveness, fashion, individuality and economic value pursuit, Second, Clothing pursuit benefits had an significant effect on the image preference of alpha-numeric brand name. Especially, individuality pursuit and attractiveness pursuit have influenced on the natural, new, active, urban images. Third, the new, active, impactive, natural images had significant effects on the attitude, purchasing intention and conformity of products.

• 디지털콘텐츠학회 논문지
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• 제19권9호
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• pp.1787-1793
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• 2018

그림자는 자연 경관에서 관찰되는 일반적인 현상이지만 물체 인식, 특징 검출 및 장면 분석등과 같은 영상 분석에 부정적인 영향을 미치는 요소이므로 디지털 영상에 포함된 그림자 처리는 디지털 영상 분석 과정에서 필수적으로 고려되어야 한다. 본 논문에서는 단일 자연 영상에 포함된 그림자를 검출하고 제거하기 위한 특징 요소 중의 하나인 1D 불변 영상의 획득을 위한 기존 방법들에 대해 기술하고, 선형 회귀 기반의 1D 불변 영상 획득 방법을 제안하였다. 제안하는 방법은 RGB 칼라 영상의 각 채널 간의 밴드 비의 로그를 계산한 후 선형 회귀를 통해 그레이스케일 영상 라인을 획득하고, 최종 1D 불변 영상은 밴드 비의 로그 영상들을 추정된 그레이스케일 영상 라인으로 투영시켜 획득하였다. 실험 결과, 제안하는 방법이 기존의 엔트로피 최소화 기반의 투영 각도를 계산하는 방법보다 계산 복잡도가 낮았으며, 1D 불변 영상을 이용한 그림자가 검출 및 제거가 효과적으로 수행됨을 보였다.

• 한국생활과학회지
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• 제12권4호
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• pp.539-552
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• 2003

The purpose of this study was to find out the proper evaluative words and colors according to various fashion images and to classify the fashion images according to certain criteria. 13 books which included the content of the fashion images were selected to draw evaluative words and colors. Evaluative words and colors were found out as follows: classic image-traditional, classical, conservative and brown, wine, dark yellow, modem image-intelligent, rational, westernized and achromatic color, cool colors, elegance image-dignified, graceful, chic and greyish tone, pale tone, romantic image-cute, lovely, girlish, natural image-natural, comfortable, gently and brown, ivory beige, khaki, casual image-energetic, comfortable, active and red, yellow, blue family. The classification of fashion images according to various criteria were as follows. According to sex: feminine-elegance, romantic, pretty and masculine-mannish, dandy, military. According to time: past-conservative, traditional, classical, and present-modern, contemporary, sophisticate. According to formality: formal-formal wear of classic, elegance, mannish, dandy style and informal-natural, casual. According to intelligence, the elite style-modern, elegance, classic, sophisticate and the public style-casual, natural.

• 한국의류산업학회지
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• 제7권6호
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• pp.657-664
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• 2005

Man's search for beauty has been going on from prehistoric time until today, and the pursuit of beauty has been progressing, regardless of the times, as a human psychological desire. In the search for beauty, hair and make-up have been subjects of interest for a long time, but the development of designs for these two aspects are still behind compared to other areas. Therefore, this study aims to propose various new and creative hair and make-up designs and to suggest their possible development. Using existing literature, this paper studied the skin color and hair color of Koreans that had been studied in earlier papers. It also aimed to understand the hair color and hair color images that are suitable for each skin color, classify the modern hair and make-up trends into different images - natural, surrealistic, minimalist, and cyber look, and also analyze them. Actual hair and make-up were also designed based on these images. To depict the natural image, the make-up was made intentionally dark as the skin color; natural materials were used for hair decoration; brown and yellow were used for the eye shadow to express the natural and romantic image of autumn, in general. Second, in the work expressing the surrealistic image, the hair was creatively decorated with a collage of various objects; yellow, green, and red eye shadows and lip expression were used to visually achieve the surrealistic fantasy look. Thirdly, in the work expressing the minimalist image, hair style with bangs without any hair decoration was used; make-up colors were minimized as well, creating a generally simple image. Finally, for the work expressing the cyber image, metallic material decoration was used on a puff-up hair style; the cyber image was emphasized through the use of graphical elements in the make-up.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권5호
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• pp.2287-2312
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• 2018

Extracting key visual information from images containing natural scene is a challenging task and an important step for the visually impaired to recognize information based on tactile graphics. In this study, a novel method is proposed for extracting salient regions based on global contrast enhancement and saliency cuts in order to improve the process of recognizing images for the visually impaired. To accomplish this, an image enhancement technique is applied to natural scene images, and a saliency map is acquired to measure the color contrast of homogeneous regions against other areas of the image. The saliency maps also help automatic salient region extraction, referred to as saliency cuts, and assist in obtaining a binary mask of high quality. Finally, outer boundaries and inner edges are detected in images with natural scene to identify edges that are visually significant. Experimental results indicate that the method we propose in this paper extracts salient objects effectively and achieves remarkable performance compared to conventional methods. Our method offers benefits in extracting salient objects and generating simple but important edges from images containing natural scene and for providing information to the visually impaired.