| 摘要: |
| 【目的】设计一种基于无线网络的孢子图像实时传输及处理系统，以较好地实现小麦条锈病孢子的实时传输及监测。【方法】首先基于网络云技术，在Linux环境下设计了传输系统的云端服务器界面，实现了微型机自动摄像，通过使用TCP协议包装HTTP协议与云端服务器的连接，实现了图像的上传功能；其次，使用英特尔NUC5CPYH为采集传输终端，搭建图像传输系统硬件平台；最后采用K-means聚类算法在接收端对远程传输得到的孢子图像进行背景与孢子的分割、孢子图像的形态学处理及基于Harris的角点检测等处理，并最终实现孢子的计数。【结果】该无线传输系统的发送成功率为96.6%，该处理系统的平均计数准确率为97.1%，效果良好。【结论】该传输及处理系统可用于小麦条锈病越夏孢子的实时在线监测。 |
| 关键词: 小麦条锈病 越夏孢子 远程传输 云服务器 K-means Harris角点检测 |
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| 基金项目:陕西省重点产业链项目(2015KTZDNY01-06) |
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| Design of a real-time transmission and processing system for wheat stripe rust spore images |
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JIAO Lin,SONG Huaibo
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| Abstract: |
| 【Objective】A remote real time transmission and image processing system based on wireless network was designed to realize the real-time transmission and monitoring of wheat stripe rust spores.【Method】Based on the network cloud,a transmission system of the cloud server interface was designed in Linux environment to realize the microcomputer automatic camera,and the TCP protocol packaging HTTP protocol was used to connect the cloud server to realize the image upload function.Then,the hardware platform of the image transmission system for collection and transmission terminal was set up using Intel NUC5CPYH.Finally,K-means clustering algorithm and Harris corner detection method were used to process the images obtained at the receiving end.【Result】The success rate of the wireless transmission system was 96.6%,and the average accuracy of the processing system was 97.1%,which were good results.【Conclusion】The obtained transmission and processing system can be used in real-time on-line monitoring of summer spores of wheat stripe rust. |
| Key words: wheat stripe rust summer spore remote transmission cloud sever K-means Harris corner detection |
