摘要
舌诊是中医四诊的主要内容,是辨证论治的主要依据。客观化研究对中医辨证规范化及中医临床、教学和科研手段的现代化具有重要意义。对舌诊客观化研究中涉及的图像预处理的重要内容——舌体分割提取和舌苔舌质同类区域划分——进行了深入研究,提出了相应算法,通过实验充分证明了算法具有很好的鲁棒性。这给进一步的自动特征提取提供了保障和重要信息。
Tongue diagnosis is one of the essential methods of traditional Chinese medical diagnosis. The accuracy of tongue diagnosis can be improved by tongue characterization. Tongue area segmentation and homogeneous regions segmentation in tongue are important contents of preprocess of tongue image. An algorithm based on edge detection and Gradient vector flow (GVF) active contour for tongue area segmentation and another algorithm based on unsupervised segmentation of color-texture for homogeneous regions segmentation in tongue were presented. Totally about 1500 tongue images were collected. Results of tongue area segmentation achieved accuracy rate of 94.3% and results of homogeneous regions segmentation in tongue were approved by traditional Chinese medical experts. The experiments results show robustness of the algorithms. This work establishes solid foundation for feature selecting of Tongue diagnosis.
出处
《生物医学工程学杂志》
EI
CAS
CSCD
北大核心
2005年第6期1128-1133,共6页
Journal of Biomedical Engineering
基金
上海市重点项目"中医四诊客观化研究"
关键词
舌诊客观化
舌体分割
梯度矢量流
舌质舌苔同类区域划分
颜色量化
区域增长
Tongue characterization Tongue area segmentation Gradient vector flow (GVF)Homogeneous regions segmentation in tongue Color quantization Region growing