期刊文献+

适用于印染业的远程校色方法 被引量:2

Remote color-calibration suitable for dyeing and printing enterprises
下载PDF
导出
摘要 针对印染业中的计算机配色工艺设计了一种利用测色仪进行颜色校正、实现颜色远程传递的算法。该算法以Pantone标准色卡为参照,对企业和客户端不同测色仪的测试结果进行校正,以解决同一样本在不同测色仪上的色度值误差,使企业和客户对产品的色泽要求最终达到一致,从而将客户的颜色效果传递给企业,方便企业进行计算机配色。实践证明,提出的远程校色方法能够帮助印染企业改进颜色传递方式,提高生产效率,增加效益。 Aiming at the computer-aided color matching in dyeing and printing enterprises, a color-calibrated digital method using color measurement instrument has been developed, realizing remote transmission of color. This method uses Pantone color cards as criterion to calibrate the different results of color measured by enterprise and customer whose instruments may be different and different results may be obtained to a same color sample. Color-calibrated digital data of the customer can be transmitted to the enterprise so that the computer-aid color matching of the enterprise can be performed accurately and conveniently and color consistency between customer and enterprise is effected. It is proved by practice that this remote color- calibration method can help dyeing and printing enterprises improve their color transmitting way, and raise production efficiency and economic result.
出处 《纺织学报》 EI CAS CSCD 北大核心 2007年第1期81-83,共3页 Journal of Textile Research
基金 浙江省制造业信息化工程重大科技攻关项目(2003C11043) 浙江省科技计划重点项目(2005C21023)
关键词 印染 数字颜色 远程校色 色差 dyeing and printing digital color remote color-calibration color difference
  • 相关文献

参考文献2

二级参考文献24

  • 1Zeng Hua,Liao Ningfang,Yu Hongfei,et al.Calculation model used for recipe revision in computer color matching [J].Optical Engineering,1999,38(12):1996-1999.
  • 2Stephen Westland,Laura Iovine,John M Bishop.KubelkaMunk or neural networks for computer colorant formulation [J].Proceedings of SPIE-The International Society for Optical Engineering,2001,4421:745-748.
  • 3Bishop J M,Bushnell M J.Application of neural networks to computer recipe prediction [ J ].Color Research and Application,1991,16(1):3-9.
  • 4Spehl J,Wolker W,Kettler W H,et al.Application of back propagation nets for color recipe prediction as a nonlinear approximation problem [ J ].IEEE International Conference on Neural Networks-conference proceedings [ C ].1994.3336-3341.
  • 5Eiji Mizutani,Jyh-Shing R.Jang,Kenichi Nishio,et al.Coactive neuro-fuzzy modelling for color recipe prediction [A].IEEE International Conference on Neural Networksconference proceedings[ C].1995.2252-2257.
  • 6Eiji Mizutani,Hideyuki Takagi,David M Auslander,et al.Evolving color recipes [ J ].IEEE Transactions on Systems,Man,and Cybernetics,Part C:Applications and Reviews.2000,30(4):537-550.
  • 7Karamantscheva I,Martin D,Rappoport F,et al.Smart match:expert system software package for textile colour formulation[J].Textile Hoirzons,1994,14(4):33-37.
  • 8William Cheetham.Benefits of case-based reasoning in color matching [ A].In:Aha D W,Watson I,eds.4th International Conference on Case-Baed Reasoning [ C ].Springer-Verlag Berlin Heidelberg,2001.589-596.
  • 9http://www.gecolorxpress.com/jsp/extranet/user/home.jsp.
  • 10Shamey R,Hussain T.Artificial intelligence in the color and textile industry [ J ].Review of Progress in Coloration,2003,33:33-45.

共引文献17

同被引文献18

引证文献2

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部