• 복식문화연구
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• 제13권3호
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• pp.481-493
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• 2005

The purpose of this study is to analyze the image evaluation of tailored jacket according to the body type and the degree of satisfaction with the body of middle-aged women. The subjects used for this study were three hundred and twenty three middle-aged women ranging from 35 to 50 years old. We measured their bodies and asked them report to the questionnaire. The results are as follows. There was a significant difference in the image evaluation of tailored jacket according to the body type of middle-aged women. The women of the type I evaluated that X silhouette was the most fascinating, elegant, active, and tender, and the women of the type II, A silhouette. The women of the type III evaluated that H silhouette was the most fascinating, elegant, active, and tender, and the women of the type IV, H silhouette. There was a meaningful difference in the image evaluation of tailored jacket according to the degree of satisfaction with their bodies. As satisfied with the girth of the body, weight, and figure they evaluated X silhouette was more attractive, graceful, active, and soft.

• 경영과학
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• 제29권1호
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• pp.15-32
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• 2012

Previous studies have examined the relationship between corporate social responsibility and corporate's business performance (especially, consumers' corporate evaluation). According to them, the corporate social responsibility influences the consumers' corporate evaluation. A small and medium sized company as well as a large company is asked to conduct socially responsible actions, however, it is not easy to find a study that focuses on whether the effect of the corporate social responsibility on the consumers' corporate evaluation is different by the size of company. In this paper, we classified the corporate social responsibility into the four dimensions (economic responsibility, legal responsibility, ethical responsibility, philanthropic responsibility), and investigate the differences between a small and medium sized company and a large company in the effects of the four dimensions on the consumers' corporate evaluation. We showed that the each dimension of the corporate social responsibility had an positive effect on the corporate image regardless of the size of company. In addition, we demonstrated that the effects of the four dimensions on the company image were different by the size of company; The legal responsibility and ethical responsibility are more influential to the corporate image of a large company than to that of a small and medium sized company, however, the effects of economic responsibility and philanthropic responsibility are not different by the size of company.

• 한국생활과학회지
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• 제16권5호
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• pp.1021-1029
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• 2007

The purpose of this study was to study visual evaluation by the variation in the location of the belt of skirt and slacks. The results were as follows: 1. The visual evaluation by variation in location of the belt of skirt and slacks were classified by 4 factor: attractive image, horizontal effect, ordinary image, vertical effect. 2. As the study investigated differences by each factor according to a belt location of a skirt and slacks, the attractive image factor showed a bigger difference than any other factors. Especially, the study evaluated that a low location of the belt exhibited a attractive image for a skirt than slacks. 3. 9cm and -3cm or -5cm displayed the slenderest and smallest look respectively for a skirt and slacks in a horizontal visual effect. -1cm, -5cm and -1cm were revealed tallest and longest look respectively for a skirt and slacks in a vertical visual effect. 4. The variation in location of the belt had more effects on a visual image than a visual effect.

• Journal of the Optical Society of Korea
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• 제10권3호
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• pp.105-111
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• 2006

A novel image quality evaluation method, which is based on combination of the rigorous grating diffraction theory and the ray-optic method, is proposed. It is applied for design optimization and, tolerance analysis of optical imaging systems implementing diffractive optical elements (DOE). The evaluation method can predict the quality and resolution of the image on the image sensor plane through the optical imaging system. Especially, we can simulate the effect of diffraction efficiencies of DOE in the camera lenses module, which is very effective for predicting different color sense and MTF performance. Using this method, we can effectively determine the fabrication tolerances of diffractive and refractive optical elements such as the variations' in profile thickness, and the shoulder of the DOE, as well as conventional parameters such as decenter and tilt in optical-surface alignments. A DOE-based 2M-resolution camera lens module designed by the optimization process based on the proposed image quality evaluation method shows ${\sim}15%$ MTF improvement compared with a design without such an optimization.

• 디자인학연구
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• 제14권1호
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• pp.27-34
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• 2001

인상이나 감성적 기호가 구매에 영향을 주는 제품군의 디과인에 있어서는 사용자 시점으로부터의 감성적 평가를 디자인 프로세스의 보다 상류단계에서부터 실시하여 그 결과를 아이디어 스케치 개량을 위한 유효한 정보로서 피드백시킬 필요가 있다. 한편 감성적 평가에 있어서, SD법(의미미분척도법)으로 대표되는 종래의 이미지 평가에서는 계측대상을 [집단적인]경향으로 취급하여 독립적으로 판단을 하도록 요구되어져 왔다. 그러나 이러한 SD법적 평가만으로는 사물인지과정에 있어서 인간의 유연한 유사성 판단능력을 평가에 반영시키기에는 불충분하다. 따라서 본 연구에서는, 직감적 판단에 의한 자극의 분류와, 계층분석법 및 퍼지적분법에 기초를 둔 계층적 이미지 평가 방법을 제안하였다. 평가 프로세스는 평가 자극 및 평가 항목의 직감적 분류, 동일 카테고리 내에서의 대표예의 선정, 각 자극의 이미지평정, 피지적분법에 의한 우선도의 산출 등의 순서에 따라 진행되며, 이러한 평가 프로세스를 상호대화적인 환경하에서 수행하기 위한 평가지원용 소프트웨어를 개발하였다.

• 한국산학기술학회논문지
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• 제10권8호
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• pp.1869-1876
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• 2009

기존 종이 문서를 영상 파일로 변환하기 위해서 스캐너와 같은 광학기를 사용하게 된다. 스캐닝 과정에서 문서가 제대로 문서 영상으로 생성되었는지를 판단하기 위해서 이미지 품질 검사 과정을 거치게 된다. 이미지 품질검사 과정에서는 스캐너 기기의 특성상 스캐닝 과정에서 발생할 수 있는 문서 영상의 기울기, 노이즈 여부, 문서가 접힌 상태로 스캔되었는지의 여부 등을 체크하게 된다. 이에 본 논문에서는 스캐너를 이용하여 문서 영상을 생성 과정에서 발생하는 기하학적 변형을 평가하기 위한 방법론을 제시한다. 본 연구에서는 품질 검사의 검사 항목에 대해서 영상 처리를 이용하여 각각의 변형 정도를 측정하고 각각의 변형 정도가 실제 문서의 가독성에 얼마나 영향을 미치는지를 OCR 결과 값과 비교한다. OCR 인식 성공 비율과 각 항목별 변형 정도를 나타내는 측정 값 간에 상관관계를 분석하기 위해서 피어슨 상관 계수(Pearson Correlation Coefficient)를 이용하고 이를 기반으로 실제 문서 영상의 변형정도를 평가하기 위한 가중치 값을 산정한다. 제시한 방법으로 평가에서 높은 평가 값으로 계산된 영상 문서는 OCR 인식률에서도 높은 인식 결과를 나타내고 있다.

• Journal of Biosystems Engineering
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• 제25권5호
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• pp.409-414
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• 2000

A machine vision system was built to obtain single stationary image from an egg. This system includes a CCD camera, an image processing board and a lighting system. A computer program was written to acquire, enhance and get histogram from an image. To minimize the evaluation time, the artificial neural network with the histogram of the image was used for eggshell evaluation. Various artificial neural networks with different parameters were trained and tested. The best network(64-50-1 and 128-10-1) showed an accuracy of 87.5% in evaluating eggshell. The comparison test for the elapsed processing time per an egg spent by this method(image processing and artificial neural network) and by the processing time per an egg spent by this method(image processing and artificial neural network) and by the previous method(image processing only) revealed that it was reduced to about a half(5.5s from 10.6s) in case of cracked eggs and was reduced to about one-fifth(5.5s from 21.1s) in case of normal eggs. This indicates that a fast eggshell evaluation system can be developed by using machine vision and artificial neural network.

• International Journal of Contents
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• 제11권2호
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• pp.20-30
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• 2015

We propose a new method that specifies objective image quality factors by evaluating an image quality measurement model using random images. In other words, No-Reference variables are used to evaluate the quality of an original image without using any reference for comparison. 1000 portrait images were collected from a web gallery with votes constituting over 30 recommendation values. The bottom-up data collecting process was used to calculate the following image quality factors: total range, average, standard deviation, normalized distribution, z-score, preference percentage. A final grade is awarded out of 100 points, and this method ranks and grades the final estimated image quality preference in terms of total image quality factors. The results of the proposed image quality evaluation model consist of the specific dynamic range, skin tone R, G, B, L, A, B, and RSC contrast. We can present the total for the expected preference points as the average of the objective image qualities. Our proposed image quality evaluation model can measure the preferences for an actual image using a statistical analysis. The results indicate that this is a practical image quality measurement model that can extract a subject's preferred image quality.

• 복식문화연구
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• 제14권2호
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• pp.320-333
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• 2006

The purpose of this study was to find out differences of visual evaluation according to perceiver's gender, clothing silhouette, and body exposure of the lingerie look. Subjects were 246 college males and females in Seoul. The visual evaluation of the lingerie look was divided into four image dimensions: elegance, individuality, fascination, and activity. Silhouette had significant influences on the perception of elegance and activity. The hourglass silhouettes were evaluated more elegant and active than the tubular silhouettes. The body exposure had significant influences on the evaluation of elegance, individuality, fascination, and activity. The shoulder and the back exposure were estimated high in fascination, the breast exposure low in elegance, and the waist exposure high in individuality and activity. Individuality, fascination, and activity had interaction effects by perceiver's gender and body exposure. Males estimated the waist exposure to be more fascinating than females, and females estimated the breast exposure to be less active than males. There were significant interaction effects in evaluating the 4 image dimensions according to the silhouette and body exposure. The shoulder and the leg exposure of the hourglass silhouettes were estimated more elegant than those of the tubular silhouettes. Dimensions of clothing image which influenced on preference of lingerie look were different between males and females.

• 분석과학
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• 제34권2호
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• pp.56-67
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• 2021

Due to the difficulty of grading visualized fingerprints with previously known evaluation methods for the comparison of split fingerprints, a preliminary study was performed with the densitometric image analysis (DIA) method as a potential quantitative and supplementary evaluation method. Each image of inked split fingerprints was divided into 4 zones for analysis. Weekly intra- and inter- analysis by two analysts with three whole fingerprints that were constructed by combining inked split fingerprints showed that the average area values and the ranges of difference fluctuation were not significantly different between strong fingerprints and strong-weak pairs, while they were different in weak fingerprints and weak-weak pairs. In the case of weak fingerprints, the exact acquisition of ridges was difficult and this seemed to influence the results. An additional study is needed for the improved reliability using DIA method with weak fingerprints such as 8 zones division rather than 4 zones. In addition, the analysis results performed by several analysts at different times should be used to improve the reliability of the analysis method further. Based on the above result, it can be judged that utilizing the DIA method as a secondary evaluation method of the existing scoring system would be effective with the additional studies especially on weak fingerprints.