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自然場景下樹上柑橘實(shí)時(shí)識(shí)別技術(shù)
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國家自然科學(xué)基金資助項(xiàng)目（30771243）和國家“863”高技術(shù)研究發(fā)展計(jì)劃資助項(xiàng)目（2006AA10Z263）


Real-time Recognition of Citrus on Trees in Natural Scene
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    摘要:

    采用G—B色差分量,，通過Otsu自適應(yīng)閾值分割算法分割成熟柑橘圖像,，采用基于距離變換的分水嶺分割將遮擋,、重疊柑橘逐個(gè)分開,，利用凸包算法修復(fù)遮擋區(qū)域，設(shè)定圓度閾值去除誤分割區(qū)域,，然后提取柑橘輪廓，并運(yùn)用基于Tukey權(quán)重函數(shù)的最小二乘圓擬合特征圓，提取了柑橘的中心坐標(biāo)及半徑,。對(duì)87幅圖像中592個(gè)柑橘進(jìn)行了識(shí)別試驗(yàn)，總體識(shí)別率達(dá)87.2%,，遮擋或重疊柑橘識(shí)別率均超過80%,。

    Abstract:

    Using the gray image of color difference G-B, Otsu algorithm was employed to segment the images of mature citrus and background. Then the occluded fruits and overlapped fruits were separated by watersheds method with distance transform. Convex hull algorithm was used to repair the occluded regions. Roundness threshold was set to remove the error segmented regions. After the citrus contours were extracted, the contours was fitted by means of the least-squares circle fit with Tukey weight function, and the centroid coordinates and radius were gained. The recognition results of 592 fruits in 87 images showed that the total correct recognition rate is up to 87.2%, and the correct recognition rate of occluded citrus and overlapped citrus are more than 80%. 

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呂強(qiáng),蔡健榮,趙杰文,王鋒,湯明杰.自然場景下樹上柑橘實(shí)時(shí)識(shí)別技術(shù)[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2010,41(2):185-188,170. Lü Qiang, Cai Jianrong, Zhao Jiewen, Wang Feng, Tang Mingjie. Real-time Recognition of Citrus on Trees in Natural Scene[J]. Transactions of the Chinese Society for Agricultural Machinery,2010,41(2):185-188,170.

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