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人工智能農(nóng)產(chǎn)品微生物指標(biāo)快速檢測(cè)
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國(guó)家自然科學(xué)基金資助項(xiàng)目(51105167);地面仿生教育部重點(diǎn)實(shí)驗(yàn)室開放基金資助項(xiàng)目(K201207A)


Rapid Detection of Microorganisms Indicators for Agricultural Products
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    摘要:

    為了適應(yīng)農(nóng)產(chǎn)品現(xiàn)場(chǎng)對(duì)微生物指標(biāo)快速檢測(cè)的需求,,基于計(jì)算機(jī)視覺技術(shù)和串口通信技術(shù)設(shè)計(jì)了一套智能化程度較高的快速檢測(cè)系統(tǒng),。該系統(tǒng)能夠?qū)崿F(xiàn)的功能有:系統(tǒng)自動(dòng)聚焦,、自動(dòng)采集圖像,、分析和處理圖像,、輸出和打印檢測(cè)結(jié)果等,。系統(tǒng)采用基于數(shù)字圖像處理的自動(dòng)聚焦新技術(shù),,針對(duì)農(nóng)產(chǎn)品中常見的污染微生物染色圖像的特點(diǎn),,將調(diào)焦過程分為粗調(diào)焦和精調(diào)焦,以提高自動(dòng)聚焦效率,,經(jīng)測(cè)試系統(tǒng)平均聚焦時(shí)間為10.2s,。采用該系統(tǒng)對(duì)農(nóng)產(chǎn)品樣品進(jìn)行檢測(cè)可得到接近于實(shí)時(shí)的檢測(cè)結(jié)果(檢測(cè)時(shí)間小于1h),而且操作簡(jiǎn)單,、自動(dòng)化程度高,、對(duì)檢測(cè)人員的知識(shí)水平要求不高。

    Abstract:

    In order to meet the demand of rapid detection of microorganisms indicators for agricultural products in safety onsite monitoring, an automatic rapid detection system was developed based on computer vision and serial-communication technology. The realized functions of the proposed system included, automatic capture of the images, auto-focus of the system, analysis and processing of images, output the detection results, etc. The system adopted an auto-focus technology based on digital image processing. According to the characteristics of staining images of microorganisms in the agricultural products, rough focusing method combined with accurate focusing method were used to improve the auto-focus efficiency. The average auto-focus time of the system was 10.2s. By using this detection system, the close to real-time detection results could be obtained (detection time was less than 1h). Moreover, the system had advantages of easy operation and high automation.

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丁筠,殷涌光.人工智能農(nóng)產(chǎn)品微生物指標(biāo)快速檢測(cè)[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2013,44(Supp1):182-188. Ding Yun, Yin Yongguang. Rapid Detection of Microorganisms Indicators for Agricultural Products[J]. Transactions of the Chinese Society for Agricultural Machinery,2013,44(Supp1):182-188.

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  • 在線發(fā)布日期: 2013-10-22
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