• 한국컴퓨터정보학회지
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• 제14권1호
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• pp.231-239
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• 2006

지리정보시스템(Geographic Information System : GIS)은 지리적으로 참조 가능한 소프트웨어 시스템을 말한다. 이러한 지리정보시스템의 주요 특징 중 지리정보의 표현이라는 문제를 중심으로 살펴볼 때 기존의 2차원적인 표현에서 3차원적인 표현으로의 연구개발이 활발하게 진행되고 있으나, 방대한 양의 지리정보를 빠르고 효율적으로 처리하는데 많은 문제가 있어, 본 논문에서는 GIS의 효율적인 장면 렌더링을 위해서 영상기반 모델링과 렌더링을 위해 제안된 LDI(Layered Depth Images)를 이용하여 3차원의 GIS를 렌더링 하고자 한다. 실측기반 방식으로부터 3차원의 지형데이터를 획득하고, 이렇게 획득된 3차원의 지형 데이터는 깊이 정보를 가지고 있는데, 이러한 깊이 정보를 기반으로 하여 LDI를 생성하였다. 또한 전통적인 모델링 방식인 3DS-Max를 이용하여 LDI를 생성하였다. 이렇게 획득된 LDI 정보를 이용하여 보다 효율적인 3차원의 GIS 렌더링을 할 수 있었다.

• 대한전자공학회논문지SP
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• 제49권1호
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• pp.88-96
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• 2012

3차원 영상(3D image)이란 영상 매체를 통해서 현실세계와 동일하게 인식하는 방법으로 인간의 시각 특성을 이용하여 실제로 자연에서 보고 느끼는 현실감, 깊이감을 그대로 표현해 내는 기술을 이야기 한다. 이러한 3D 영상을 디스플레이와 프린트매체 모두에 사용되기 위해 적용되는 영상처리 기법이 anaglyph를 이용한 3D 영상 처리이다. Anaglyph는 주로 적-청 안경을 사용해서 한쪽에는 적색영상을 인지하고, 한쪽에는 청색영상을 인지하도록 하며, 이 때 적색과 청색 영상의 깊이감을 조절하여 영상이 3D로 인식 되도록 하는 기술이다. Anaglyph기법은 간단하게 영상을 생성할 수 있고, 또한 필터의 구현이 쉬운 반면, 좌 우 영상의 밝기차이로 발생하는 망막 경합 현상을 야기하여 사람이 3D를 인지하는 동안 눈에 피로감을 가중 시킨다. 따라서 본 연구에서는 두 영상의 밝기차이를 줄여 망막 경합을 최소화 하는 영상처리 방법을 제안한다. 또한 밝기 차를 줄이면서 나타나는 색 왜곡 현상과 채도 저하 현상을 보상하여 결과 영상의 화질을 향상시킨다. 밝기를 보상하는 방법은 원본 영상의 밝기와 좌 우 영상의 밝기의 평균을 취하여 밝기 비율을 유지하면서 두 영상의 밝기 차이가 줄여진다. 그 결과, 밝기 차에서 나타나는 망막경합을 최소화 하면서, 또한 필터의 사용으로 인해 나타나는 밝기 저하 현상을 보상한다. 밝기의 향상으로 인해나타나는 채도 저하 현상은 디스플레이의 색역의 가장자리(boundary)의 변화에 비례하여 채도를 향상시킴으로써 밝기에 비례한 채도 향상이 이루어져 보다 원본에 가까운 색을 관찰할 수 있다. 또한 밝기 보상과정에서 좌 우 영상의 색이 섞이는 현상에 대해 필요한 요소 외에는 절단(Clipping) 방법을 적용하여, 각 영상에 필요한 요소만을 취함으로써 더욱 원본에 가까운 영상을 재현한다.

• 한국의류학회지
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• 제33권3호
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• pp.433-443
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• 2009

The purposes of this study were to investigate the relationships among body image, social self concept, and clothing behaviors of adolescents, and to find out the differences of the relationships among these three variables by adolescents' sex and age variables. The research method was survey and the subjects were 656 male and female adolescents in Daejeon. The questionnaire consisted of 4 measuring instruments; body image, social self concept, clothing behaviors and demographic attribution. The data were analyzed by Cronbach's ${\alpha}$, factor analysis, t-test, and path analysis, using SPSS program. The results were as follows. First, adolescents generally evaluated their bodies as middle level on their physical attractiveness and had positive social self concept. And high school students had more positive body image and social self concept than middle school students. Second, on clothing behaviors, 5 dimensions were emerged: clothing interest, psychological dependency of clothing, clothing ostentation, clothing conformity, and clothing satisfaction. Third, there were close correlations among body image, social self concept, and clothing behaviors; body image and social self concept had close interrelationship each other. However, body image had close relationship with only clothing satisfaction dimension, whereas social self concept had close relationships with all clothing behavior dimensions except clothing conformity. In conclusion, this results showed that body image, social self concept and clothing behaviors have close interrelations, therefore, clothing play an important role to enhance adolescents' body image and social self concept.

• 한국의류학회지
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• 제28권9_10호
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• pp.1329-1340
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• 2004

The purpose of this study is to survey about the images of the sexy clothes that young women sympathize in modern society, that is, to make a research into the cognitive dimensions of 'Sexy image' and the constructive peculiarity of clothing. The researches into dimension of image by sexy clothing make that female mainly consist of in their twenties during May to October in 2003. The independent variables were: 1) The physical beauty dimension, 2) The negative estimate dimension, 3) The characteristic devaluation dimension,4) The elegance/ high grade dimension,5) The freshness/ beauty dimension,6) The sex appeal/ exposure dimension. Judging from each characteristic of costume in classified by articles, that is, colors, texture, shapes, details, and others-phenomenon of outerization of under clothing, print. We can know the clothes showing up our nice figures are the sleeveless design tied with strap, soft texture as silk chiffon and the colors that are not strong. And there were no embarrassed, ugly and pitiful clothing. Expressing sexy beauty by clothing is the result that the wearer produces intentionally by compounding design factors, it's the ideal when the observer's reaction and the wearer's intention correspond. Therefore, it will be helpful in expressing ideally if the subject, what kinds of sexy beauty the compounding design factors express, is studied carefully. Also it is expected to be used in grasping modem consumers' desires that want to look sexy, finding out how to express, dealing with the consumers' desires correctly, and the reference materials of the planning goods, sales promotion, and selecting of a medium of advertisement according to the consumers' desires.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 하계학술대회 논문집 D
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• pp.2580-2582
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• 2004

In this paper, a Neural Network(NN) based approach for classification of two dimensions images. The proposed algorithm is able to apply in the actual industry. The described diagnostic algorithm is presented to defect surface failures on tiles. A way to get data for a digital image process is several kinds of it. The tiles are scanned and the digital images are preprocessed and classified using neural networks. It is important to reduce the amount of input data with problem specific preprocessing. The auto-associative neural network is used for feature generation and selection while the probabilistic neural network is used for classification. The proposed algorithm is evaluated experimentally using one hundred of the real tile images. Sample image data to preprocess have histogram. The histogram is used as input value of probabilistic neural network. Auto-associative neural network compress input data and compressed data is classified using probabilistic neural network. Classified sample images are determined by human state. So it is intervened human subjectivity. But digital image processing and neural network are better than human classification ability. Therefore it is very useful of quality control improvement.

• 패션비즈니스
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• 제21권1호
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• pp.32-44
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• 2017

The purpose of this study is to investigate the effects of preferred images of school uniform and free clothing on preferred images of hair among high school girls. The data were collected between November and December 2014 from 300 high school girls in their's, living in Changwon province. The data have been analyzed by using SPSS program. The methods of factor analysis, reliability analysis, and multiple regression have been adopted for the data analysis. The results of this study are as followings: The factors of preferred images of school uniform consist of six dimensions of attention, neatness, vividness, visibility, practicality, and trend. The factors of preferred images of free clothing consist of six dimensions of neatness, practicality, attention, vividness, visibility, and trend. The factors of preferred images of hair consist of six dimensions of concentration of attention, convenience, elegance, attention, trend, and cuteness. Preferred images of school uniform and free clothing resulted in a correlation with preferred images of hair. Preferred images of school uniform and free clothing had an influence on preferred image of hair. It is highly expected that this study is used as the useful sources of marketing plans of fashion industries targeting high school girls.

• 유통과학연구
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• 제11권12호
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• pp.39-49
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• 2013

Purpose - This study attempts to examine the underlying dimensions of service quality (tangibility, reliability, responsiveness, assurance, and empathy) for low-cost carriers. It subsequently seeks to determine the effect of the relationships of the dimensions of service quality, airline image, and behavioral intentions on airline services to provide adequate basic information and attributes for developing differentiated and competitive service marketing strategies. Research design, data, and methodology - The survey for this study was conducted on patrons with low-cost carrier boarding experiences in districts near universities and central businesses of Seoul and Busan from 5/10/2012 to 16/10/2012. Out of 346 questionnaires, 20 questionnaires with missing data and insincere answers were excluded for this study. Collected data were processed using SPSS 18.0, and the hypothesis was verified by analyzing the structural equation model with Lisrel 8.54. First, the frequency analysis was conducted to identify universal characteristics. Second, the exploratory factor analysis and reliability analysis were conducted to identify the accuracy of the variable measurements of the construct. Third, to assess uni-dimensionality and reliability, confirmatory factor analysis was conducted. Finally, to verify the adequacy of the research model and research hypothesis, the structural model was employed. Results - The results revealed that the factors, "tangibility, reliability, responsiveness, assurance, and empathy" were shown to be the most important dimensions of service quality for the airline image of the low-cost carrier which was consistent with previous studies. Therefore, it is fair to suggest that these verified factors are crucial attributes for the brand image of low-cost carriers. Second, as reliability and responsiveness were shown to be the most important factors for behavioral intentions, it is viable to suggest that these two attributes are crucial for the sales value of low-cost carriers. Further, it was found that the brand image of low-cost carriers was closely related to behavioral intentions. Therefore, in order to ensure the competitiveness and loyalty of patrons, the airline image value is a crucial attribute. Conclusions - The result of this study established that service quality is the most important attribute for marketing to ensure competitiveness, and intensive and differentiated service marketing play a crucial role in creating profits for low-cost carrier companies. First, as tangibility is found to be the most crucial factor in ensuring service quality, quality control and maintenance of medium and small carriers must be provided to ensure reliability, as they are the main attributes of low-cost carriers. Second, in order to promote positive behavioral intentions, it is essential to enhance the value of airline image. Third, in order to ensure competitiveness, it is imperative to carry out intensive and differentiated service marketing. Therefore, to promote the image of low-cost carriers and enhance behavioral intentions, the level of service quality must be secured by developing appropriate service improvement programs.

• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• 제33권5호
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• pp.494-498
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• 2007

Purpose: This study was done to know the usefulness of fractal analysis when evaluating the radiologic changes after decompression on jaw bone cystic lesions using fractal analysis. Materials and methods: 30cases of cystic lesions were followed up after decompression. Panoramic image was used to observe radiologic changes around the cystic lesion. The part of the panoramic image which showed radiologic change was defined as region of interest(ROI); The fractal dimension of the ROI was calculated using box-counting method. Results: Using sign-rank test, there was a statistically significant difference in fractal dimensions after decompression therapy(P<0.0001). The fractal dimensions statistically increased after decompression(the median of D:0.12). Conclusions: The ROI after decompression showed higher fractal dimensions which offer the objective proof of the bone healing around cystic lesions after decompression treatment.

• 한국정밀공학회지
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• 제17권3호
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• pp.58-67
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• 2000

Electron gun heaters are used to heat a cathode in video(TV) monitors. Major defects of the electron gun heaters include dimensional inaccuracy and pollution with dirty materials. In this paper, to save the labor and time being taken to inspect the heaters, a machine vision system is considered. For the system, a new algorithm is developed to measure the 9 different dimensions of each heater and to detect polluted defects. The algorithm consists of three stages. In the first stage, the center of the heater image is obtained and then its boundary detection is performed. For the efficient boundary detection, a mask called the sum mask is used. In the second stage of the algorithm, a set of fiducial points are determined on the boundary image. Finally, using the fiducial points specified dimensions are measured and the amount of polluted area is computed in the third stage. The performance of the algorithm is evaluated for a set of real specimens. The results indicate that measurements obtained by the algorithm satisfy the tolerance limits fur most of the dimensions and the algorithm detects the polluted defects successfully.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권10호
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• pp.5197-5218
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• 2019

Large-scale retrieval algorithm is problem for visual analyses applications, along its research track. In this paper, we propose a high-efficiency region division-based image retrieve approaches, which fuse low-level local color histogram feature and texture feature. A novel image region division is proposed to roughly mimic the location distribution of image color and deal with the color histogram failing to describe spatial information. Furthermore, for optimizing our region division retrieval method, an image descriptor combining local color histogram and Gabor texture features with reduced feature dimensions are developed. Moreover, we propose an extended Canberra distance method for images similarity measure to increase the fault-tolerant ability of the whole large-scale image retrieval. Extensive experimental results on several benchmark image retrieval databases validate the superiority of the proposed approaches over many recently proposed color-histogram-based and texture-feature-based algorithms.