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基于凹點(diǎn)搜索的重疊果實(shí)定位檢測算法研究
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國家高技術(shù)研究發(fā)展計(jì)劃(863計(jì)劃)資助項(xiàng)目(2006AA10Z259)


Detection and Location Algorithm for Overlapped Fruits Based on Concave Spots Searching
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    摘要:

    為了能夠快速準(zhǔn)確地計(jì)算出生長狀態(tài)為靠攏或重疊的成熟類圓果實(shí)的形心坐標(biāo)和半徑,,提出了一種基于凹點(diǎn)搜索的快速定位和檢測重疊果實(shí)目標(biāo)的方法。利用色調(diào)分量的統(tǒng)計(jì)規(guī)律實(shí)現(xiàn)背景分離,采用鏈碼跟蹤法獲得單像素果實(shí)輪廓,,并按步長獲取邊緣特征點(diǎn),;然后利用N點(diǎn)方向編碼差獲取邊緣凹點(diǎn),確定凹點(diǎn)群,根據(jù)閾值確定分割凹點(diǎn),;最后利用改進(jìn)的Hough變換計(jì)算出多個(gè)重疊桃子的形心坐標(biāo)和半徑,。研究結(jié)果表明,本文算法速度快,,果實(shí)正確識(shí)別率最高可達(dá)90.0%,,形心和半徑誤差均小于7%。

    Abstract:

    In order to calculate centric coordinates and radius of quasicircular ripe fruits whose growing state was approached or overlapped, a kind of fast location and detection method for fruits object based on concave spots searching was proposed. After the object was segmented from background with hue according to statistical law, the freeman chain code algorithm was used to extract onepixel fruit contour, from which the edge character points were abstracted. Then the edge concave spots which were found by direction coding difference of N points were divided into several concave spot groups, and the segmentation concave spots were located by the threshold. At last, the centric coordinates and radius of several overlapped peaches were calculated based on optimized circular Hough transform. The research results showed that the proposed method had rapid speed, the highest obtainable right recognition rate was 90.0%, and the error rate of centric points and radius was below 7%. 

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謝忠紅,姬長英,郭小清,朱淑鑫.基于凹點(diǎn)搜索的重疊果實(shí)定位檢測算法研究[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2011,42(12):191-196. Xie Zhonghong,Ji Changying,Guo Xiaoqing,Zhu Shuxin. Detection and Location Algorithm for Overlapped Fruits Based on Concave Spots Searching[J]. Transactions of the Chinese Society for Agricultural Machinery,2011,42(12):191-196.

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  • 在線發(fā)布日期: 2011-12-19
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