[1]刘志强,梁琨,沈明霞,等.基于无线传感网络的植物生长图像传输和分割算法研究[J].南京农业大学学报,2014,37(4):170-176.[doi:10.7685/j.issn.1000-2030.2014.04.025]
 LIU Zhiqiang,LIANG Kun,SHEN Mingxia,et al.Research of plant growth image transmission based on wireless sensor network and segmentation algorithm[J].Journal of Nanjing Agricultural University,2014,37(4):170-176.[doi:10.7685/j.issn.1000-2030.2014.04.025]
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基于无线传感网络的植物生长图像传输和分割算法研究()
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《南京农业大学学报》[ISSN:1000-2030/CN:32-1148/S]

卷:
37卷
期数:
2014年4期
页码:
170-176
栏目:
出版日期:
2014-06-25

文章信息/Info

Title:
Research of plant growth image transmission based on wireless sensor network and segmentation algorithm
作者:
刘志强 梁琨 沈明霞 陆明洲 孙玉文 刘龙申
南京农业大学工学院/江苏省现代设施农业技术与装备工程实验室, 江苏 南京 210031
Author(s):
LIU Zhiqiang LIANG Kun SHEN Mingxia LU Mingzhou SUN Yuwen LIU Longshen
College of Engineering/Laboratory of Modern Facility Agriculture Technology and Equipment Engineering of Jiangsu Province, Nanjing Agricultural University, Nanjing 210031, China
关键词:
温室无线传感节点SimpliciTI图像分割
Keywords:
greenhousewireless sensor nodeSimpliciTIimage segmentation
分类号:
TP29
DOI:
10.7685/j.issn.1000-2030.2014.04.025
摘要:
为了获取温室中植物生长图像信息,设计了一款能够监测温室内植物生长信息的无线智能图像采集节点,引入了休眠-唤醒机制大幅降低节点能耗。节点采用STM32ZET6芯片作为微控制器,CC1101为射频模块,扩展了OV7670图像传感器。将SimpliciTI射频网络协议移植到STM32处理器中,将采集的图像信息经过JPEG2000压缩后,分包多跳无线传输至服务器,服务器接收图像,利用改进型LoG算子实现图像分割,得到图像分割结果。结果表明:在温室环境中最大通信距离110 m,节点丢包率较低。一帧JPEG2000格式的温室内植物生长信息图像大小约18 kB,传输时间较短,节点在3.6 V锂电池供电下能工作20 d,汇聚节点接收一帧JPEG2000压缩后的图像时间为158 s。结论:图像节点在温室环境下,以较低能耗采集和传输植物生长信息图像,节点运行稳定,图像分割方法鲁棒性强,在光线变化较大的情况下分割仍然稳定。
Abstract:
To acquire greenhouse enviromental information,besides the acquisition of greenhouse enviromental information such as temperature and humidity,light,carbon dioxide and other enviromental information,and the image information of plants growing condition is also very important.Aim at solving the requirements of plants growing information in greenhouse enviroment and the problems that existing node transmission about ZigBee protocol stack is complex and high power consumption,this study designed a wireless smart image acquisition node in order to monitor the plant growth in greenhouse,and introduced a sleep-wake up mechanism to reduce the energy of cosumption.The node is composed by STM32ZET6 chip as micro-controller,CC1101 for RF module,and expanded OV7670 as image senor.Image package was designed according to the frame format of the SimpliciTI protocol,and after JPEG2000 compression subcontrated and transmissed by network,the server recieved the image and using the improved LoG operator achieved image segmentation,and obtained the image segmentation results.The results privide image analysis data for greenhouse enviroment monitoting.To test the relation between transmitted power with data transmission rate and the package loss rate.RF working frequency is 433 MHz,and adopts the GFSK modulation method.Antenna height distance is 1 m,antenna gain 2 dBi is chosen,the sending power respectively is 250 kBaud.The length of test package is 250 kBaud,to send 100 package each time.The experiments showed the design of wireless sensor node can collect and transmit plant growth information at a relatively low energy consumption,the maximum conmmunication distance is 110 m and the loss ration of packet is lower.An image at interval of 20 mins,and 21 images together were collected.PC got cucumber leaf images through the iamge collecting software designed through VC++6.0,selected the Sobel operator,LoG operator and modified LoG operator.A frame of JPEG2000 format upon plant growth in greenhouse information for the image size is about 18 kB,and transmission time is shorter.Nodes under 3.6 V lithium battery can work 20 days,and gathering node receives a frame JPEG2000 compressed image upon time consumption of 158 s.The results show the segmentation method is robust,division of larger changes in the light of the circumstances remains stable,and it improves the bigger influence of noise,over-detailed division status.

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备注/Memo

备注/Memo:
收稿日期:2013-7-17。
基金项目:江苏省科技支撑计划项目(BE2011336);江苏省产学研联合创新资金项目(BY2012207)
作者简介:刘志强,硕士研究生。
通讯作者:沈明霞,教授,主要从事机器视觉与信息农业领域研究,E-mail:mingxia@njau.edu.cn。
更新日期/Last Update: 1900-01-01