基于机器视觉的田间杂草定位技术
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of Field Weed Based on Machine Vision
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    摘要:

    采用摄像机弱透视模型,对采集的标定靶图像进行处理,获取48个靶点质心的像素坐标,利用DLT的最小二乘法获取摄像机隐参数矩阵。室内土槽的有序杂草和无序杂草定位试验表明,利用建立的摄像机隐参数矩阵,有序杂草和无序杂草的质心定位误差分别为19.2mm和22.8mm,可以满足除草剂精确喷施的要求。

    Abstract:

    Weak perspective model of camera was adopted. First of all, image of calibration target was captured to obtain pixel coordinates of 48 target centroids. Then hidden parameters matrix of camera was calculated by using least square based on DLT. Location tests of ordered and disordered weeds in indoor soil trough showed that positioning errors of ordered and disordered weeds were 19.2mm and 22.8mm respectively by using established hidden parameters matrix of camera. The positioning accuracy could meet the requirement of precise spraying of herbicide. 

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尹建军,沈宝国,陈树人.基于机器视觉的田间杂草定位技术[J].农业机械学报,2010,41(6):163-166. of Field Weed Based on Machine Vision[J]. Transactions of the Chinese Society for Agricultural Machinery,2010,41(6):163-166

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