• Title/Summary/Keyword: Analysis of Difference Image

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Trends and Design Characteristics of Eco Fashion Design (에코패션디자인의 변화추이와 디자인 특성)

  • Kim, Sae-Bom;Lee, Kyoung-Hee
    • Fashion & Textile Research Journal
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    • v.14 no.5
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    • pp.720-729
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    • 2012
  • This study investigates trends and design characteristics of recent eco fashion designs on websites. For such purposes, 1185 pictures were collected from the websites of 12 eco fashion brands from 2006 to 2010 to analyze current status and design characteristics. Content analysis and statistical analysis using SPSS will be conducted for data analysis. The results of the research are as follows. First, the change difference according to the year of the eco fashion design. The focus was on, the natural image (from 2006 to 2008), the romantic image (from 2008 to 2009), and vintage, multi, and modern (from 2010). It was noticeable that the forms, colors, and materials changed simultaneously with the various images. The changing progress of eco fashion design was on the design changes according to fashion image changes. Second, after an examination of the characteristic difference of eco fashion designs according to seasons, the difference was shown as a natural and romantic image in the S/S season as well the vintage and classical image focused on the F/W season. It is figurative that S/S season shows a romantic image as well as magnifies a sportive image that is natural and active. Multi, natural and vintage images mostly appeared for the F/W season. In conclusion, eco fashion design is influenced by fashion trends, yearly changes, and seasons.

Analysis of the Image Sought by Consumers for Living Atmosphere and Clothing and Home Fashion Preference (수도권 여성의 거주환경 및 의복 추구이미지와 홈패션 디자인 선호도 분석)

  • Kim Chil Soon;Park Su Youn
    • Journal of the Korean Home Economics Association
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    • v.42 no.12 s.202
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    • pp.253-264
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    • 2004
  • The purpose of this study was to conduct research on consumers who seek to portray an image through their living atmosphere and clothing, and to survey the home fashion design preference of Korean women, aged in their 20s to 40s. We distributed questionnaires to 600 women. The reliable questionnaires were used for a statistical analysis. Data analyses were conducted with SPSS program on ANOVA and Pearson correlations. We obtained the following results: 1. Women who are living in larger housing sought 'elegant', 'sophisticated', and 'gorgeous' images. There was a high correlation between the image sought through the surrounding environment and the image sought with clothing. Those who wanted an image of Korean traditional and classic living environment, also sought the same image in their clothing. 2. There was a significant difference in the preference of home fashion products among women seeking specific images in their living environment. In the preference of children's bed sheets and comforters, there was a significant difference in Korean traditional image. In addition, there was a significant difference in the preferred types of curtains in elegant, sophisticated, gorgeous and classic seeking images of environment. These results may be useful for the home fashion stylist or home fashion marketer.

Intermediate Image Generation of Stereo Image Using Depth Information and Block-based Matching Method (깊이정보와 블록기반매칭을 이용한 스테레오 영상의 중간영상 생성)

  • 양광원;허경무;김장기
    • Journal of Institute of Control, Robotics and Systems
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    • v.8 no.10
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    • pp.874-880
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    • 2002
  • A number of techniques have been proposed for 3D display using view-difference of two eyes. These methods do not express enough reality like real world. The display images have to change according to the position of a viewer to improve reality. In this paper, we present an approach for generating intermediate image between two different view images by applying new image interpolation algorithm The interpolation algorithm is designed to cope with complex shapes. The proposed image interpolation algorithm generates rotated image about vertical axes by any angle from base images. Each base image that was obtained from CCD camera has an view-angle difference of $3^{\circ}C$, $5.5^{\circ}C$, $^{\circ}C$, $22^{\circ}C$, and $45^{\circ}C$. The proposed into mediate image generation method uses the geometric analysis of image and depth information through the block-based matching method.

An Empirical Study of Two-Way Effects on Country Image of KOREA and Corporate Image - A Focus on Chinese Consumer of SAMSUNG Electronics - (한국 국가이미지와 기업이미지간의 상호효과에 대한 실증연구 -삼성전자의 중국소비자를 중심으로-)

  • Lee, Chun-Su;Lee, Jang-Rho;Seo, Min-Kyo
    • International Commerce and Information Review
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    • v.8 no.4
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    • pp.323-341
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    • 2006
  • IThis research meets with empirical results in pursuit of aim as below mentioned. Firstly, it gets a line on two-way effects which have an effect on both (the country image and corporate image) by using the corporate image for the study of the country image. After making an analysis of the empirical test, found out that the corporate image has influence upon the country image significantly. Also found out that the country image has an effect on the corporate image powerfully. Therefore, it effects an inspection of evidence that the country image and corporate image have significantly positive concern, each other. Secondly, it is offering the way to use the culture marketing as grasping the mediating effects, which culture difference has influence upon the country image and the corporate image. The mediating effects show that the country image has influence on the corporate image more as culture difference is bigger.

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Change Detection in Bitemporal Remote Sensing Images by using Feature Fusion and Fuzzy C-Means

  • Wang, Xin;Huang, Jing;Chu, Yanli;Shi, Aiye;Xu, Lizhong
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.4
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    • pp.1714-1729
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    • 2018
  • Change detection of remote sensing images is a profound challenge in the field of remote sensing image analysis. This paper proposes a novel change detection method for bitemporal remote sensing images based on feature fusion and fuzzy c-means (FCM). Different from the state-of-the-art methods that mainly utilize a single image feature for difference image construction, the proposed method investigates the fusion of multiple image features for the task. The subsequent problem is regarded as the difference image classification problem, where a modified fuzzy c-means approach is proposed to analyze the difference image. The proposed method has been validated on real bitemporal remote sensing data sets. Experimental results confirmed the effectiveness of the proposed method.

The Moving Object Segmentation By Using Multistage Merging (다단계 결합을 이용한 이동 물체 분리 알고리즘에 관한 연구)

  • 안용학;이정헌;채옥삼
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.21 no.10
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    • pp.2552-2562
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    • 1996
  • In this paper, we propose a segmentation algorithm that can reliably separate moving objects from noisy background in the image sequance received from a camera at the fixed position. The proposed algorithm consists of three processes:generation of the difference image between the input image and the reference image, multilevel quantization of the difference image, and multistagemerging in the quantized image. The quantization process requantizes the difference image based on the multiple threshold values determined bythe histogram analysis. The merging starts from the seed region which created by using the highest threshold value and ends when termination conditions are met. the proposed method has been tested with various real imge sequances containing intruders. The test results show that the proposed algorithm can detect moving objects like intruders very effectively in the noisy environment.

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The Different Analysis of the Preference and Benefits Sought of Smart Clothing based on Demographic Characteristics (인구통계학적 특성에 따른 스마트 의류에 대한 선호도 및 추구혜택 차이 분석)

  • Park, Younghee
    • Journal of Fashion Business
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    • v.23 no.1
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    • pp.1-13
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    • 2019
  • This study aimed to analyze the preference, the factors of benefits sought, and the difference of benefits sought for smart clothing based on demographic characteristics. This survey study used questionnaire. The subjects of the survey consisted of men and women with ages ranging from twenty to fifty years old, who were living in Gyeongnam region. For the collected data analysis, Factor analysis, t-test, ANOVA, and Duncan multiple range tests were used by SPSS 23. The results obtained were as follows. The different analysis results for smart clothing based on demographic characteristics showed a significant difference with respect to marital status, age, monthly income, and occupation, but showed an insignificant difference with respect to gender. The factors of benefits sought for smart clothing were extracted from five factors-pursuit; image innovation and improvement, pursuit of healthcare, pursuit of body protection, pursuit of amusement and pleasure, and pursuit of hi-tech function. The different analysis results of smart clothing according to demographic characteristics showed a significant difference for pursuit of healthcare only with respect to gender, for pursuit of image innovation and improvement, healthcare, amusement and pleasure, and hi-tech function with respect to marital status, for pursuit of image innovation and improvement, healthcare, amusement and pleasure, and hi-tech function with respect to age, for pursuit of healthcare and body protection with respect to monthly income, and for all five factors with respect to occupation.

Difference in the Visual Preference of the Bridges - The Case of the Han River - (교량의 시각적 선호도의 차이 - 한강의 교량을 대상으로 -)

  • Huh, Joon
    • Journal of the Korean Institute of Landscape Architecture
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    • v.30 no.2
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    • pp.1-11
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    • 2002
  • The purpose of this study is to investigate landscape image and define elements of difference in visual preference of bridges on the Han River. To do this end, video was used as a media for the evaluation of the landscape image of 16 bridges on the Han River using a Semantic Differential scale. Data is collected by 50 students from Woosuk University, majoring landscape architecture. Final analysis utilized a total of 704 samples of data. Data is analyzed through descriptive statistics, and spatial image is analyzed by factor analysis algorithm Principle component analysis using Varimax method is applied far extraction and factor rotation. T-test is used to find the difference between the bridge type of preference with the data of factor score. Logistic regression is used to select the factors that influences the visual preference among the image factors. The results of this study can be summarized as follows; The image of whole bridges on the Han River is somewhat orderly, sequential and open. The degree of visual preference of unique bridge type is higher than normal but there are some differences in visual preference within the same type of structure. This suggests that the surrounding landscape is one of the important factor for visual preference. Factors covering the image of bridge are found to be 'aesthetic', 'structure','spatial factor', and 'shape'. Total variance is obtained as 60.4%. The aesthetic variables are the most important factor for visual preference and the structural factor presents no significant difference in visual preference between more preferred and less preferred bridges. Since the collapse of Songsu Bridge, we thought the structural factor is very important but the results of this study suggest that it is more important to consider the aesthetic and spatial factors of the bridge to increase the visual preference when planning and designing bridges. Simulations with more detailed data about surroundings should be utilized practical design.

A study on the Hand and the Sensibility Image of Preferred Underwear Textiles

  • Kim, Hee-Sook;Na, Mi-Hee;Cho, Shin-Hyun
    • International Journal of Human Ecology
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    • v.8 no.1
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    • pp.27-37
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    • 2007
  • The purpose of this study is to investigate the preference of the hand and the sensibility image of underwear textiles according to seasons. According to a recent survey of 109 college students, using a 7 scale evaluation to the preference of the hand and the sensibility image among 13 summer and 10 winter underwear textiles. The data was analyzed through mean, SD, factor analysis, t-test, Person correlation analysis and regression analysis using SPSS Win 11.0. The summer underwear textiles were classified according to six tactile factors: stiffness/surface unevenness, weight, elasticity, moistness, extension, and warm-cool and 3 sensibility image factors: elegant individual, modern, and sporty-casual. The winter textiles were classified according to six tactile factors: stiffness/surface unevenness, elasticity, warm-cool, drapability, moistness and flexibility and divided into 2 sensibility images: modern elegant and sporty-casual. Factors expressing hand and sensibility image according to season showed significant difference. In the summer, weight, in the winter, drapability and flexibility showed significant difference at the hand factor evaluation. The hand factors: weight, warm-cool and modern sensibility image factors effect the preference of summer underwear textile, also the hand factors-elasticity, stiffness/surface unevenness and the sensibility image factor-easy-sport-casual-effect the preference of winter textiles. Therefore, the thin, light, and cool textiles which are also gorgeous and sporty-casual are preferred for summer underwear textiles while soft, simple and comfortable textiles are preferred for winter textiles.

Sensibility Images of Korean Traditional Chumoni (한국전통주머니에 나타난 감성이미지)

  • 강정현;권영숙
    • Journal of the Korean Society of Costume
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    • v.53 no.4
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    • pp.1-16
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    • 2003
  • The purpose of this study is to investigate the sensibility images of Korean Traditional Chumoni. The detailed methodology of this study is as follows. Selections of stimuli to analyse the sensibility images of Korean Traditional Chumoni were made up of 15 stimuli. The survey has been done for the 15 slide stimuli with semantic differential hi-polar scales which are consist of 23 couples of sensibility words. The subjects were 150 female students majoring in clothing and textile. 150 male students majoring in other department and 150 female students majoring in other department in the twenties between 2001. 3. 30 and 2001. 4. 4. The obtained data were analyzed by factor analysis, cluster analysis. ANOVA. The major finds were as follows. 1. To explain the hierarchy of the sensibility of Korean Traditional Chumoni, two image groups were classified, one is noble and characteristic image the other is splendid and intensive image. Finally it represented noble and splendid image. 2. As result of the factor analysis. 3 factors which are Attraction, Decorativeness, Gravity were found to be constructing factors for the sensibility images of Korean Traditional Chumoni. 3. By cluster analysis, 4 clusters were determined according to Korean Traditional Chumoni. Cluster 1 is splendid. multi-colored and realistic in patteren. Cluster 2 is consist of 'true chumonis' and one-colored. Cluster 3 is modal in pattern. Cluster 4 is simple without any decorations. As to the difference of image of Korean Traditional Chumoni, there were significant differences amang 3 factors by cluster Cluster 1 was found most attractive and grave. Cluster 2 was found most decorative. 4. As to the difference of image of Korean Traditional Chumoni, there were significant differences amang 3 factors by decoration. Gold foil was found most attractive and grave. Embroidery was found most decorative. 5. As to the difference of image of Korean traditional chumoni, there were differences in Decorativeness and Gravity by sex and there were differences in Attraction by major.