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基于雙目視覺(jué)的樹(shù)木圖像測(cè)距方法
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Measurement Method of Depth Information of Tree Images Based on Binocular Vision
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    摘要:

    研究了雙目視覺(jué)技術(shù)在智能對(duì)靶噴霧中的應(yīng)用,；試驗(yàn)中運(yùn)用平行光軸的攝像機(jī)采集圖像,，通過(guò)尋找樹(shù)木圖像中特征點(diǎn)的方式將兩幅圖像進(jìn)行匹配,，解決相似性問(wèn)題；再計(jì)算出目標(biāo)樹(shù)木到攝像頭的距離及其誤差,，試驗(yàn)的平均偏差率在8%以內(nèi),；運(yùn)用該方法能達(dá)到智能?chē)婌F中控制施藥量的目的,，提高精確智能對(duì)靶施藥效率,。

    Abstract:

    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(qiáng),周宏平.基于雙目視覺(jué)的樹(shù)木圖像測(cè)距方法[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),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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