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田間棗樹(shù)葉片復(fù)雜目標(biāo)圖像綜合分割方法
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“十一五”國(guó)家科技支撐計(jì)劃資助項(xiàng)目 (2007BAD36B01—04)


Complex Target Image of Field Jujube Leaf Segmentation Based on Integrated Technology
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    摘要:

    設(shè)計(jì)了一種復(fù)雜圖像分割的綜合算法,。首先對(duì)圖像進(jìn)行預(yù)處理,，鎖定大致目標(biāo)范圍,，對(duì)圖像進(jìn)行增強(qiáng),，再基于閾值分割和Canny算子對(duì)圖像進(jìn)行初步分割,。然后結(jié)合形態(tài)學(xué)處理方法及各種邏輯運(yùn)算對(duì)分割結(jié)果進(jìn)行優(yōu)化處理,，得到精確完整的目標(biāo)圖像,。以田間棗樹(shù)葉片圖像為例進(jìn)行實(shí)驗(yàn),，證明了該算法的可行性和有效性,。該算法對(duì)葉片重疊,、葉片灰度不均勻等復(fù)雜圖像都有很好的分割效果，獲得了邊緣清晰,、平滑,、定位精確的邊緣圖像。

    Abstract:

    To segment the complex target image, an algorithm based on integrated technology was proposed. First, the image was preprocessed to find the target area and have the image enhanced. Second, the target area was segmented by threshold and Canny operator, some raw results were acquired. Finally, in order to get the precise and complete target image, the optimizing process of the algorithm was made with morphological methods and logical calculation. Experimental results of field jujube leaf image showed that this algorithm was feasible and effective. This algorithm had a great advantage in complex leaf image which contains overlap leaves and uneven gray scale. The clear, smooth, precise edge image could be obtained.

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董金勇,王建侖,李道亮,何建磊,王永彬.田間棗樹(shù)葉片復(fù)雜目標(biāo)圖像綜合分割方法[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2011,42(1):165-170. Dong Jinyong, Wang Jianlun, Li Daoliang, He Jianlei, Wang Yongbin. Complex Target Image of Field Jujube Leaf Segmentation Based on Integrated Technology[J]. Transactions of the Chinese Society for Agricultural Machinery,2011,42(1):165-170.

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