摘要
应用光谱图像技术进行了油桃硬度品质无损检测技术的研究。通过采集不同波长(分别为632nm、650nm、670nm、780nm、850nm和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。将油桃的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0.801;最佳双波长R为0.899;最佳三波长R为0.903;最佳四波长R为0.940。试验表明:利用光谱图像技术无损检测油桃硬度是可行的,为利用计算机图像对水果进行内部品质的无损检测提供技术依据。
The Firmness qualities of nectarine were detected using spectral imaging in this paper.The spectral imaging in wavelength of 632nm、650nm、670nm、780nm、850nm and 900nm were captured.The Lorentzian distribution (LD),Gaussian distribution(GD) and Exponential distribution(ED) with three parameters were used to fit scattering profiles for the above wavelengths.LD was found to be the best function for fitting gray distribution of imaging.The multi-linear regression model relating Lorentzian parameters to nectarine firmness was developed to build corrected equations using best single wavelength,double wavelengths,three wavelengths and four wavelengths.The best model with four wavelengths was able to predict nectarine firmness with r=0.94.Results show that the multi-spectral scattering imaging is nondestructive,fast and easy,and it can provide a nondestructive means for measuring nectarine firmness quality.
出处
《安徽农学通报》
2007年第4期42-43,109,共3页
Anhui Agricultural Science Bulletin
基金
国家自然科学基金资助项目(编号30460059)
江苏省自然科学基金重点资助项目(批准号:BK2006707-1)
关键词
光谱图像
硬度
油桃
多元线性回归
Spectral imaging
Firmness
Nectarine
Multi-linear regression
Measuring
作者简介
刘木华(1969-),男,江西农业大学工学院,博士,教授.
