Abstract:

Targeting at lacks of the deep level parsing on rules and mechanisms of clothing color, a nexus network model for clothing color relations and internal connection using imaging processing technology was established. The dominant colors and color ratios of female brand clothing were detected using two-step clustering before an innovative nexus network model was constructed and composed multi-features such as diff-color frequency, dual color matching intimacy and color distances. 500 female clothing images of three representative brands were chosen and analyzed in terms of main color distribution, matching relationship and mechanisms. The developed software efficiently displays each brand color pattern for different years and quarters with a visualized model. Results show that the main colors, spatial distance and co-occurrence rules are different, the cumulative proportion of the first three colors is more than 50%, and the time cost of a single image is less than 0.3 s.The visualized color nexus network model is able to display objectively clothing color rules,assisting the fashion merchandising and design decision-making.

Key words: women's clothing color matching, nexus network, color matching mechanism, color clustering, visualized model, spatial distance