基于蜂鸟羽毛的色彩提取及应用

发布时间：2018-03-25 17:48

  本文选题：聚类算法　切入点：初始聚类中心　出处：《丝绸》2017年12期

【摘要】：鸟类羽毛色彩进化了上万年,形成了一套天然美感的搭配法则,能够为设计师提供设计灵感。为探寻其中的配色规律并加以利用,文章基于蜂鸟羽毛的色彩进行了一系列的仿生色彩提取研究。首先针对K-MEANS聚类算法,对比分析了色相模式与灰度模式两种不同的初始聚类中心的设置方法,并在此基础上提出了一种经过优化的初始聚类中心的设置方法;然后使用优化过后的K-MEANS聚类算法,对10种蜂鸟共200张羽毛色彩照片进行羽毛色彩的主色系提取。通过三次聚类计算,探讨分析蜂鸟羽毛色彩的配色规律,制得相应的占比配色色卡,为设计师在以蜂鸟羽毛色彩为灵感来源的配色方案上提供了一定的理论依据。
[Abstract]:Bird feather color evolved for tens of thousands of years, forming a set of natural aesthetic collocation rules that can provide designers with design inspiration. In this paper, a series of bionic color extraction methods based on hue of hummingbird feathers are studied. Firstly, aiming at K-MEANS clustering algorithm, two different initial clustering center setting methods, hue pattern and gray model, are compared and analyzed. On this basis, an optimized initial clustering center setting method is proposed, and then the optimized K-MEANS clustering algorithm is used. In this paper, 200 feather color photographs of 10 species of hummingbird were extracted from the main color system of feather color. The color matching law of hummingbird feather color was analyzed by three cluster calculation, and the corresponding color matching card was obtained. It provides a theoretical basis for the design of color matching scheme based on hummingbird feather color.
【作者单位】： 浙江理工大学"纺织纤维材料与加工技术"国家地方联合工程实验室;达利丝绸(浙江)有限公司;
【分类号】：TP391.41
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本文编号：1664231