摘要
针对目前中医齿痕舌诊断缺乏客观化和量化指标的问题,提出齿痕舌多指标客观化判别检测方法,以实现辅助中医临床对齿痕舌的综合性检测。首先对所采集到的舌象图片提取感兴趣的齿痕区域,并进行区域二值化预处理;然后使用Graham扫描法提取齿痕凹陷特征并通过支持向量机算法对齿痕有无进行分类判别;对于齿痕数量,通过改进的道格拉斯-普克算法拟合齿痕边缘曲线,将曲线满足条件的极小值个数作为齿痕个数;最后结合齿痕数量与齿痕深度对齿痕程度进行判别。该算法对齿痕有无的判别正确率为80.86%,对齿痕数量的检测正确率为80.00%,对齿痕程度的检测正确率为89.63%。实验结果表明,该算法能较好地实现齿痕舌的综合检测,并提供相应客观化参数辅助中医临床诊疗。
Objectified and quantified indicators in the diagnosis of toothmarked tongue in traditional Chinese medicine(TCM)are lacking.Thus,an algorithm for identifying and detecting multiple objectified indicators of toothmarked tongue was proposed to aid the clinical comprehensive detection of toothmarked tongue in TCM.The regions of interest of the tooth marks were extracted from the obtained tongue image,and a region binarization pretreatment was performed.The Graham scan method was used to extract the characteristics of the tooth marks,and the support vector machine algorithm was used to classify and discriminate the presence or absence of tooth marks.The improved DouglasPeucker algorithm was used to fit the edge curve of the tooth marks,and the minimum number of curves satisfying the conditions was set as the number of tooth marks.Finally,the degree of tooth marks was determined by combining the number and depth of tooth marks.The algorithm has a correct rate of 80.86%in judging the presence or absence of tooth marks,80.00%in detecting the number of tooth marks,and 89.63%in detecting the degree of tooth marks.Experimental results show that the proposed algorithm can realize the comprehensive detection of toothmarked tongue and provide the corresponding objective parameters to assist the clinical diagnosis and treatment of TCM.
作者
杨佳欣
韩东
董新明
唐瑞弦
徐向阳
罗静静
周鹏
Yang Jiaxin;Han Dong;Dong Xinming;Tang Ruixian;Xu Xiangyang;Luo Jingjing;Zhou Peng(Academy of Medical Engineering and Translational Medicine,Tianjin University,Tianjin 300072,China;Linyi Third People’s Hospital,Linyi 276004,Shandong,China;Tianjin Rehabilitation Center,Tianjin 300191,China;School of Precision Instrument and Optoelectronics Engineering,Tianjin University,Tianjin 300072,China;Academy for Engineering and Technology,Fudan University,Shanghai 200043,China;Ji Hua Laboratory,Foshan 528200,Guangdong,China)
出处
《激光与光电子学进展》
CSCD
北大核心
2022年第11期355-363,共9页
Laser & Optoelectronics Progress
基金
国家自然科学基金地区联合项目(U1913216)
广东省重点领域科研计划季华实验室独立资助项目(X190051TB190)
上海市市级重大专项“国际人类表型组季华(一期)”(2017SHZDZX01)。
