• Title, Summary, Keyword: Image analysis

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Analysis of Image Quality Based on Perceptual Vision

  • Xue, Liqin;Hua, Yuning;Qi, Yaping
    • 한국정보디스플레이학회:학술대회논문집
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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.

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The Relationships between the Advertising of a College Image and the College Image, and the Behavior of Choosing a College and a Major - Focused on the Students of Fashion Related Majors - (대학이미지 광고, 대학이미지와 대학 및 전공 선택행동의 관계연구 - 패션관련 전공자를 중심으로 -)

  • Chang, Geung-Hae
    • Fashion & Textile Research Journal
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    • v.10 no.2
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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.

An Analysis of Previous Researches on Clothing Image and Make-up Image (의복이미지와 화장이미지에 관한 기존 연구 분석)

  • Lee Hyun-Jung;Kim Mi-Young
    • Journal of the Korean Society of Costume
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    • v.54 no.7
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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.

Effects of Brand-Self Image Congruence on Attitudes toward Children's Wear Brands -Focus on Children's Image, Actual Image and Ideal Image- (브랜드-자기 일치성이 아동복 브랜드 태도에 미치는 영향 -아동 이미지, 실제 이미지, 이상적 이미지를 중심으로-)

  • Kim, Ji-Yeon;Lee, Kyu-Hye
    • Journal of the Korean Society of Clothing and Textiles
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    • v.36 no.11
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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.

Effect of Image Preference and Types of Beauty Trainers on Their Satisfaction with a Major and Stress from a Major (미용분야 여성 교육자의 이미지 선호도 및 유형이 전공만족도와 스트레스에 미치는 영향)

  • Hong, Soo-Nam
    • Journal of the Korea Fashion and Costume Design Association
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    • v.16 no.3
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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.

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A Study on Clothing Image Evaluation and Preference According to Self-Image Classification of the Middle-Aged Women (중년 여성의 자기 이미지 유형화에 따른 의복 이미지 평가와 선호)

  • Shim, Jung-Hee
    • Journal of the Korean Society of Clothing and Textiles
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    • v.30 no.11
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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.

Development of SAR Image Quality Performance Analysis Tool for High Resolution Spaceborne Synthetic Aperture Radar (고해상도 위성 SAR 영상품질 성능 분석 툴 개발)

  • Oh, Tae-Bong;Jung, Chul-Ho;Song, Sun-Ho;Shin, Jae-Min;Kwag, Young-Kil
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.38 no.2
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    • pp.188-194
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    • 2010
  • In this paper, the typical Synthetic Aperture Radar (SAR) image quality parameters and analysis method are defined, and the SAR image analysis tool is presented for SAR image evaluation. The structure of the developed SAR image analysis tool consists of four key modules; point target analysis (PTA) module, distributed target analysis (DTA) module, ambiguity analysis (AMA) module, and NESZ analysis (NESZA) module. The developed tool is able to extract the various SAR system parameters from standard SAR product format files. Based on these extracted system parameters, typical SAR image quality parameters are derived from SAR image data.

The Characteristics of Avatar Users according to Avatar Image -Focus on utilization state, body-esteem and self-esteem- (아바타 이미지에 따른 아바타 이용자 특성에 관한 연구 -아바타 이용현황, 신체존중감, 그리고 자기존중감을 중심으로-)

  • 허태정;황선진
    • Journal of the Korean Society of Clothing and Textiles
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    • v.28 no.5
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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.

Review of the Application of Wavelet Theory to Image Processing

  • Vyas, Aparna;Paik, Joonki
    • IEIE Transactions on Smart Processing and Computing
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    • v.5 no.6
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    • pp.403-417
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    • 2016
  • This paper reviews recent published works dealing with the application of wavelets to image processing based on multiresolution analysis. After revisiting the basics of wavelet transform theory, various applications of wavelets and multiresolution analysis are reviewed, including image denoising, image enhancement, super-resolution, and image compression. In addition, we introduce the concept and theory of quaternion wavelets for the future advancement of wavelet transform and quaternion multiresolution applications.

SHADOW EXTRACTION FROM ASTER IMAGE USING MIXED PIXEL ANALYSIS

  • Kikuchi, Yuki;Takeshi, Miyata;Masataka, Takagi
    • Proceedings of the KSRS Conference
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    • pp.727-731
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    • 2003
  • ASTER image has some advantages for classification such as 15 spectral bands and 15m ${\sim}$ 90m spatial resolution. However, in the classification using general remote sensing image, shadow areas are often classified into water area. It is very difficult to divide shadow and water. Because reflectance characteristics of water is similar to characteristics of shadow. Many land cover items are consisted in one pixel which is 15m spatial resolution. Nowadays, very high resolution satellite image (IKONOS, Quick Bird) and Digital Surface Model (DSM) by air borne laser scanner can also be used. In this study, mixed pixel analysis of ASTER image has carried out using IKONOS image and DSM. For mixed pixel analysis, high accurated geometric correction was required. Image matching method was applied for generating GCP datasets. IKONOS image was rectified by affine transform. After that, one pixel in ASTER image should be compared with corresponded 15×15 pixel in IKONOS image. Then, training dataset were generated for mixed pixel analysis using visual interpretation of IKONOS image. Finally, classification will be carried out based on Linear Mixture Model. Shadow extraction might be succeeded by the classification. The extracted shadow area was validated using shadow image which generated from 1m${\sim}$2m spatial resolution DSM. The result showed 17.2% error was occurred in mixed pixel. It might be limitation of ASTER image for shadow extraction because of 8bit quantization data.

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