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基于圖像和光譜信息融合的病蟲(chóng)害葉片檢測(cè)系統(tǒng)
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國(guó)家自然科學(xué)基金資助項(xiàng)目（31071319）;中央高?；究蒲袠I(yè)務(wù)費(fèi)專項(xiàng)資金資助項(xiàng)目（XDJK2010C048）


Insect Pest Leaf Detection System Based on Information Fusion of Image and Spectrum
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    摘要:

    運(yùn)用圖像和近紅外光譜技術(shù),，基于VC++和Matlab語(yǔ)言,，設(shè)計(jì)了與PC硬件和Windows XP,、Windows 2000軟件環(huán)境兼容,、基于圖像和光譜信息融合的病蟲(chóng)害葉片檢測(cè)系統(tǒng),。闡述了該系統(tǒng)的工作原理,、工作過(guò)程,、硬件組成及軟件功能,。該系統(tǒng)可實(shí)現(xiàn)病蟲(chóng)害葉片圖像,、光譜數(shù)據(jù)的自動(dòng)采集、數(shù)據(jù)的預(yù)處理,、病蟲(chóng)害危害程度的預(yù)測(cè)與檢測(cè)結(jié)果的顯示,。將該系統(tǒng)用于病蟲(chóng)害葉片危害程度的檢測(cè)結(jié)果表明，檢測(cè)的精度,、可靠性高,，可用于病蟲(chóng)害葉片危害程度的無(wú)損檢測(cè)。

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    In order to find out an automatic monitoring method of plant insect pests, non-destructive detection software system with compatibility of PC hardware, Windows XP and Windows 2000 software environment was developed based on the information fusion of image and spectrum, which was programmed by VC++ and Matlab language. Working principal and process of the system, hardware composition and software system were introduced. The system could collect image and spectral data automatically, process data, predict the damaged degrees (DD) and display the detection results. Finally, the system was used to detect the DD of leaves. The detection results from the experiment showed that the proposed system could be used for non-invasive detection of DD of leaves with high accuracy and reliability．

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謝春燕,吳達(dá)科,王朝勇,李巖.基于圖像和光譜信息融合的病蟲(chóng)害葉片檢測(cè)系統(tǒng)[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2013,44(Supp1):269-272. Xie Chunyan, Wu Dake, Wang Chaoyong, Li Yan. Insect Pest Leaf Detection System Based on Information Fusion of Image and Spectrum[J]. Transactions of the Chinese Society for Agricultural Machinery,2013,44(Supp1):269-272.

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  • 在線發(fā)布日期: 2013-10-22
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