为了消除光谱采集中操作方法对测量带来的干扰， 以及提高仪器灵敏度和增强样本之间的差异性， 将反射率归一化法用于光谱法舌诊数据预处理。 采集被检者舌尖反射光谱， 计算被测对象的反射率和归一化反射率， 比较不同距离采集的同一被测对象反射率和归一化反射率发现， 反射率归一化可以消除不同采集距离对反射光谱造成的影响， 比较不同样本的反射率和归一化反射率曲线以及分类预测模型预测结果， 结果表明反射率归一化法可以增强样本之间的差异性， 增强后续疾病快速筛查模型的稳健性和预测能力。

In order to solve the problem that the collected spectrum was influenced seriously by the operation method, improve the instrument sensitivity and enhance the differences between samples, reflectivity normalization method was used for data preprocessing in the present article. First, the reflect spectrum of tongue was collected, then the reflectivity and the normalized reflectivity of the samples were compared, and it was found that reflectivity normalization method can eliminate the impact brought by the collection from different distance. At the same time, the classification results between the reflectivity and the normalization reflectivity of the different samples were compared, and the results showed that the reflectivity normalization method can enhance differences between the samples and enhance model’s robustness and prediction ability of subsequent disease screening.