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融合光譜與圖像信息的河套蜜瓜糖度在線檢測(cè)試驗(yàn)系統(tǒng)
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國(guó)家自然科學(xué)基金資助項(xiàng)目(31160248)和“十二五”國(guó)家科技支撐計(jì)劃資助項(xiàng)目(2015BAD19B03)


On-line Detection Testing System of Sugar Content for Hetao Melon Based on Spectra and Image Information
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    摘要:

    針對(duì)蜜瓜糖度在線檢測(cè)的需求,設(shè)計(jì)了融合漫透射光譜與圖像信息的河套蜜瓜糖度在線檢測(cè)試驗(yàn)系統(tǒng),該系統(tǒng)包括硬件平臺(tái)和軟件系統(tǒng)兩部分。硬件平臺(tái)主要包括蜜瓜輸送裝置、光譜采集裝置、圖像采集裝置和控制系統(tǒng)4部分。軟件系統(tǒng)基于Microsoft Visual C++6.0語(yǔ)言,結(jié)合Omni Driver軟件、FlyCapture2及OpenCV軟件開(kāi)發(fā)。系統(tǒng)可實(shí)現(xiàn)蜜瓜光譜與圖像信息的自動(dòng)采集、顯示及保存,可實(shí)現(xiàn)對(duì)漫透射光譜預(yù)處理,獲取糖度檢測(cè)所需光譜數(shù)據(jù),對(duì)圖像預(yù)處理,提取蜜瓜外觀特征圖像信息(R、G、B顏色值和蜜瓜體積)。在此基礎(chǔ)上,系統(tǒng)可通過(guò)融合漫透射光譜與圖像信息的蜜瓜糖度檢測(cè)模型,計(jì)算蜜瓜糖度。系統(tǒng)同時(shí)可實(shí)現(xiàn)檢測(cè)個(gè)數(shù)統(tǒng)計(jì),外觀特征信息及糖度的實(shí)時(shí)顯示、保存等功能。測(cè)試試驗(yàn)表明,該試驗(yàn)系統(tǒng)檢測(cè)1個(gè)樣品用時(shí)1.2s,糖度檢測(cè)均方根誤差為1.22,可滿足河套蜜瓜糖度在線檢測(cè)試驗(yàn)需求,為進(jìn)一步開(kāi)展河套蜜瓜糖度在線檢測(cè)研究奠定了基礎(chǔ)。

    Abstract:

    Real-time detection of sugar content plays a crucial role in the estimation of Hetao melon quality. To reduce the effect of size on the diffuse transmittance spectra, an on-line detection testing system based on diffuse transmittance spectra and image information was designed for the evaluation of sugar content of melon. Two main parts (hardware and software) were involved in this device. The hardware includes delivery device, spectrum detection device, image capture device and control system. The software system was designed based on Microsoft Visual C ++ 6.0 language and combined with the software of Omni Driver, FlyCapture2 and OpenCV. With the proposed system, firstly, the spectrum and images of melon were automatically obtained, displayed and saved. Secondly, the sensitive spectrum, color (R, G, B) and volume value of melon were derived by processing spectra and image information. Finally, the sugar content of melon was obtained according to the model of diffuse transmission spectrum and image information fusion. In conclusion, this device could automatically calculate the amount of melon, timely display and save the color value, volume value and sugar content of melon in computer, and detect a sample within 1.2s with root mean square errors of 1.22 for sugar content. The proposed system was showed to be a promising tool for implementing on-line detection of Hetao melon sugar content.

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高 雄,劉 宇,田海清,陳亞莉,韓寶生,李 哲.融合光譜與圖像信息的河套蜜瓜糖度在線檢測(cè)試驗(yàn)系統(tǒng)[J].農(nóng)業(yè)機(jī)械學(xué)報(bào),2015,46(11):245-251. Gao Xiong, Liu Yu, Tian Haiqing, Chen Yali, Han Baosheng, Li Zhe. On-line Detection Testing System of Sugar Content for Hetao Melon Based on Spectra and Image Information[J]. Transactions of the Chinese Society for Agricultural Machinery,2015,46(11):245-251.

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  • 收稿日期:2014-12-04
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  • 在線發(fā)布日期: 2015-11-10
  • 出版日期: 2015-11-10
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