Research on Feature Extraction and Analysis of Sublingual Veins in Tongue Diagnosis of Traditional Chinese Medicine

中医舌诊是中医临床进行辨证论治过程中的一个重要步骤。舌下络脉诊断是 通过观察舌下络脉的形色变化来判断人体健康状况的一种古老诊断方法，是中医 舌诊的重要组成部分。利用数字图像处理技术和模式识别技术实现舌下络脉诊断 的客观化，有利于克服传统舌下络脉诊断结果受到中医的主观因素限制和光线、 亮度等客观因素影响的缺点。为了实现舌下络脉诊断自动化首先要研究舌下络脉 特征提取与分析方法。 舌下络脉特征提取和分析的研究主要包括从原始舌下图像样本中分割出舌 背区域，舌下络脉的提取以及舌下络脉特征提取和分析。舌背区域的撷取是为了 排除掉原始图像中非舌质背景，便于舌下络脉的提取。实现从舌背区域中分离...Tongue diagnosis is one of the most important steps in the process of the diagnosis of Traditional Chinese Medicine (TCM). Diagnosis of sublingual vein is an ancient diagnosis method, which can determine the patient’s health by observing shape and color of the veins. Using digital image processing and pattern recognition technology to achieve the objective diagnosis of sublingual vein, which is...学位：工学硕士院系专业：信息科学与技术学院计算机科学系_计算机系统结构学号：2302008115320

3D Visualization of Liver CT Series Image Using Ray-casting Algorithm

肝脏CT图像的三维可视化具有重要的科研价值和实用意义。直接体绘制技术已经成为三维体数据集可视化的一种重要方法。光线投射算法是一种实现原理相对简单且绘制结果精确可靠的体绘制算法,但传统算法绘制速度较慢。综合研究了现有的主要优化技术:感兴趣区域划分、空间跳跃技术及体素分类的快速三线性插值的思想,加速了光线投射算法,实现了对肝CT图像三维重建。The visualization of liver CT series image volume data is important to scientific research and practical use.Direct volume rendering is an important method of 3D volume data visualization.As a volume rendering algorithm, Ray-casting Algorithm is easy to realize and its principle is rather simple.However,the rendering speed of traditional Ray-casting Algorithm is very slow.In this paper,we used three existed accelerating techniques:ROI division,space leaping,and the thesis of fast Tri-Linear interpolation based on voxel classified to accelerate Ray-casting Algorithm,and accomplished the 3d reconstruction of liver CT series image.国家自然科学基金(编号: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(编号:WKJ2005-2-001;WKJ2008-2-41); 福建省青年科技人才项目(编号:2009J05156)~

Research on Automatic Acquisition of the Back of Tongue in Sublingual Veins Diagnosis

舌背区域自动撷取算法是为了获得舌下络脉特征所在的焦点区域,对于舌下络脉诊断自动的实现具有重要意义。采用基于形态学标记的水域分割算法大致确定了舌背所在区域,藉由分析舌背和剩余的背景彩色分量的差异性进行后处理。实验结果表明,该算法所撷取的舌背区域效果良好,健壮性好。此结果为实现后续舌下络脉特征分析奠定了基础。The automatic acquisition of tongue back is important to sublingual veins diagnosis.Using watershed segmentation algorithm based on morphology marker can largely locate the area including the back of tongue.By analyzing color components difference between the back of tongue and rest background can finally extract the back of tongue.Experimental results show that the algorithm works well,good robustness.The results lay the good foundation for follow-up features analysis of sublingual veins.国家自然科学基金(编号: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(编号:WKJ2008-2-41); 福建省青年科技人才创新资助项目(编号:2009J05156)~