中文摘要：

目的在中医舌诊客观化研究实践中，现有舌象仪所采集的大量舌图像不符合临床诊察要求，这将直接影响到舌象分析的最终结果。本文主要是对舌图像质量评价进行研究，为临床上图像的准确挑选提供帮助。方法首先分析中医诊断学中望舌的标准，提取基于自然场景统计的特征、纹理、颜色和几何特征，然后通过支持向量机（support vector machines，SVM）进行分类，并通过分类准确率验证此方法能否为临床上图像的准确挑选提供帮助。结果提取的舌象特征可以较好地完成对舌图像质量的评价，并且能准确挑选出临床上能使用的舌图像。结论中医舌图像的质量评价具有可行性，这一方法将有望应用在新一代的舌象采集装置中，为中医舌图像辅助分析提供高质量的参考数据。

英文摘要：

Objective In the study and practice of the tongue characterization of traditional Chinese medicine, experienced doctors find that a large number of the tongue images collected by tongue image instrument cannot meet the clinical requirement, which directly affects the final result of tongue image analysis. This paper focuses on the research about tongue image quality assessment to provide help for the accurate selection of image in clinic. Methods We analyze the requirements of tongue inspection, statistics of local normalized luminance based on natural scene statistics model, texture, color and geometric features of tongue images are extracted respectively,and then support vector machine （SVM） is used for classification. By using the classification accuracy, we verify whether this method can provide help for the accurate selection of image in clinic. Results Through the extracted feature of tongue image, we get a better evaluation of tongue image quality and can accurately select the tongue images used in clinic. Conclusions Experimental results show the feasibility of quality assessment for tongue image. This approach is expected to be applied in the new generation of tongue image analysis instrument,providing high-quality reference data for assisted tongue imageanalysis.