Color Style of Fashion Show Clothing Based on K-Means Clustering Algorithm
In response to the low efficiency of traditional hand-copied fashion show color analysis,this article used an auto-matic image extraction algorithm to extract clothing from the fashion show.Based on the RGB attribute values of clothing images,K-means clustering algorithm was used to cluster clothing colors and obtain the color style for the current season's clothing.The results show that the automatic color clustering method for fashion shows exhibit a significantly higher efficiency compared to manual statistical methods,and the output analysis results can intuitively present the color styles and trends of well-known brands in the current season,and can provide a reference for designers to determine the color of clothing.
clothing colorcolor statisticsclustering algorithmfashion show clothingcolor styles
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