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嵌入式植物自动识别系统的设计与实现
引用本文:陈芳,张广群,崔坤鹏,汪杭军.嵌入式植物自动识别系统的设计与实现[J].浙江农林大学学报,2013,30(3):379-384.
作者姓名:陈芳  张广群  崔坤鹏  汪杭军
作者单位:1.浙江农林大学 信息工程学院,浙江 临安 311300;2.浙江农林大学 天目学院,浙江 临安 311300
摘    要:采用嵌入式技术和图像处理技术,通过提取叶片相对稳定的形状特征实现对植物种类的识别分类。系统基于Ubuntu 10.04,采用Qt Creator1.3.1在北京博创公司的UP-NETARM2410-S开发板上进行了实现。功能包括植物叶片的采集和图像拍摄、图像预处理(图片灰度处理及轮廓提取)、图像特征提取(包括叶片的圆形度、偏心率等特征)、图像识别这4个步骤。实验结果表明:该系统可以比较准确地实现对银杏Ginkgo biloba,樟树Cinnamomum camphora,无患子Sapindus saponaria等9种植物叶片的识别分类。图6表1参13

关 键 词:植物学    叶片识别    图像处理    嵌入式    特征提取
收稿时间:2012-05-23

Design and implementation of an embedded automatic plant recognition system
CHEN Fang,ZHANG Guangqun,CUI Kunpeng,WANG Hangjun.Design and implementation of an embedded automatic plant recognition system[J].Journal of Zhejiang A&F University,2013,30(3):379-384.
Authors:CHEN Fang  ZHANG Guangqun  CUI Kunpeng  WANG Hangjun
Institution:1.School of Information Engineering,Zhejiang A & F Uniersity,Lin’an 311300,Zhejiang,China;2.College of Tianmu,Zhejiang A & F Uniersity,Lin’an 311300,Zhejiang,China
Abstract:To identify plant categories based on steady characteristics of leaves with embedded techniques and image processing technology,a system was designed and implemented based on Ubuntu 10.04,Qt Creator1.3.1,and UP-NETARM2410-S board developed by Bochuang Company. The system includes four steps: (1) collecting leaves and taking images,(2) preprocessing images (transform them into grayscale images and extracting the contours),(3) extracting shape features (including leaf shape,complexity,and eccentricity),and (4) matching and recognizing the leaves. The results showed that this system can accurately recognize Ginkgo biloba,Cinnamomum camphora,Sapindus saponaria,and plant leaves from nine other species. [Ch,6 fig. 1 tab. 13 ref.]
Keywords:
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