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農(nóng)田非結(jié)構(gòu)特征視覺(jué)導(dǎo)航研
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Navigation Based on Agricultural Non-structural Characteristic
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    摘要:

    研究了農(nóng)田非結(jié)構(gòu)環(huán)境下,通過(guò)機(jī)器視覺(jué)提取導(dǎo)航線(xiàn)的處理算法。首先,根據(jù)農(nóng)作物的特點(diǎn)提出了使用聚類(lèi)的方法檢測(cè)作業(yè)區(qū)域終點(diǎn);其次,為避免噪聲干擾,利用移動(dòng)窗口檢測(cè)二值圖像白色像素的個(gè)數(shù),確定導(dǎo)航路徑區(qū)域;最后,使用改進(jìn)的Hough變換提取導(dǎo)航線(xiàn)。實(shí)驗(yàn)表明,該算法可以準(zhǔn)確提取綠色植物的行信息,處理一幀分辨率為320×240像素的彩色圖像平均需要57.404ms,正確識(shí)別率達(dá)

    Abstract:

    99%。A navigation algorithm was studied, which as used to extract navigation route by machine vision based on agricultural non-structural characteristic. Firstly, a new algorithm was used to detect the ending region of farmland based on cluster's method. And then moving window was used to examine white pixels of the binary image to definite target regions. Finally, improved Hough transformation was used to extract navigation routes. The experiment proved that this algorithm can accurately extract the column information of green crops. The average time required for processing a 320×240 pixels color image was 57.404ms and the accuracy of the recognition reached 99%.

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曹倩,王庫(kù).農(nóng)田非結(jié)構(gòu)特征視覺(jué)導(dǎo)航研[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2009,40(Z1):187-189. Navigation Based on Agricultural Non-structural Characteristic[J]. Transactions of the Chinese Society for Agricultural Machinery,2009,40(Z1):187-189.

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