An assessment method of tongue image quality based on random forest in traditional chinese medicine

Abstract

In the study and practice of the tongue characterization, experienced doctors found that a large number of the tongue images collected by tongue image instrument don’t meet the clinical requirement, which will directly affects the final result of tongue image analysis. In this paper, the automatic quality evaluation of tongue image is designed for the first time through the following steps. First, the original tongue images are processed. Second, statistics of local normalized luminance based on natural scene statistics (NSS) model, color, geometric and texture features of tongue images are extracted respectively. Finally, the Random Forest classifier is used to classify. Experimental results show that the method we proposed can get a better evaluation of tongue image quality. This approach can provide reliably reference data for assisted tongue image analysis.