• Proceedings of the Korea Society for Industrial Systems Conference
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• 2003.11a
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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.

• Journal of the Korean Society of Costume
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• v.61 no.6
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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.

• Journal of the Korea Convergence Society
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• v.8 no.5
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• pp.19-28
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• 2017

In this paper, we propose a method to reduce the difference in image characteristics when multiple camera images are captured for virtual space production. Sixty-four images were used by cross-mounting eight bodies and lenses, respectively. Image analysis compares and analyzes the standard deviation of the histogram and pixel distribution values. As a result of the analysis, it shows different image characteristics depending on the lens or image sensor, though it is a camera of the same model. In this paper, we have adjusted the distribution of the overall brightness value of the image to compensate for this difference. As a result, the average deviation was the maximum of (Indoor: 6.89, outdoor: 24.23), we obtained images with almost no deviation (Indoor: maximum 0.42, outdoor: maximum: 2.73). In the future, we will study and apply more accurate image analysis methods than image brightness distribution.

• Journal of the Korean Society of Clothing and Textiles
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• v.37 no.4
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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.

• Journal of Fashion Business
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• v.7 no.4
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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.

• Journal of the Korea Fashion and Costume Design Association
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• v.25 no.2
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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.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.22 no.3
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• pp.261-268
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• 2004

Analysis on forest through satellite image data can be obtained from normalized burn ration (NBR) and normalized difference vegetation index (NDVI) from descriptive information of reflection on the earth's surface recorded each waveband. This study focuses on the efficiency of NBR through comparative analysis after obtaining NBR and NDVI of images form 1 you, 2 years and just after the forest fire and the time of forest-preserved of the area before the forest fire in Sacheon myeon, Cangneung City where the forest fro broke out. As a result, it shows dynamic changes with greater range that differences between NBR images rather than differences between NDVI images, which means it would be better to use NBR image for the analysis of the degrees of damages from forest fire or the status of vegetation restoration and also NBR image more distinctly shows both than NDVI image in forest fro damage area.

• Fashion & Textile Research Journal
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• v.6 no.5
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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.

• Journal of the Korean Society of Clothing and Textiles
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• v.21 no.8
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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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• v.3 no.1
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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.