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基于計(jì)算機(jī)視覺的儲(chǔ)糧活蟲檢測系統(tǒng)硬件設(shè)計(jì)
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國家自然科學(xué)基金資助項(xiàng)目(31101085,、30871449)、河南省教育廳自然科學(xué)研究計(jì)劃資助項(xiàng)目(2011B210028)、河南省高等學(xué)校青年骨干教師計(jì)劃資助項(xiàng)目(2011GGJS-094)和華北水利水電學(xué)院高層次人才科研啟動(dòng)項(xiàng)目(201118)


Hardware Design of Detection System for Stored-grain Live Insects Based on Computer Vision
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    摘要:

    設(shè)計(jì)了基于可見光-近紅外計(jì)算機(jī)視覺的儲(chǔ)糧活蟲檢測系統(tǒng),該系統(tǒng)主要由糧蟲自動(dòng)分離子系統(tǒng)、糧蟲傳輸子系統(tǒng),、光照箱、圖像采集子系統(tǒng)4部分組成。糧蟲自動(dòng)分離子系統(tǒng)可從糧食樣本中快速,、有效地分離出糧蟲,并進(jìn)行自動(dòng)除塵,;糧蟲傳輸子系統(tǒng)可準(zhǔn)確接收篩下物,,并輸送采集盒到圖像視覺采集部分的正下方以供圖像采集;光照箱可為采集盒中的篩下物提供均勻的可見光-近紅外波段的漫反射光,;圖像采集子系統(tǒng)可同時(shí)采集篩下物的近紅外圖像和可見光圖像,。系統(tǒng)對危害嚴(yán)重的9類儲(chǔ)糧活蟲的篩分率達(dá)到96.06%,。實(shí)驗(yàn)驗(yàn)證了該系統(tǒng)的可行性。

    Abstract:

    The detection system for stored-grain live insects was developed based on visible-near infrared computer vision. The system included an automatic sieving subsystem of insects, an automatic transporting subsystem of insects, an illumination box and an image acquisition subsystem. The insects could be rapidly and efficiently separated from the grain sample, and removed dust automatically in the automatic sieving subsystem of insects. The automatic transporting subsystem of insects could accurately receive the sieve material, and transport the collection box to the image vision acquisition part for image acquisition. The even illumination chamber could provide even visible and near-infrared diffuse light for the sieve material in the collection box. The image acquisition subsystem could simultaneously acquire the visual image and the near infrared image of the sieve material. The sieving accuracy of the detection system was 96.06% for the nine species of the most destructive live insects. The experiment showed that the system was practical and feasible.

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張紅濤,胡玉霞,毛罕平,韓綠化,烏慧玲.基于計(jì)算機(jī)視覺的儲(chǔ)糧活蟲檢測系統(tǒng)硬件設(shè)計(jì)[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2012,43(4):193-196,167. Zhang Hongtao, Hu Yuxia, Mao Hanping, Han Lühua, Wu Huiling. Hardware Design of Detection System for Stored-grain Live Insects Based on Computer Vision[J]. Transactions of the Chinese Society for Agricultural Machinery,2012,43(4):193-196,167.

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  • 在線發(fā)布日期: 2012-04-18
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