• 한국산업정보학회:학술대회논문집
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• 한국산업정보학회 2003년도 추계공동학술대회
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• pp.145-156
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• 2003

This paper for real time object tracking in this treatise detect histogram analysis that is accumulation value of binary conversion density and edge information and body that move by real time use of difference Image techniques and proposed method to object tracking. Firstly, we extract edge that can reduce quantity of data keeping information about form of input image in object detection. Object is extracted by performing difference image and binarization in edge image. Area of detected object is determined by threshold value that divide sum of horizontal accumulation value about binary conversion density by value that add horizontalityㆍverticality maximum accumulation value. Object is tracked by comparing similarity with object that is detected in previous frame and present frame. As experiment result, proposed algorithm could improve the object detection speed, and could track object by real time and could track local movement.

• 복식
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• 제61권6호
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• pp.101-112
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• 2011

The purpose of this study was to investigate the relationships among clothing image, make-up image, and hair image. The Data were collected from 306 women living in Gyeongnam province in June, 2009. Statistical analysis used in this study were frequency, F-test, t-test, Duncan test, factor analysis, Cronbach's ${\alpha}$, correlation coefficient, and multiple regression. The results of this study were as follows.: Three factors of clothing image were titled as elegance, youth, and visibility. Three factors of make-up image were titled as modern, romanticism, and mediocrity. Four factors of hair image were titled as attraction, individuality, gentleness, and cuteness. The clothing image, make-up image, and hair image according to the demographic characteristic of women showed significant difference. The clothing image resulted in correlation with the make-up image and hair image. The clothing image had a influence on the make-up image and hair image.

• 한국융합학회논문지
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• 제8권5호
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• pp.19-28
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• 2017

본 논문은 가상공간 제작을 위해 다수의 카메라로 영상을 촬영했을 때, 영상 특성 차이를 감소시키는 방법을 제안하였다. 각각 8 개의 본체와 렌즈를 교차 장착하여 64 개의 영상을 사용하였다. 영상 분석은 히스토그램과 픽셀 분포 값의 표준 편차를 분석 비교하였다. 분석결과, 동일 기종의 카메라임에도 불구하고, 렌즈 혹은 이미지 센서에 따라 각각 다른 영상 특성을 보여주었다. 본 논문에서는 이러한 차이를 보정하기 위해 영상의 전체 밝기 값의 분포를 조절하였다. 시뮬레이션 결과, 평균 편차가 최대 (실내 : 6.89, 실외 : 24.23) 이었으나, 시뮬레이션 진행 후 편차가 거의(실내 : 최대 0.42, 실외 : 최대 : 2.73) 없는 영상을 얻었다. 추후에는 영상 밝기 분포보다 정밀한 영상 분석 방법을 연구하고 적용할 것이다.

• 한국의류학회지
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• 제37권4호
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• pp.439-451
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• 2013

This study used Chinese female college students as subjects to classify the components of the Korean national image as well as understand the recognition difference of country image factors and Korean fashion images; in addition, it examined the differences of the effect of Korean national image factors on the Korean fashion attitudes of Chinese female college students. A SPSS 18.0 statistic program with factor analysis, Cronbach's ${\alpha}$, paired t-test, multiple regression analysis, frequency analysis and ${\chi}^2$-test was used. The results are: First, it was shown that there are six factors: culture-society, economy, products, sports, politics, and technology. Second, the recognition difference on the six factors were significantly higher for products, politics, technology, economy, culture-society, and sports, respectively. Third, the difference of Korean fashion images showed that they recognize design uniqueness and diversity to choose styles preferentially. Fourth, the purchase intention was significant in the order of culture-society, products, politics, and sports, and recognition affects culture-society, sports, and products, respectively. Fifth, they prefer THE E-LAND GROUP, Beaucre Merchandising, and The Basic House the most and show a strong purchase intention. The analysis also showed that other various brands that are also recognized. These study results can provide Korean fashion companies with useful implications for marketing.

• 패션비즈니스
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• 제7권4호
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• pp.43-56
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• 2003

The main purpose of this study was to investigate the difference of perceptional degree of imported make-up cosmetics brand and importance of brand image attributes, and the evaluation of brand image attributes of imported make-up cosmetics according to fashion involvement and to provide positioning the imported make-up cosmetics brands according to brand image attributes. Survey was conducted to 301 people from age 20 to 30 year female woman who is leaving in Seoul and Kyunggee Inchon using convenience editing. Material analyzing was done using t-test, factor analysis, cluster analysis, multidimensional scaling. The results were as follows. 1. The perceptional degree of brand and the importance brand image attributes showed significant difference according to fashion involvement. 2. The evaluation of brand image attributes of imported make-up cosmetics were different between high involvement group and low involvement group. 3. As a result of multidimensional scaling, the imported make-up cosmetics brands were positioned different according to brand image attributes between high involvement group and low involvement group.

• 한국의상디자인학회지
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• 제25권2호
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• pp.1-16
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• 2023

Due to the current seriousness of environmental pollution and the eco-friendly movement of the fashion industry, research on sustainable fashion design is being actively conducted. In this study, consumer perception of upcycling products, are divided into image, function, and meaning; and image is further divided into shape, color, and material. It was redefined as pattern, and image recognition was evaluated among men and women in their 20s and 30s, and men and women in their 40s and 50s used as subjects. First, factors that determine each image were extracted based on qualitative analysis of the precedent cases of upcycling bags, and quantitative analysis of the subjects was induced through a questionnaire. As a result of the analysis of evaluation items related to image association, the average frequency analysis of all subjects for each stimuli and the cognitive variance of the frequency analysis by generation by gender were found to be similar. However, awareness of some stimuli by generation showed a significant difference. Overall, in the three stimuli with high overall preference, common features, such as the basic box-shaped symmetrical structure, the monochromatic color of the Munsell system, solid and practical texture, and appropriate use of patterns were identified. In addition, it was confirmed that there was a difference with factors such as femininity, simplicity, touch, and splendor in the measurement factors. In conclusion, it is considered that the main significance of this study is that it excluded the recognition and meaning of upcycling products and explored the original design and image elements of products. Therefore, it is expected that this study will be used as a basic data for responding to the gender image of each generation as an alternative method of sustainable fashion design, and it will be an opportunity to expand the scope of the study to a detailed study beyond the biased topic.

• 한국측량학회지
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• 제22권3호
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• pp.261-268
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• 2004

위성영상자료를 통해 각 파장대별로 기록된 지표면에 대한 반사특성정보로 정규산화율지수(NBR)나 정규식생지수(NDVI)를 구하여 산림에 대한 분석을 할 수 있다. 따라서 본 연구에서는 산불이 발생한 강릉시 사천면 지역을 중심으로 산불 발생이전 산림이 온전하였던 시기의 영상과 산불 발생 직 후, 발생 1년 후 그리고 2년 후의 영상으로 정규산화율지수와 정규식생지수를 각각 구하여 이 지수를 비교 분석함으로써 정규산화율지수의 효용성을 강조하였다. 그 결과 NBR영상간 차이가 NDVI영상간 차이보다 큰 범위의 동적변화를 보이고 있으므로 산불 피해강도나 식생회복상태 분석 시 NBR영상을 사용하는 것이 좋을 것으로 판단되며, 산불피해 지역에서도 NBR 영상이 NDVI영상보다 산림피해강도나 회복상태를 더욱 뚜렷하게 보여주고 있다.

• 한국의류산업학회지
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• 제6권5호
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• pp.575-584
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• 2004

The purpose of this study was to investigate the differences in recognition of brand and advertisement image according to the advertisement expression forms of domestic make-up cosmetics. This study was conducted by means of a questionnaire survey of female which age from twenties to the thirties. The statistics used for data analysis were frequency distribution, Percentage, mean, factor analysis, and paired t-test by the SPSS program. The results of this study were as follows. The brand and advertisement image of domestic Make-up cosmetics were classified into seven factors. : Of good quality, high-toned, modern, chic, unique, familiar, stimulative brand and advertisement image. The brand image and advertisement image recognition didn't correspond in general except HERCYNA and ETUDE.

• 한국의류학회지
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• 제21권8호
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• pp.1297-1306
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• 1997

The purpose of this study was to investigate the difference of visual evaluation about combination of contrary clothing image, Elegance-Casual, Ethnic-Modern. The data were collected using 23 semantic differential hi-polar scale questionnaires from 50 female students majoring in clothing and textile and analyzed by Factor analysis, ANOVA, Discriminant analysis and MDS. The results obtained were summarized as follows; 1. As a result of factor analysis, 4 factors -Attractiveness, Casualness, Moderateness, Modernness-were found out as constructing factors of contrary clothing image. 2. For the visual evaluation of contrary clothing image combined with top and bottom, there were significant differences in all factors. 3. As a result of discriminant analysis, discrimination among images was more closely related to renovated image by combination of contrary clothing image. 4. As a result of MDS, evaluative dimensions of contrary clothing image were identified, and relationship between clothing images and special qualities of design was shown on positioning map.

• Agricultural and Biosystems Engineering
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• 제3권1호
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• pp.35-43
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• 2002

The spectral color resolution of an image is very important in color image analysis. Two factors influencing the spectral color resolution of an image are illumination intensity and lens aperture for a selected vision system. An optimal combination of illumination intensity and lens aperture for color image analysis was determined in the study. The method was based on a model of dynamic range defined as the absolute difference between digital values of selected foreground and background color in the image. The role of illumination intensity in machine vision was also described and a computer program for simulating the optimal combination of two factors was implemented for verifying the related algorithm. It was possible to estimate the non-saturating range of the illumination intensity (input voltage in the study) and the lens aperture by using a model of dynamic range. The method provided an optimal combination of the illumination intensity and the lens aperture, maximizing the color resolution between colors of interest in color analysis, and the estimated color resolution at the combination for a given vision system configuration.