Intelligent Recognition of Colour and Contour from Ancient Chinese Embroidery Images

IF 0.7 4区 工程技术 Q3 MATERIALS SCIENCE, TEXTILES Fibres & Textiles in Eastern Europe Pub Date : 2022-05-01 DOI:10.2478/ftee-2022-0026
Fei Ju, Qiang Wang, Zhenke Tan, Quan Li
{"title":"Intelligent Recognition of Colour and Contour from Ancient Chinese Embroidery Images","authors":"Fei Ju, Qiang Wang, Zhenke Tan, Quan Li","doi":"10.2478/ftee-2022-0026","DOIUrl":null,"url":null,"abstract":"Abstract Ancient Chinese embroidery is an important intangible part of the cultural heritage of mankind. Its colours and contours are a major source of oriental inspiration and design elements for designers today. This study presents an effective intelligent recognition of colour and contour based on K-means++ clustering and the Canny operator for colour and contour application of ancient Chinese embroidery images and for digital inheritance and innovation. First, digital cameras and portable scanners were used in embroidery image acquisition. Second, colour level adjustment, sharpening and smoothing were specially added to the preprocessing, because of the ancient embroidery age or colour errors caused by the shooting angle. Third, K-means++ clustering was used for colour clustering. Fourth, the Canny operator was used for contour detection. After the addition of colour level adjustment and sharpening in the preprocessing, the colours and contours could be acquired accurately and more effectively from embroidery images and be read and edited independently.","PeriodicalId":12309,"journal":{"name":"Fibres & Textiles in Eastern Europe","volume":null,"pages":null},"PeriodicalIF":0.7000,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fibres & Textiles in Eastern Europe","FirstCategoryId":"88","ListUrlMain":"https://doi.org/10.2478/ftee-2022-0026","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MATERIALS SCIENCE, TEXTILES","Score":null,"Total":0}
引用次数: 0

Abstract

Abstract Ancient Chinese embroidery is an important intangible part of the cultural heritage of mankind. Its colours and contours are a major source of oriental inspiration and design elements for designers today. This study presents an effective intelligent recognition of colour and contour based on K-means++ clustering and the Canny operator for colour and contour application of ancient Chinese embroidery images and for digital inheritance and innovation. First, digital cameras and portable scanners were used in embroidery image acquisition. Second, colour level adjustment, sharpening and smoothing were specially added to the preprocessing, because of the ancient embroidery age or colour errors caused by the shooting angle. Third, K-means++ clustering was used for colour clustering. Fourth, the Canny operator was used for contour detection. After the addition of colour level adjustment and sharpening in the preprocessing, the colours and contours could be acquired accurately and more effectively from embroidery images and be read and edited independently.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
中国古代刺绣图像颜色和轮廓的智能识别
摘要中国古代刺绣是人类文化遗产中重要的非物质组成部分。它的颜色和轮廓是当今设计师东方灵感和设计元素的主要来源。本研究提出了一种基于K-means++聚类和Canny算子的有效的颜色和轮廓智能识别方法,用于中国古代刺绣图像的颜色和外形应用以及数字继承和创新。首先,在刺绣图像采集中使用了数码相机和便携式扫描仪。其次,由于刺绣年代久远或拍摄角度造成的色彩误差,在预处理中特别增加了色阶调整、锐化和平滑。第三,使用K-means++聚类进行颜色聚类。第四,使用Canny算子进行轮廓检测。在预处理中增加了色阶调整和锐化,可以更准确、更有效地从刺绣图像中获取颜色和轮廓,并可以独立读取和编辑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Fibres & Textiles in Eastern Europe
Fibres & Textiles in Eastern Europe 工程技术-材料科学:纺织
CiteScore
1.60
自引率
11.10%
发文量
12
审稿时长
13.5 months
期刊介绍: FIBRES & TEXTILES in Eastern Europe is a peer reviewed bimonthly scientific journal devoted to current problems of fibre, textile and fibrous products’ science as well as general economic problems of textile industry worldwide. The content of the journal is available online as free open access. FIBRES & TEXTILES in Eastern Europe constitutes a forum for the exchange of information and the establishment of mutual contact for cooperation between scientific centres, as well as between science and industry.
期刊最新文献
Investigation of the Accelerated Ageing of Carbon-Epoxy Composites on their Mechanical Properties Knitted Heating Mats Evaluation of Insulation against Contact Heat, Radiant Heat and Sensory Comfort of Basalt Fabric-Based Composites with Parylene C Coating Digital Inheritance of Traditional Mongolian Robes of the Nayman Tribe Experimental Investigation on the Bending Behavior of Weft Interlaced Multilayered Woven Fabrics for Composite Applications
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1