[1]陈 郁,雷聪聪.基于K-Means聚类算法的秀场服装用色风格[J].服装学报,2024,9(03):268-273.
 CHEN Yu,LEI Congcong.Color Style of Fashion Show Clothing Based on K-Means Clustering Algorithm[J].Journal of Clothing Research,2024,9(03):268-273.
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基于K-Means聚类算法的秀场服装用色风格()
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《服装学报》[ISSN:2096-1928/CN:32-1864/TS]

卷:
第9卷
期数:
2024年03期
页码:
268-273
栏目:
服装营销
出版日期:
2024-07-01

文章信息/Info

Title:
Color Style of Fashion Show Clothing Based on K-Means Clustering Algorithm
作者:
陈 郁;  雷聪聪
上海工程技术大学 纺织服装学院,上海 201620
Author(s):
CHEN Yu;  LEI Congcong
School of Textiles and Fashion,Shanghai University of Engineering Science,Shanghai 201620,China
分类号:
F 768.3
文献标志码:
A
摘要:
针对传统手抄方法进行秀场色彩分析效率低下的问题,使用自动抠像算法提取秀场中的服装,根据服装图片RGB属性值,采用K-means聚类算法实现服装色彩聚类,得出当季服装用色风格。结果表明,秀场服装色彩自动聚类的方法较人工统计法效率大幅度提高,输出的分析结果可以更直观呈现当季知名品牌用色风格和趋势,为设计师确定服装用色提供参考。
Abstract:
In response to the low efficiency of traditional hand-copied fashion show color analysis, this article used an automatic 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.

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更新日期/Last Update: 2024-06-30