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采摘機器人振蕩果實動態(tài)識別
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國家高技術(shù)研究發(fā)展計劃(863計劃)資助項目(2006AA10Z254);高等學(xué)校博士學(xué)科點專項科研基金資助項目(20093227120013);江蘇高校優(yōu)勢學(xué)科建設(shè)工程資助項目;江蘇省普通高校研究生科研創(chuàng)新計劃資助項目(CXZZ11_0573)


Dynamic Recognition of Oscillating Fruit for Harvesting Robot
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    摘要:

    提出一種采摘機器人在果實振蕩狀況下的動態(tài)識別方法,,解決由于果實振蕩影響采摘機器人識別定位時間,,進而影響采摘速度和效率的問題。首先對所采集的振蕩果實圖像進行圖像分割,將其分為果實和背景兩部分,;其次引入幀間差分法,、水平最小外接矩形法等對分割圖像進行振蕩果實動態(tài)區(qū)域的區(qū)域標(biāo)識,,然后對其振蕩果實進行識別,,當(dāng)圖像中有多個振蕩果實時,,以距離圖像中心最近原則確定采摘振蕩目標(biāo)果實,。試驗結(jié)果表明對實際采摘環(huán)境下遇到的多數(shù)情況,所提算法都能很好地識別出振蕩果實,,識別時間少于0.5s,。

    Abstract:

    A kind of dynamic recognition method under the fruit oscillation condition for the harvesting robot was researched in order to resolve the problem of fruit oscillation influence to its recognition and orientation, and further influence to the harvest efficiency of harvesting robot. Firstly, the acquired oscillation fruit was segmented into two parts: fruit image and background image; secondly, the inter-frame difference method and the minimum enclosing rectangle method in horizontal direction were introduced to label dynamic region of the oscillation fruit for the segmented image; thirdly, the oscillation fruit was identified and located. The harvesting oscillation fruit was selected based on the principle of the nearest to the image center when the image had a lot of oscillation fruits. The test result showed that the oscillating fruit was nicely recognized and the recognition time was less than 0.5s for the most cases under the actual harvesting environment.

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呂繼東,趙德安,姬偉,陳玉,沈惠良,張穎.采摘機器人振蕩果實動態(tài)識別[J].農(nóng)業(yè)機械學(xué)報,2012,43(5):173-178,196. Lü Jidong, Zhao Dean, Ji Wei, Chen Yu, Shen Huiliang, Zhang Ying. Dynamic Recognition of Oscillating Fruit for Harvesting Robot[J]. Transactions of the Chinese Society for Agricultural Machinery,2012,43(5):173-178,196.

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  • 在線發(fā)布日期: 2012-06-07
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