基于聚类算法的黔东南苗族鸟纹刺绣图案色彩特征研究

目的 以可量化和可视化的方式对黔东南苗绣中鸟图案的色彩特征和搭配关系进行探究和呈现，为苗族图案设计创新提供色彩规律借鉴，同时为民族色彩数据库的建立做准备。方法 运用中值滤波算法以及自适应纹理滤波算法对212张样本进行去噪平滑处理后，用K-Means聚类算法提取图像色彩，采用自动获取k值的方式确定色彩提取数量，以主色优先方式构建色彩网络模型。借助HSV色彩空间模型，以频数统计的方式从色相、饱和度、明度三个维度对不同绣法的色彩特征进行归纳。结论 研究结果以数据和图表形式表现苗绣中鸟纹的色彩搭配及规律情况，能够较为客观、准确地反映出苗绣鸟纹刺绣图案的色彩特征，研究结果可为设计师提供大量色彩搭配方案参考，提高设计师工作效率，对民族图案的再设计应用及非物质文化遗产传承再创新都具有重要价值。

Color Characteristics of Bird Pattern Embroidery of Miao in Qiandongnan Based on K-means Clustering Algorithm

The work aims to explore and present the color characteristics and matching relationship of bird patterns in Qiandongnan Miao Embroidery in a quantifiable and visual way, so as to provide color reference for the innovation of Miao pattern design, and prepare for the establishment of national color database. After 212 samples were denoised and smoothed with median filtering algorithm and adaptive texture filtering algorithm, K-Means clustering algorithm was used to extract image colors. The number of colors extracted was determined by automatically obtaining k values, and the color network model was constructed with dominant color first. With the help of the HSV color space model, the color features of different embroidery methods were summarized from hue, saturation and lightness by means of frequency statistics. The research results show that the color matching and regularity of bird patterns in Miao embroidery in the form of data and charts can objectively and accurately reflect the color characteristics of bird patterns in Miao embroidery. The research results can provide designers with a lot of reference for color matching schemes, improve the work efficiency of designers, and have important value for the redesign and application of national patterns and the inheritance and innovation of intangible cultural heritage.