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溫室環(huán)境下黃瓜采摘機(jī)器人信息獲取
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for Cucumber Harvesting Robot in Greenhouse
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    研究基于近紅外圖像的黃瓜果實(shí)與莖葉的信息表達(dá)方法,,有效實(shí)現(xiàn)了近色系生物信息的圖像識(shí)別,。分析了黃瓜采摘深度圖像信息的特點(diǎn),,通過建立基于灰度相關(guān)與極線幾何相結(jié)合的匹配策略實(shí)現(xiàn)了雙目視覺下的黃瓜抓取點(diǎn)的立體匹配和三維重建,。研究溫室環(huán)境下不同時(shí)間光照強(qiáng)度變化特點(diǎn),建立了光照分析模型,,提高了不同光照條件下的導(dǎo)航線提取的適應(yīng)性,。試驗(yàn)表明機(jī)器人視覺系統(tǒng)能有效識(shí)別、定位果實(shí)的空間位置,,定位誤差控制在±

    Abstract:

    5 mm以內(nèi),。By analyzing characteristic information of depth image for robotic fruit-picking, a combinatorial optimization matching algorithm based on epipolar geometry and gray correlation constraints was discussed, to improve target precision with convergent binocular stereovision system. Furthermore, a light analysis model was established by comparing the influence of illumination intensity variation on the navigation detection under different time scale, which was beneficial to the processes of robotic autonomous navigation. The experimental results showed that the visual system can detect the target of cucumbers with the positioning error in a ±5 mm range.

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袁挺,李偉,譚豫之,楊慶華,高峰,任永新.溫室環(huán)境下黃瓜采摘機(jī)器人信息獲取[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2009,40(10):151-155. for Cucumber Harvesting Robot in Greenhouse[J]. Transactions of the Chinese Society for Agricultural Machinery,2009,40(10):151-155.

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