|本期目录/Table of Contents|

[1]李俞霏,梁惠娥.明代织物纹样的智能提取——以斗牛袍为例[J].丝绸,2018,55(11):111109.[doi:10.3969/j.issn.1001-7003.2018.11.009]
 LI Yufei LIANG Huie.Intelligent extraction of patterns from Ming dynasty fabrics: the case study of the bullfight robe[J].Journal of Silk,2018,55(11):111109.[doi:10.3969/j.issn.1001-7003.2018.11.009]
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明代织物纹样的智能提取——以斗牛袍为例(PDF)
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《丝绸》[ISSN:1001-7003/CN:33-1122/TS]

卷:
55
期数:
2018年11期
页码:
111109
栏目:
研究与技术
出版日期:
2018-11-20

文章信息/Info

Title:
Intelligent extraction of patterns from Ming dynasty fabrics: the case study of the bullfight robe
文章编号:
1001-7003(2018)11-0053-06
作者:
李俞霏梁惠娥
1.江南大学 纺织服装学院,江苏 无锡 214122;2.齐鲁工业大学 艺术学院,济南 250353
Author(s):
LI Yufei  LIANG Huie
 1.College of Textiles and Clothing, Jiangnan University, Wuxi 214122, China; 2.College of ArtQilu University of Technology, Jinan 250353, China
关键词:
明代织物纹样斗牛袍K-means聚类算法聚类有效性
Keywords:
Ming dynasty fabric pattern bullfight robe K-means clustering algorithm clustering effectiveness
分类号:
TS941.19
doi:
10.3969/j.issn.1001-7003.2018.11.009
文献标志码:
A
摘要:
为解决人工提取明代织物纹样色彩存在难度大、准确性差、直接采样难的问题。文章以明代赐服斗牛袍为例,探讨一种新的纹样提取手段。首先,利用高分辨率数码相机采集斗牛袍织物纹样;然后将RGB颜色空间的数字图像转换至CIELab颜色空间,用中值滤波法对彩色图像进行平滑处理;再用K-means聚类算法对图像中的色彩进行聚类,以实现不同色彩纹样的分割;最后利用Calinski-Harabasz指标对聚类有效性进行判断,获取最佳聚类数。实验结果表明,此方法可以实现纹样色彩的聚类分割与智能提取,为研究珍贵古代织物纹样提供有效途径。
Abstract:
Extracting patterns and colors from Ming dynasty fabrics manually has been faced with such problems as large difficulty, poor accuracy and difficulties in direct sampling. The bullfight robe in the Ming dynasty was chosen as an example to discuss a new method of extracting fabric patterns, in hope of solv ing the aforementioned problems. Firstly, digital images of fabric patterns in the Bullfight robe were acquired through high-resolution digital cameras . Secondly, the images in RGB color space were converted to CIELab color space, and the color images were smoothened by median filter . Thirdly, K-means clustering algorithm was used for color clustering so as to segment the patterns with different colors . Finally, Calinski-Harabasz index was applied to judge the effectiveness of clustering and obtain the best cluster number. Experiment results indicate d that this new method could complete clustering segmentation and intelligent extraction of fabric patterns and colors . The paper provides an effective and efficient way for studying precious ancient fabric patterns.

参考文献/References:

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备注/Memo

备注/Memo:
基金项目:山东省社科规划项目(16CWYJ04)
收稿日期:2018-05-16
修回日期:2018-00-00
作者简介:李俞霏(1979—),女,副教授,博士研究生,主要从事服饰文化的研究
通信作者:梁惠娥,教授,lianghe@jiangnan.edu.cn
更新日期/Last Update: 2018-10-15