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基于图像处理的烟草甲自动监测系统设计与应用

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根据烟草仓储及卷烟生产车间的烟草甲自动监测需求,结合烟草甲[Lasioderma serricorne(Fabricius)]实际图像特征,在基于标记分水岭算法的基础上叠加分割图像算法,设计了基于图像处理的烟草甲自动监测系统,通过全自动拍照设备定时采集相应诱捕器图像,利用有线网络将图像传输至服务器,在服务器端完成图像识别与计数、实时展示、超标报警、历史曲线查看等功能,解决了烟草甲实际监测过程中虫板烟尘、虫体重合、光线等诸多干扰因素,实现了烟草甲精准的自动图像识别及计数功能。实际应用表明,该系统工作稳定,计数平均准确率大于94。00%,在卷烟生产车间烟虫监测上具有较好的应用前景。
Design and application of an automatic monitoring system for Lasioderma serricorne(Fabricius)based on image processing
Based on the demand for automatic monitoring of Lasioderma serricorne(Fabricius)in tobacco storage and cigarette produc-tion workshops,combined with the actual image characteristics of Lasioderma serricorne(Fabricius),a Lasioderma serricorne(Fabri-cius)automatic monitoring system based on image processing was designed by overlaying segmentation image algorithms on the basis of labeled watershed algorithms.Fully automatic photography equipment was used to collect images of the corresponding traps at regu-lar intervals,the images were transmitted to the server via wired network,and functions such as image recognition and counting,real-time display,over limit alarm,and historical curve viewing were completed on the server end.Many interference factors such as insect board smoke,insect body overlap,and light during the actual monitoring process of Lasioderma serricorne(Fabricius)were solved,and precise automatic image recognition and counting functions for Lasioderma serricorne(Fabricius)were implemented.Practical ap-plications had shown that the system worked stably,with an average counting accuracy greater than 94.00%,and had good application prospects in tobacco pest monitoring in cigarette production workshops.

image processingLasioderma serricorne(Fabricius)automatic monitoring systemcigarettetobaccodesign and ap-plication

胡逸超、苏赞、陈义昌、张龑、苏晨阳、刘勇

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广西中烟工业有限责任公司,南宁 530001

武汉东昌仓贮技术有限公司,武汉 430074

图像处理 烟草甲[Lasioderma serricorne(Fabricius)] 自动监测系统 卷烟 烟草 设计与应用

2024

湖北农业科学
湖北省农业科学院 华中农业大学 长江大学 黄冈师范学院

湖北农业科学

CSTPCD
影响因子:0.442
ISSN:0439-8114
年,卷(期):2024.63(4)
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