首页> 外文期刊>Journal of Imaging Science and Technology >Yarn Color Measurement and Reproduction by a Multispectral Imaging System
【24h】

Yarn Color Measurement and Reproduction by a Multispectral Imaging System

机译:通过多光谱成像系统进行纱线颜色测量和复制

获取原文
获取原文并翻译 | 示例
       

摘要

Conventionally, measuring and thus reproducing yarn color is mainly done in an indirect way, involving the preparation of yarns in card or even fabric forms, which consumes both time and labor. A direct yarn color measurement and reproduction method based on a multispectral imaging system would be one solution to avoid this problem. In this research, 100% raw cotton yarn hanks dyed using several reactive colorants, being different sample sets, were measured by both a spectrophotometer in yarn card form and a multispectral imaging system innovatively in yarn form itself, for back-prediction and fore-prediction matching comparisons. Experimental results showed that the multispectral imaging system can perform closed-loop color reproduction satisfactorily by yarn form color measurements, with color difference means all within industrial tolerance. This new method is capable of shortening the yarn specimen handling time and, more importantly, giving more accurate yarn color measurements without the influence of neighboring colors, so as to give improved coloration accuracy. (C) 2015 Society for Imaging Science and Technology.
机译:常规地,测量并因此再现纱线颜色主要是间接地进行的,这涉及以梳理或什至织物形式制备纱线,这既浪费时间又费力。基于多光谱成像系统的直接纱线颜色测量和再现方法将是避免此问题的一种解决方案。在这项研究中,使用分光光度计以纱线卡形式和创新的以纱线形式本身的多光谱成像系统测量了使用几种活性染料(不同样品组)染色的100%原棉纱线束,以进行反向预测和预测。匹配比较。实验结果表明,该多光谱成像系统可以通过纱线形式的颜色测量令人满意地执行闭环颜色再现,并且色差均在工业公差范围内。这种新方法能够缩短纱线样品的处理时间,更重要的是,可以在不受相邻颜色影响的情况下提供更准确的纱线颜色测量,从而提高着色精度。 (C)2015年影像科学与技术学会。

著录项

  • 来源
    《Journal of Imaging Science and Technology》 |2015年第3期|030401.1-030401.8|共8页
  • 作者单位

    Hong Kong Polytech Univ, Inst Text & Clothing, Hong Kong, Hong Kong, Peoples R China;

    Hong Kong Polytech Univ, Inst Text & Clothing, Hong Kong, Hong Kong, Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号