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擾動(dòng)柑橘采摘的實(shí)時(shí)識(shí)別與采摘點(diǎn)確定技術(shù)
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國(guó)家自然科學(xué)基金資助項(xiàng)目(31201135)和國(guó)家星火計(jì)劃資助項(xiàng)目(2013GA780043)


Real-time Identification and Picking Point Localization of Disturbance Citrus Picking
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    摘要:

    對(duì)成熟柑橘果實(shí)在擾動(dòng)狀態(tài)下的視覺識(shí)別定位技術(shù)進(jìn)行研究,。利用ANSYS進(jìn)行了擾動(dòng)柑橘的動(dòng)力學(xué)分析,,結(jié)合圖像處理分析結(jié)果,,確定了微擾動(dòng)柑橘的運(yùn)動(dòng)規(guī)律為類單擺運(yùn)動(dòng),;對(duì)采集的微擾動(dòng)柑橘視頻進(jìn)行圖像處理,,設(shè)定規(guī)則選取視頻中的圖像,利用改進(jìn)的K-means聚類分割法結(jié)合優(yōu)化Hough圓擬合方法實(shí)現(xiàn)柑橘果實(shí)的分割,;根據(jù)圖像分割結(jié)果,,對(duì)柑橘的二值圖像進(jìn)行Hough直線擬合,結(jié)合直線斜率在-0.45~0.45的約束條件,,確定擾動(dòng)柑橘的有效采摘點(diǎn),。試驗(yàn)結(jié)果表明該方法能有效地識(shí)別自然環(huán)境中的微擾動(dòng)柑橘,確定擾動(dòng)果實(shí)采摘點(diǎn)的準(zhǔn)確率達(dá)85%,,采摘點(diǎn)確定的處理時(shí)間在7.58~9.24s范圍內(nèi),。

    Abstract:

    The visual identification technology of mature citrus fruits in the condition of disturbance had been studied. Firstly, analyzing disturbed citrus in ANSYS, so as to confirm the law of motion was the simple pendulum movement. Secondly, processing video image of the disturbed citrus,by using the improved K-means clustering method combined with Hough circle transform method to segment fruits. According to the image segmentation result, fitting the binary citrus image using Hough line method. With constraint of straight slope between -0.45~0.45, disturbed citrus’picking positions were determined ultimately. Test results show that this method could identify the disturbed citrus effectively in the natural environment, and the recognition rate of picking position was 85%, with processing time within 7.58s to 9.24s. The study provides the theoretical foundation and technical support for the visual localization of disturbed fruits.

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熊俊濤,鄒湘軍,彭紅星,陳文光,林桂潮.擾動(dòng)柑橘采摘的實(shí)時(shí)識(shí)別與采摘點(diǎn)確定技術(shù)[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2014,45(8):38-43. Xiong Juntao, Zou Xiangjun, Peng Hongxing, Chen Wenguang, Lin Guichao. Real-time Identification and Picking Point Localization of Disturbance Citrus Picking[J]. Transactions of the Chinese Society for Agricultural Machinery,2014,45(8):38-43.

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  • 收稿日期:2014-03-14
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  • 在線發(fā)布日期: 2014-10-10
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