基于图像处理的中医舌像特征分析方法

Feature analysis method of tongue image by chinese medical diagnosis based on image processing

提出一种基于图像处理的舌像检测与分析方法,将传统中医舌诊中舌的特征进行数字化。应用了2DGabor小波变换和色度信息较为精确地检测出舌体区域;提出了运用统计方法标定舌质和舌苔点以及确定其颜色的算法。舌苔的厚度通过色度信息和2DGabor小波系数能量(GWTE)进行量化。分析了在不同相位时,有无舌纹情况下GWTE呈现出的不同特性,根据这一特点用不变矩描述了舌区域的GWTE,从而对舌纹的多少做出了定性的说明。实验表明,提出的相关算法行之有效,得到了较好的结果。

A method of computerized tongue image analysis based on image processing for the purpose of digitizing the tongue properties in traditional chinese medical diagnosis is presented. The chromatic information and 2D Gabor wavelet transformation are applied to segment tongue from original image. The statistics method is used to identify the colors of each pixel, which belongs to the tongue substance and coating respectively. Thickness of tongue coating is determined by 2D Gabor wavelet transform coefficient energy (GWTE). The distribution of GWTE and invariant moment algorithm are used to judge the tongue venation. The experiment result shows that methods proposed are effective.