The purpose of this study is to classify fashion lifestyle types for color planning and to propose color planning of spring & summer by fashion lifestyle by analyzing preferred colors by fashion lifestyle type. The survey was conducted on women between the ages of 30 and 59 using a separately prepared questionnaire and color sample table and also through one-on-one interviews. The results of this study are as follows. First, the participants’ fashion lifestyles were divided into three categories: information individuality type, display type, and practicality type. Second, regarding basic colors: the basic color consistently used for a long time, it was found that there were significant differences in preferred hue and tone according to the types of fashion lifestyles. Specifically, the most preferred hue of all the fashion lifestyle types was achromatic color N and the most preferred tone was V. Third, regarding color trends: the trendy color occupying a market transiently, there were significant differences in preferred hue and preferred tone according to the types of fashion lifestyle. The most preferred hue of all the fashion lifestyle types was B. The most preferred tone of the information individuality type and the display type was V, and that of the practicality type was B. The study found that, in color planning, fashion lifestyles can function as an effective tool to subdivide consumers. Based on the empirical results of this study, I propose that color planning should be based on the type of fashion lifestyle.
The purpose of this study is to propose the information and idea that can be applied to color planning by investigating preferred color according to ages, items by distribution of 30s~50s women. As the survey method, questionnaire survey and one-to-one investigation by preparing the color table of basic color and trend color were conducted, and total of 280 questionnaires were used for statistical analysis. The results of this study areas follows. First, in basic color, there were significant differences in preferred hues and tones by age groups. The preferred hues were N, PB in all ages, and the higher the age, the more people preferred vivid tones. Second, in basic color, there was significant difference in preferred hues of jumpers, one-pieces by distribution, and the preferred hue was found to be N in the items except jumpers. There were significant differences in preference tones of all items according to distribution. Third, in trend color, there was no significant difference in preferred hues by age groups. Preferred tones had significant differences by distribution, and the higher the age, the more people preferred vivid tones. Fourth, in trend color, some items had significant differences in preferred hues and tones by distribution. B was preferred in all age groups, and vivid tones were more preferred in wholesaler than the department store. Based on these results, this study proposed 30s~50s women's wear color planning idea that applied consumers' preferred color according to ages and items by distribution.
This study aimed to provide the basic data of the establishment of marketing strategies by dividing consumer groups in accordance with the pursuit of clothing benefit, and then understanding the importance of clothing selection criteria in those groups, whether there are any differences in it between groups, and whether there are any differences in preference of clothing color depending on the mood state of those groups. The scale of this study was comprised of the pursuit of clothing benefit factors, clothing selection criteria factors, and the factors related to preference of clothing color by each mood state. In the results of the analysis, the factor most considered when male and female consumers in 20s~30s purchase clothing was fitting, and followed by convenience, stable shape, condition, design, and others' reaction in order. However, those 'design', 'convenience', 'others' reaction' and 'condition' factors were significantly different between groups. Therefore, the significance of this study is that fashion brands could develop new positioning maps for marketing and promotional strategies based on the pursuit of clothing benefit shown in this study.
본 논문에서는 인간의 피부색에 대한 선호색 영역을 실험을 통해 결정하고, 입력 영상에서 인간의 피부색을 선호색으로 사상하는 방법을 제안하였다. 선호색 실험은 색 변환이 가능한 프로그램을 이용하여 각 관찰자들에 대한 선호색 영역을 결정하고, 이것을 실제 얼굴 모양의 패치에 적용하여 선호색 실험을 부가적으로 수행함으로써 보다 효과적으로 선호색 영역을 결정하였다. 선호색 사상 알고리즘은 크게 입력 영상에서 피부색 영역을 추출하는 과정과 추출된 피부색 영상을 선호색으로 변환하는 과정으로 구성되며, 피부색 영역을 추출하기 위한 방법으로 피부색이 포함된 여러 영상의 색상 분포 특성을
작성하여 이를 분석함으로써 통계적으로 피부색 영역을 결정하였다. 선호색으로의 사상 과정은 입력 영상의 피부색 영역에서 밝기 분포 특성을 분석하여 평균 밝기값을 계산하고 그 범위를 판단하여 대표 밝기값을 적용한 다음, 색상과 채도 히스토그램을 바탕으로 대표 색상값과 대표 채도값을 지정하고, 그 값을 선호색 실험을 통해 얻은 각 밝기 단계별 선호 색상값과 선호 채도값으로 변환함으로써 선호색 사상을 수행하였다. 그 결과 보다 부드럽고 자연스러운 선호색 영상을 획득할 수 있었다.