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牛肉嫩度的高光谱法检测技术

, PP. 135-138

Keywords: 牛肉嫩度,高光谱图像,多元线性回归,正则判别法

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Abstract:

为实现对牛肉嫩度的预测和分级,构建了试验用高光谱检测系统,在400~1000nm波长范围内获取牛肉表面的高光谱散射图像。从高光谱图像中提取牛肉的反射光谱曲线,用step-wise逐步回归法选择430、496、510、725、760和828nm6个波长建立了多元线性回归模型,用全交叉验证法验证模型的预测效果,模型的预测相关系数为0.96,预测标准差为0.64kg。以嫩度6.0kg为界将样本分为嫩牛肉和粗糙牛肉2类,特征波长处反射值为变量,建立了正则判别函数对牛肉嫩度分级,用全交叉验证法验证训练的效果。嫩牛肉分级准确率为83.3%,较粗糙牛肉分级准确率为90.9%,总的分级准确率为870%。研究表明该预测和分级技术具有一定的可行性。

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