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基于机器视觉和随机方法的作物行提取算法
引用本文:姜国权,柯杏,杜尚丰,陈娇.基于机器视觉和随机方法的作物行提取算法[J].农业机械学报,2008,39(11):85-88.
作者姓名:姜国权  柯杏  杜尚丰  陈娇
作者单位:中国农业大学信息与电气工程学院,北京市,100083
基金项目:国家"863"高技术研究发展计划资助项目
摘    要:根据农田作物图像特点,采用基于垂直投影的窗口移动方法,得到代表作物行的定位点,提出了基于机器视觉和随机方法的作物行提取算法.该算法从定位点中随机选取2个不同点,决定一条候选直线,再根据阈值规则,进一步判断候选直线的真实性.实验结果表明,该算法可以提取不同作物的作物行,处理一幅640×480像素的彩色图像平均需要220 ms,正确识别率达98%.

关 键 词:作物行提取  机器视觉  随机方法  Hough变换

Detection Algorithm of Crop Rows Based on Machine Vision and Randomized Method
Jiang Guoquan,Ke Xing,Du Shangfeng,Chen Jiao.Detection Algorithm of Crop Rows Based on Machine Vision and Randomized Method[J].Transactions of the Chinese Society of Agricultural Machinery,2008,39(11):85-88.
Authors:Jiang Guoquan  Ke Xing  Du Shangfeng  Chen Jiao
Institution:Jiang Guoquan Ke Xing Du Shangfeng Chen Jiao(China Agricultural University,Beijing 100083,China)
Abstract:One way of navigating autonomous vehicles to perform field operations is using a vision of crop rows detection system. A new algorithm for rows recognition was presented based on machine vision and randomized method. During image pre-processing,a vertical projection method was employed to estimate the position of crop rows. Moreover,the randomized method was used for crop rows detecting. A candidate line was determined by two different localization points,which were selected from data space randomly. The th...
Keywords:Crop rows detection  Machine vision  Randomized method  Hough transform  
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