The Research of Extraction of the Tongue Image’s Feature & Analysis Technology of Healthy Information Based on Traditional Chinese Medicine Inspection

中医认为舌是人体全身脏腑、器官的缩影之一，人体各组织器官的病变均可通过神经、血管和经络反映到舌的不同部位上来，因此中医舌诊对于辨证施治、身体健康具有重要作用。但是传统的舌诊方法依赖于医生直观的定性观察，存在主观人为性强，重复稳定性差的缺点。所以本文采用计算机图像处理、模式识别等方法手段，来对舌象进行分析，模拟中医“望”的过程，实现中医舌诊的现代化、客观化，并达到给出身体健康状况的意见、指导等目的。 论文首先对质苔分离工作做了分析研究。质苔分离结果直接影响到后续舌质颜色、舌苔质地等识别的质量,最终影响所给健康信息的准确性。本文综合运用基于HSV色彩空间的最佳阈值迭代算法和基于彩色特征组合的分割...The tongue is regarded as one of the epitomes of viscera and organ of human body in the TCM. The TCM Tongue Inspection plays important role in diagnosing and treating all kinds of diseases because the symptoms of many illnesses can be reflected in the different parts of the tongue through the nerves system, blood vessels and channels. But the traditional tongue diagnoses methods lack stability in ...学位：工程硕士院系专业：信息科学与技术学院计算机科学系_计算机系统结构学号：2005130230

The Method of Separation of Tongue Coating and Tongue Texture in the Process of Tongue Diagnosis Informatization

应用计算机分析舌像,在舌像信息辅助下推断中医证型的过程中,实现舌质、舌苔区域的自动化分离是前提条件,分离结果直接影响到后续舌质、舌苔颜色分类识别的质量,最终影响证型推断的准确性。在质苔分离实验中采用两种方法,即基于HSV色彩空间的最佳阈值迭代算法和基于彩色特征组合的分割方法,根据两者各自特点,综合叠加运用这两种方法,有效的解决质苔分离问题。The separation of the coating and the texture of the tongue is crucial and prerequisite for the TCM-diagnosing from the information of the tongue which derived from the analysis of the tongue picture with the computer. The qualify of the separation will directly affect the classification and recognition of the color of the tongue coating and tongue texture in the following step, at last, the accuracy of syndrome differentiation. Hence, this article concentrates on analysis of the automatic separation of coating and the texture of the tongue. Two methods are comprehensive applied in the separation,first is Optimal Threshold Iterated Algorithm based on HSV color space, and second is based on the color characteristics.Through comprehensive use of the two methods according to their own characteristics, we achieve the purpose of the perfect separation.国家自然科学基金(编号:60601025);; 卫生部联合基金(编号:WKJ2005-2-001);; 厦门市科技计划(编号:3502Z20055003

效果良好的舌像自动分割算法

为客观、科学地模拟中医舌诊诊断过程,首先需要进行有效的舌像分割。利用舌体在HSV和RGB两个色彩空间中六个色彩分量的特点,设计出锐化公式并利用自适应阈值分割算法思想,从而实现分割目的。由1000多幅不同舌像的分割效果可知,该种算法分割良好,健壮性好。此结果为实现舌体分析奠定了基础。国家自然科学基金(30770561);; 卫生部科学研究基金—福建省卫生教育联合攻关计划资助项目(WKJ2005-2-001);; 厦门市科技计划重点项目编号(3502Z20055003