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融合光譜與圖像信息的河套蜜瓜糖度在線檢測試驗系統(tǒng)
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國家自然科學基金資助項目(31160248)和“十二五”國家科技支撐計劃資助項目(2015BAD19B03)


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

    針對蜜瓜糖度在線檢測的需求,設計了融合漫透射光譜與圖像信息的河套蜜瓜糖度在線檢測試驗系統(tǒng),該系統(tǒng)包括硬件平臺和軟件系統(tǒng)兩部分,。硬件平臺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語言,結合Omni Driver軟件,、FlyCapture2及OpenCV軟件開發(fā),。系統(tǒng)可實現(xiàn)蜜瓜光譜與圖像信息的自動采集、顯示及保存,,可實現(xiàn)對漫透射光譜預處理,,獲取糖度檢測所需光譜數據,對圖像預處理,,提取蜜瓜外觀特征圖像信息(R、G、B顏色值和蜜瓜體積),。在此基礎上,,系統(tǒng)可通過融合漫透射光譜與圖像信息的蜜瓜糖度檢測模型,計算蜜瓜糖度,。系統(tǒng)同時可實現(xiàn)檢測個數統(tǒng)計,,外觀特征信息及糖度的實時顯示、保存等功能,。測試試驗表明,,該試驗系統(tǒng)檢測1個樣品用時1.2s,糖度檢測均方根誤差為1.22,可滿足河套蜜瓜糖度在線檢測試驗需求,,為進一步開展河套蜜瓜糖度在線檢測研究奠定了基礎,。

    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試驗系統(tǒng)[J].農業(yè)機械學報,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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