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脐橙糖度光谱图像检测技术研究
引用本文:刘木华,程仁发,林怀蔚,周小梅.脐橙糖度光谱图像检测技术研究[J].江西农业大学学报,2007,29(3):443-448.
作者姓名:刘木华  程仁发  林怀蔚  周小梅
作者单位:江西农业大学,工学院,江西,南昌,330045
摘    要:对采集到的不同波长的光谱图像灰度分布进行洛伦茨分布(LD)、高斯分布(GD)、指数分布(ED)函数拟合,通过比较发现洛伦茨分布为最优灰度分布拟合函数.将脐橙的糖度与洛伦茨分布函数拟合所得参数分别进行多元线性回归,建立最佳单波长、最佳双波长组合、最佳三波长组合和最佳四波长组合的校正方程.结果表明:利用光谱图像技术无损检测脐橙糖度是可行性的.

关 键 词:脐橙  光谱图像  糖度  多元线性回归  脐橙  糖度  光谱图像  图像检测  技术研究  Imaging  Navel  Orange  Sugar  Content  Measurement  无损检测  图像技术  利用  结果  校正方程  波长组合  单波长  最佳  多元线性回归  参数  拟合函数
文章编号:1000-2286(2007)03-0443-06
收稿时间:2007-01-02
修稿时间:2007-01-022007-03-08

A Study on Non-destructive Measurement of Sugar Content in Navel Orange Using Spectral Imaging
LIU Mu-hua,CHENG Ren-fa,LIN Huai-wei,ZHOU Xiao-mei.A Study on Non-destructive Measurement of Sugar Content in Navel Orange Using Spectral Imaging[J].Acta Agriculturae Universitis Jiangxiensis,2007,29(3):443-448.
Authors:LIU Mu-hua  CHENG Ren-fa  LIN Huai-wei  ZHOU Xiao-mei
Institution:College of Engineering,JAU, Nanehang 330045, China
Abstract:The sugar content in navel orange was detected by using spectral imaging.The spectral images in wavelength of 632 nm,650 nm,670 nm,780 nm,850 nm and 900 nm were captured.The Lorentzian distribution(LD),Gaussian distribution(GD) and Exponential distribution(ED) with three parameters were used to fit scattering profiles for all wavelengths.LD was found to have the best function for fitting gray distribution of imaging.The multi-linear regression model relating Lorentzian parameters to sugar content was development by using the best single wavelength,double wavelengths,three wavelengths and four wavelengths.The best model with four wavelengths was able to predict navel orange sugar content with r=0.863.The results show that the multispectral scattering imaging is nondestructive,fast and easy to implement,and it can provide a nondestructive means for measuring fruit sugar content.
Keywords:navel orange  spectral imaging  sugar content  multi - linear regression
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