Results the secretion of gastric antrum mucosa growth inhibition is significantly more in the cases with sthenia - syndrome than in the cases with asthenia - syndrome and the control group 结果以实证为主的胃脘痛患者血清、胃窦黏膜生长抑素的分泌量显著高于虚证患者及对照组，胃阴不足和脾胃虚窦型则明显下降。
2.
In this dissertation , towards different states of tongue , we define different tongue pathology areas , propose relevant sub - images selection methods and gets research objects ; according different states of tongue , this dissertation compares different ways to extract texture features and classifies states of tongue well using the most appropriate features , making preparation for the auto - diagnosis of symptoms and diseases ; the dissertation sets up a texture - based symptom diagnosis model and diagnoses asthenia and sthenia syndrome and external and internal syndrome more accurately ; moreover , based on expert knowledge , this dissertation uses texture , colors and shape information of tongue images , to survey diagnosis of some diseases . first , the red prickles classification is studied in the dissertation 本文针对不同的舌象,确定了不同的舌病理区域,提出了相应的舌子图像选取方法,明确了纹理特征的研究对象;针对不同的舌象,比较了多种纹理特征提取方法,确立了每种舌象的最佳纹理特征,较准确的分类了各类舌象,为证候和疾病的自动化诊断做好了准备;建立了基于纹理特征的证候诊断模型,应用该模型,较准确的诊断了虚实证候和表里证候;此外,基于专家知识,本文融合了舌图像的纹理、颜色和形状信息对部分疾病的自动诊断进行了研究并取得了较好的结果。
3.
Second , we do research on asthenia syndrome and sthenia syndrome . we first select sub - images from tongue image along the polygonal edge of the tongue , then based on the analysis of the texture properties of the sub - images , gray level co - matrix is used to extract features . the classification precision with theses features is higher 其次,本文研究了舌质苍老与舌质娇嫩的分类,先应用算法在舌边自动选取了子图像作为研究对象,然后应用灰度共生矩阵方法对这些子图像进行了特征提取和分类,取得了不错的结果。
