期刊文献+

异性棉纤维智能检测和除杂方法研究 被引量:1

The Research on Intelligence Method for Detecting and Cleaning up Foreign Fiber from Cotton
下载PDF
导出
摘要 文中在研究国内外异性棉纤维检测方法的基础上提出智能异性棉纤维检测和除杂系统。该系统主要有智能机器视觉、智能反馈、智能除杂等三个重要环节,智能机器视觉是利用不同异性纤维在不同波段的光谱特征通过智能图像融合提取杂质信息,智能反馈系统主要是根据检测信息智能处理反馈信号,智能除杂系统主要针对杂质的分布情况智能处理各喷头的风力。同时采用复杂适应系统理论解决多智能体之间的协同配合问题。实验结果表明该方法能大大提高检测效率和除杂精度。 Put forward the intelligence opposite foreign fiber detection fiber and clean up in the foundation of studying the domestic and international methods.The system mainly are made up of intelligence machine sense of vision,intelligence feedback,intelligence clean up etc.The intelligence machine sense of vision is to withdraw information by the intelligence picture fusion that the spectrum characteristic of foreign fiber is different in different wave band.The intelligence feedback system mainly process feedback signal according to the detection information. The cleanning up system mainly process each wind force in intelligence. The CAS is adopted to resolve mutiple intelligence bodies eollahoration problem. The tests show that the system can raise the detection efficiency and cleaning up accuracy.
出处 《计算机技术与发展》 2010年第1期225-228,共4页 Computer Technology and Development
基金 2009年安徽省高校自然基金重大项目(ZD200905) 中华全国供销合作总社研究课题(GXZS0812) 安徽财经大学教研项目(ACJYYB200942)
关键词 异性棉纤维检测 融合成像 复杂适应系统 智能控制 foreign fiber detection fusion imaging CAS intelligence control
  • 相关文献

参考文献8

  • 1郏东耀,丁天怀.棉花中异性纤维的多光谱检测[J].清华大学学报(自然科学版),2005,45(2):193-196. 被引量:32
  • 2任长志.基于机器视觉的异性纤维检测系统研究[D].济南:山东大学,2003.
  • 3艾世一,王跃存,刘迪.基于MATLAB的图像识别技术的原棉异纤在线检测[J].天津工业大学学报,2004,23(2):70-73. 被引量:7
  • 4邱世明.复杂适应系统协同理论、方法与应用研究[D].天津:天津大学,2006.
  • 5Haddadi. Reasoning about ceoperation in agent systems: a pragmatic theory[D]. Manchester, UK: University of Manchcstcr Institute of Science and Teclmology(UMIST), 1995.
  • 6Walsh G C, Ye HorN, Bushnell L. Stability analysis of networked control systems[C]//Proceedings of American Control Conference. San Diego, California, USA: institute of electrical and electronics engineers, 1999:2876- 2880.
  • 7惠伟,王红.复杂网络在城市公交网络中的实证分析[J].计算机技术与发展,2008,18(11):217-219. 被引量:22
  • 8Wooldridge M J, Jennings N R. Intelligent agent:theory and practice[ J ]. Knowledge Engineering Review, 1995, 10 ( 2 ) : 115 - 152.

二级参考文献21

  • 1赵金山,狄增如,王大辉.北京市公共汽车交通网络几何性质的实证研究[J].复杂系统与复杂性科学,2005,2(2):45-48. 被引量:45
  • 2张晨,张宁.上海市公交网络拓扑性质研究[J].上海理工大学学报,2006,28(5):489-494. 被引量:33
  • 3梁德群.基于图像识别的工业检测技术[J].光子学报,1993,22(23).
  • 4王汝笠 李正宇.光电子棉花杂质自动在线检测方法与装置 [P].中国专利97106293.5.1997.
  • 5United States Department of Agriculture. Agriculture Marketing Services-the Classification of Cotton [M]. Washington, USA, 1999. 92-96.
  • 6Strolz H M. ITMF cotton contamination survey 1999 [A]. Cotton Conf in Texas USA [C]. Los Angeles, USA: World Textile Publications Ltd, 2000. 63-67.
  • 7Pai A, Sari-Sarraf H, Hequet E F. Recognition of cotton contamination via X-ray micro-tomographic image analysis [A]. 37th IAS Annual Meeting Industry Applications Conference [C]. Pittsburgh, PA USA: Industry & Engineering Press, 2002. 420-427.
  • 8Tantaswadi P, Vilainatre J, Tamaree N. Machine vision for automated visual inspection of cotton quality in textile industry using color isodiscrimination contour [J]. Computers and Industrial Engineering, 1999, 37(12): 347-350.
  • 9Kang T J, Kim S C. Objection evaluation of the trash and color of raw cotton by image processing and neural network [J]. Textile Res J, 2002, 72(9): 776-782.
  • 10XU B, Fang C, Huang R, et al. Chromatic image analysis for cotton trash and color measurement [J]. Textile Res J, 1997, 67: 881-890.

共引文献58

同被引文献6

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