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基于3-D圖像的植物虧水脅迫萎蔫體態(tài)辨識方法
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國家自然科學基金資助項目 (30871454、30671715);中德科學中心資助的中德聯(lián)合研究小組項目(GZ494);中國農業(yè)大學基本科研業(yè)務費專項資金項目(15059201)


Identification of Plant Morphology Wilt-induced by Water Stress with 3-D Based Image
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    摘要:

    萎蔫現象是植物虧水脅迫環(huán)境下表現出的一種生命特征,。為了定量辨識植株的萎蔫體態(tài),,在應用激光掃描裝置快速獲取植株3-D圖像基礎上,定義了4種萎蔫指數,,即葉面卷曲統(tǒng)計指數,、葉片形心的高斯曲率、基于形心切平面的葉尖投影以及葉片邊緣投影求和平均,。實驗方法將葉片萎蔫程度分為5個等級水平(LS1~LS5),,通過逐一檢驗每種定義的萎蔫指數是否具有單調性得出可應用性結論。實驗結果表明距離投影算法滿足萎蔫指數的單調要求,,尤其是葉片邊緣投影求和平均萎蔫指數具有更好的魯棒性,。

    Abstract:

    To identify the wilted plant morphology, based on the 3-D images obtained from a laser-scanner, four types of wilt-index were defined, including statistical index of wilt-induced leaf (SIWL), Gaussian curvature at the physical center of leave, projecting distance from leaf-tip or leaf-edge to a referenced plane being tangent at the physical center of leaf. For the experimental methodology, the wilted-leaf statuses were divided into five levels, which were used for verifying whether each defined index had monotone property from earlier to serious degree of wilt status. The experimental results demonstrated that the indices in terms of the projecting distance method could meet the requirement for this purpose. In particular, the index relating the leaf-edge to the referenced plane could provide more robust results. 

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張慧娟,趙燕東,孫宇瑞,王聰穎,蔡祥,Schulze Lammers P.基于3-D圖像的植物虧水脅迫萎蔫體態(tài)辨識方法[J].農業(yè)機械學報,2011,42(1):154-158. Zhang Huijuan, Zhao Yandong, Sun Yurui, Wang Congying, Cai Xiang, Schulze Lammers P. Identification of Plant Morphology Wilt-induced by Water Stress with 3-D Based Image[J]. Transactions of the Chinese Society for Agricultural Machinery,2011,42(1):154-158.

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