异性棉纤维智能检测和除杂方法研究  

The Research on Intelligence Method for Detecting and Cleaning up Foreign Fiber from Cotton

作　　者：庄晓燕[1] 周森鑫[1] 

机构地区：[1]安徽财经大学信息工程学院,安徽蚌埠233041

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)

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.

关 键 词：异性棉纤维检测 融合成像 复杂适应系统 智能控制 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]