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基于雙目視覺的樹木圖像測距方法
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Measurement Method of Depth Information of Tree Images Based on Binocular Vision
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    研究了雙目視覺技術在智能對靶噴霧中的應用；試驗中運用平行光軸的攝像機采集圖像，通過尋找樹木圖像中特征點的方式將兩幅圖像進行匹配，解決相似性問題；再計算出目標樹木到攝像頭的距離及其誤差，試驗的平均偏差率在8%以內(nèi)；運用該方法能達到智能噴霧中控制施藥量的目的，提高精確智能對靶施藥效率。

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    A binocular vision technology was used in intelligence on the targeting sprayer. Parallel axis camera captured images was used in the experiments, and through the mode of finding feature points in tree images to match the two images to solve comparability problems. Then the distance and its error between camera and the object trees were calculated. The average error was maintained within the range of 8%. Applying this method can make the intelligent pesticide target spraying so as to improve the efficiency.

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胡天翔,鄭加強,周宏平.基于雙目視覺的樹木圖像測距方法[J].農(nóng)業(yè)機械學報,2010,41(11):158-162. Measurement Method of Depth Information of Tree Images Based on Binocular Vision[J]. Transactions of the Chinese Society for Agricultural Machinery,2010,41(11):158-162.

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