In order to improve the problems such as fragmentation of clothing color matching knowledge and fuzzy principles,improve the objective effectiveness of clothing color matching analysis,and reduce the error rate of subjective analysis,clothing color matching was classified,sorted out and visualized by mining the rules between color attributes and clothing color matching.MatLab APP designer platform was used to obtain the color data of mouse position image,and HSV color space and M beauty value were used as the basis for analysis.The data quantization model of influencing factors was established according to the attribute characteristics of clothing color.Finally,an analysis system that was visualize,easy to operate and store data was constructed by combining the corresponding relationship of clothing color matching rules.The color matching manual and the advanced color matching scheme on the network platform were used to verify the system,and the pass rate of beauty value reached 94.16%.The established quantitative analysis system of clothing color matching provides rational and scientific guidance for the research and analysis of color matching.
关键词
服饰配色/色彩属性特征/配色规则/量化/HSV色彩空间
Key words
clothing color matching/color attributes/color matching rules/quantification/HSV color space
维普
万方数据