کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7128547 | 1461593 | 2018 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Multispectral imaging for predicting sugar content of 'Fuji' apples
ترجمه فارسی عنوان
تصویربرداری چند ضلعی برای پیش بینی محتوای قند سیب فوجی
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کلمات کلیدی
تصویربرداری چند بعدی، انتخاب طول موج، تابع پاسخ دوربین، هیستوگرام تصویر، تابع لورنتسی،
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی برق و الکترونیک
چکیده انگلیسی
This research investigated a usage of multispectral imaging to predict sugar content of 'Fuji' apples. A visible/near-infrared spectroscopy (350-1200â¯nm) was used to select optimal wavelengths for the multispectral imaging system. The spectral data were analyzed using the backward interval partial least square to generate a subset composed of several most sensitive wavebands. Four optimal wavelengths (461â¯nm, 469â¯nm, 947â¯nm and 1049â¯nm) were determined from this subset using stepwise multiple linear regression. A multispectral imaging system was developed based on these effective wavelengths. The scattering areas of the multispectral images were extracted by using the image histogram and the camera response function. The scattering profiles were calculated from the scattering areas by radial averaging. The modified Lorentzian distribution function was used to fit the scattering profiles. The parameters of the Lorentzian functions were used as the data base of multiple linear regression to create the prediction model. The multiple linear regression model predicted sugar content with râ¯=â¯0.8861 and RMSE (root-mean-square-error of calibration)â¯=â¯0.8738° Brix.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Optics & Laser Technology - Volume 106, October 2018, Pages 280-285
Journal: Optics & Laser Technology - Volume 106, October 2018, Pages 280-285
نویسندگان
Chunxiao Tang, Hayi He, Enbang Li, Hongqiang Li,