苹果硬度品质的光谱图像检测技术研究  

Study on Non-destructive Apple Firmness Assay with Spectral Imaging

作　　者：刘木华[1] 赵杰文[2] 程仁发[1] 

机构地区：[1]江西农业大学工学院,江西南昌330045 [2]江苏大学食品与生物工程学院,江苏镇江212013

出　　处：《食品科学》2008年第3期418-422,共5页Food Science

基　　金：国家自然科学基金项目(30460059)

摘　　要：应用光谱图像技术进行了苹果内部品质无损检测技术的研究。通过采集不同波长(分别为632、650、670、780、850、900nm)的光谱图像,对所采集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)函数的拟合,通过比较发现洛伦茨分布为最优灰度分布拟合函数。将苹果硬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,相关系数分别是最佳单波长R为0.706;最佳双波长0.837;最佳三波长R为0.869;最佳四波长R为0.880。结果表明:利用光谱图像技术无损检测苹果硬度等内部品质是可行性的,为应用计算机图像对水果进行内部品质的无损检测提供了技术依据。The internal qualifies of apple were detected with spectral imaging in this study. The spectral imaging in wavelength of 632, 650, 670, 780, 850 and 900 nm were respectively captured. The functions of 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 be the best function for fitting gray distribution of imaging. The multi-linear regression model related with lorentzian parameters to fruit firmness were developed with best single wavelength, double wavelengths, three wavelengths and four wavelengths respectively. The best model with respect to four wavelengths was able to predict apple firmness with r=0.880. Results showed that the multi-spectral scattering imaging provides a nondestructive means for measuring apple firmness, and is a fast and easy method to perform.

关 键 词：光谱图像 硬度 苹果 多元线性回归 

分 类 号：O434.13[机械工程—光学工程] TN911.73[理学—光学]