• 한국정보디스플레이학회:학술대회논문집
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• 한국정보디스플레이학회 2007년도 7th International Meeting on Information Display 제7권2호
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• pp.1494-1496
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• 2007

This paper deals with image quality analysis considering the impact of psychological factors involved in assessment. The attributes of image quality requirement were partitioned according to the visual perception characteristics and the preference of image quality were obtained by the factor analysis method. The features of image quality which support the subjective preference were identified, The adequacy of image is evidenced to be the top requirement issues to the display image quality improvement.

• 한국의류산업학회지
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• 제10권2호
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• pp.220-227
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• 2008

The purpose of this study was to investigate the relationship between the image advertising of a college and the college image, and the behavior of choosing a college and a major. Data were collected from students of 4 colleges in Daegu. Convenienced sampling was performed, and 259 responses were used for analysis. In the statistical analysis, factor analysis and regression analysis were used for verification. The results were as following; The image advertising concept of a college constituted one factor, and the college image consist of the college's internal image factor and the external image factor. It shows that the image advertising of a college/the college image has a direct influence on the behavior of choosing a college and a major. Furthermore, through interaction with the college image, the image advertising also has an indirect influence.

• 복식
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• 제54권7호
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• pp.91-106
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• 2004

The purpose of this study was to review the previous researches, analyze the clothing image, the make-up image and compare the analyses of clothing image and make-up image. The previous researches of clothing image and make-up image were reviewed in 6 kinds of Journal. The results of previous research review and analysis were followed as : Measuring mean of image are used to similarly that semantic differential technique and summated rating technique. Attention to proposed researcher abstraction image in make-up image, but there is problem that this hard to explain objectivity of image abstraction. There are a lot of occasions that 4 or 5 image factors were extracted by factor analysis. The make-up image researches that presented image stimulus were more than study that do not present. Image words were classified which were compiled words have similar sub image. Grace, activeness, lively. unique, modernity attractive, feminine. sexy and ripeness clothing images were classified factors. which were representative clothing image. Elegance, Sophisticate. romantic, natural, modern and youthfulness make-up image for factor were representative make-up image factors. However the problems were found that some representative image factor included the sub images which were different from some factor image. Compared with representation image words, same image words were used to not agree what clothing image and make-up image. Standardization of word should be made that show that clothing image and make-up image.

• 한국의류학회지
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• 제36권11호
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• pp.1137-1147
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• 2012

Self-congruency plays an important role in the context of mothers' shopping for children's clothing because purchasers are inconsistent with users. This study incorporates three dimensions of self-congruencies (congruency between children's image perceived by their mothers and brand image, congruency between mothers' actual self-image and brand image, and congruency between mothers' ideal self-image and brand image) due to purchaser-user inconsistency in children's clothing consumption. A total of 574 mothers with children aged 6 to 10 participated in a web-based survey. Descriptive statistical analysis, factor analysis, reliability analysis and multiple regression analysis were conducted. Self-brand image congruency variables have a different influence on brand attitudes when mothers purchase children's clothing. Brand attitude is influenced positively only when the perceived children's image coincides with brand image and when mothers' ideal self-image corresponds to brand image. In contrast, mothers' actual self-image and brand image congruence negatively influence brand attitude. Further investigation indicates that there are different effects of dimensions of self-congruency on brand attitude according to the characteristics of mothers and their children. This study suggests that when there is purchaser-user inconsistency, different types of image congruence has to be implemented to assess the impact on brand attitudes.

• 한국의상디자인학회지
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• 제16권3호
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• pp.101-115
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• 2014

This study evaluated the effect of image type of the beauty trainer on satisfaction and stress regarding the major. The data were analyzed by spss 18.0. Frequency analysis, causal analysis, reliability analysis, T-test, one-way variance analysis, and multiple regression analysis were carried out, and the result is as following. First, as the result of analysis the image of beauty trainer, we defined inner, outer, and social image. Second, the difference between images of beauty trainers revealed that people with high interest in the major ranked the inner image of beauty trainer the highest. Respondent with the lowest and the higher class satisfaction also deemed inner image important. The same was for respondents with beauty awareness. For outer image, people with the lowest class satisfaction ranked outer image the highest. And people with beauty awareness recognized beauty trainer's outer image more important. Respondents who said the major have bleak future deemed outer image even important. While the social image was recognized the highest by respondents with lowest class satisfaction. Third, as we analyzed the correlation between the image type of beauty trainer and major stress/satisfaction, the higher the satisfaction for the trainer's outer and social image gave higher class satisfaction. And less stress about the major resulted in higher major satisfaction. Fourth, we evaluated the effect of trainer's image on the class satisfaction and stress. Fifth, the lower the awareness of inner image and the higher awareness of social image resulted in higher major stress. Lower inner image gave high major satisfaction, while high social image resulted in high major stress.

• 한국의류학회지
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• 제30권11호
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• pp.1608-1617
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• 2006

Due to the popularization of fashion, it is important for consumers to find out under what kinds of reasons consumers choose and prefer the clothing products as consumers are interested in clothing and have variety of their styles to choose This study is to classify the self-image of the middle-aged women and examine the characteristics of each group and also to inquire into the evaluation of clothing by each group. Data are collected through a self-administered questionnaire survey from 4 to October 31, 2005 from 350 middle-aged women in Daegu; 275 are used for the data analysis. Data analysis is performed using SPSS Package, which included cluster analysis, factor analysis, ANOVA, Duncan's multiple range test, and chi-square test. The results are as follows: 1. As a result of factor analysis of self-image, the five factors which are intelligent image, social image, fashionable image, female image, bold image are extracted. Besides, as a result of cluster analysis, the three types which are female-type, neuter-type, male-type are classified. 2. The middle-aged women regard the classic style as their best style for outgoing and then they like the casual style, elegant style, dramatic style in order. 3. As a result of factor analysis for clothing image, the four factors which are dignity, attraction, simplicity activity are extracted. 4. According to self-image types, there are differences for clothing image and preferring clothing styles. While female-type groups choose the elegant style, neuter-type groups regard the classic style as their best style and male-type groups regard the casual style as their best style. In case of daring style, the preference shows the lowest among all the types unrelated to self-image types.

• 한국산업융합학회 논문집
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• 제27권3호
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• pp.563-572
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• 2024

Image processing and computer vision technologies are becoming increasingly important in a variety of application fields that require techniques and tools for sophisticated image analysis. In particular, image segmentation is a technology that plays an important role in image analysis. In this study, in order to identify recent research trends on image segmentation techniques, we used the Web of Science(WoS) database to analyze the R&D topography based on the network structure of the author's keyword co-occurrence matrix. As a result, from 2015 to 2023, as a result of the analysis of the R&D map of research articles on image segmentation, R&D in this field is largely focused on four areas of research and development: (1) researches on collecting and preprocessing image data to build higher-performance image segmentation models, (2) the researches on image segmentation using statistics-based models or machine learning algorithms, (3) the researches on image segmentation for medical image analysis, and (4) deep learning-based image segmentation-related R&D. The scientometrics-based analysis performed in this study can not only map the trajectory of R&D related to image segmentation, but can also serve as a marker for future exploration in this dynamic field.

• 한국항공우주학회지
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• 제38권2호
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• pp.188-194
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• 2010

본 연구에서는 영상레이다 (SAR)의 영상품질 분석 변수 및 확장 보간법, 배경레벨 제거 기법 등의 분석 기법을 정의하고 이를 바탕으로 SAR 영상품질 분석 툴을 개발하였다. 개발된 SAR 영상품질 분석 툴은 크게 점 표적 분석 (PTA) 모듈, 분산 표적 분석 (DTA) 모듈, 모호성 분석 (AMA) 모듈, NESZ 분석 (NESZA) 모듈, 총 4개의 주요 모듈로 구성된다. 개발 툴은 SAR 제품 파일 포맷에서 다양한 시스템 파라미터 추출하고, 이를 바탕으로 임펄스 응답 특성, 방사 성능, 모호성 등의 SAR 영상 품질 변수를 계산한다.

• 한국의류학회지
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• 제28권5호
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• pp.648-657
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• 2004

The purpose of this study was to identify the relationship between avatar image and self-concept of avatar users by utilizing focus group interviews and survey method. The subjects of the focus group interview were Freechal Avatar Club members, while those of the survey were 476 students, who attended middle schools, high schools and colleges at Seoul area. The data were analyzed by frequency, factor analysis, cluster analysis, chi-square test, one-way ANOVA and scheffe test. The main results were summarized as follows. First, the focus group interview revealed that avatar image types, which avatar users made use of, were ideal image, real image and fantastic image. Second, based on the avatar image types of focus group interviews, the researcher made out avatar image question items and conducted factor analysis of the question items: The avatar users pursued ideal image, real image and fantastic image. The avatar users groups were classified into ideal image group, real image group and fantastic image group by employing cluster analysis. Third, all of body-esteem and self-esteem were the highest at real image group, while all of that were the lowest at ideal image group.

• 한국컴퓨터정보학회논문지
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• 제9권2호
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• pp.19-26
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• 2004

본 논문에서는 내용 기반 영상 검색 시스템(Content Based Image Retrieval System)의 특징 추출(feature extraction)과 분석(analysis)을 위한 방법으로 적응적 컴포넌트 분석(ACA: Adaptive Component Analysis)을 제안하고 있다. 검색을 위해서 영상에서 추출된 특징들은 영상의 도메인(domain)에 따라 적절하게 적용해야만 좋은 검색 결과를 얻을 수 있다. 이러한 조건을 만족시키기 위한 방법으로 본 논문에서는 검색 측정도(retrieval measurement)를 제안하고 있다. ACA는 알고리즘과 시스템적인 관점에서 볼 때, 기존의 내용 기반 영상 검색을 위한 중간 단계라고 할 수 있으며, 검색 속도향상 및 성능 개선에 목표를 두고 있다