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基于機器視覺的田間雜草定位技術(shù)
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of Field Weed Based on Machine Vision
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    摘要:

    采用攝像機弱透視模型，對采集的標定靶圖像進行處理，獲取48個靶點質(zhì)心的像素坐標，利用DLT的最小二乘法獲取攝像機隱參數(shù)矩陣。室內(nèi)土槽的有序雜草和無序雜草定位試驗表明，利用建立的攝像機隱參數(shù)矩陣，有序雜草和無序雜草的質(zhì)心定位誤差分別為19.2mm和22.8mm，可以滿足除草劑精確噴施的要求。

    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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尹建軍,沈?qū)殗?陳樹人.基于機器視覺的田間雜草定位技術(shù)[J].農(nóng)業(yè)機械學報,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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