摘要
介绍了烟草在线异物剔除系统的结构及工作原理,讨论了系统方案设计中的主要问题,设计了系统原理样机调试实验,并分析了实验结果。采用HIS颜色模型,以色度为主要特征量,设定阈值对烟草和异物的像素点进行判别。在此基础上,设定一定数量的像素点构成判别单元,统计单元中异物像素点的比例,再对该比例进行二次判别,以最终给出表示烟草或异物的检测信号。采用高性能的元器件构成系统,并利用(MIL＿LITE7.0)图像开发库,实现对内存数据的直接操作。实验研究的结果表明:原理样机在模拟在线条件下能实时地运作,对异物具有较高的识别率和剔除率。
This paper introduces the structure and working principle of a tobacco online foreign body eliminating system, and discusses the key techniques in its design. The testing experiments of sample machine are designed, and the results are analyzed. The HIS color model is used and the chroma is taken as the most characteristic parameter. The threshold value is set to distinguish whether the pixel belongs to tobacco or foreign body. Based on these, some pixels are set to constitute a judgement unit, then the proportion of pixels is counted, which belongs to foreign body, then it is distinguished whether the unit belongs to tobacco or foreign body based on this proportion. Finally, the detected result is provided. Highperformance components and devices are employed to make the system. Direct operation on EMS memory is achieved by using image developing library. All above make the system operate realtimely on product line. The results of experiment indicate the sample machine can operate realimely on simulation online, and the distinguishing rate and eliminating rate to foreign body are preferable.
出处
《光学精密工程》
EI
CAS
CSCD
2003年第4期384-389,共6页
Optics and Precision Engineering
基金
国家计委项目:计高技[2000]1882号
国家高科技产业化工业过程自动化专项"企业集成自动化系统
