舌形模 的英文怎麼說
中文拼音 [shéxíngmó]
舌形模
英文
spider die-
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
本文針對不同的舌象，確定了不同的舌病理區域，提出了相應的舌子圖像選取方法，明確了紋理特徵的研究對象;針對不同的舌象，比較了多種紋理特徵提取方法，確立了每種舌象的最佳紋理特徵，較準確的分類了各類舌象，為證候和疾病的自動化診斷做好了準備;建立了基於紋理特徵的證候診斷模型，應用該模型，較準確的診斷了虛實證候和表裡證候;此外，基於專家知識，本文融合了舌圖像的紋理、顏色和形狀信息對部分疾病的自動診斷進行了研究並取得了較好的結果。The numerical simulation validates that the flow tongue of jet is helpful to dissipate the energy of water. it also proves the effect of dissipating energy is better
模擬計算證明了入流水舌有利於能量的消耗，山從川（淪卜驗證了錐形閥消力池消耗能量效果好的特點。This dissertation thus aims at helping the development of computerized tongue diagnosis and researching on the methodology of color training and classification of tongue images. the main contributions of this dissertation include : designing the framework of pixel - based tongue color classification system ; proposing the 2 - stage fcm algorithm and solving the tongue color model construction problem in pixel - based tongue color classification system ; proposing the dynamically local knn algorithm for tongue substance and tongue coating color classification, and improving the system speed greatly ; proposing the 12 - dimension feature vector of color ratio and applying it to color classification of tongue image ; doing research on the automatic diagnosis of diseases and symptoms using color, texture and shape information
本文的主要貢獻在於:設計了基於像素的舌顏色分類系統結構;提出了半監督學習方式的「二次fcm演算法」 ，解決了基於像素的舌顏色分類系統的舌色苔色分佈模型的建立問題;提出了「動態局部knn演算法」並將其應用於舌色苔色分類中，解決了舌色苔色分類的速度問題;提出了舌圖像的「 12維顏色比例特徵向量」 ，並應用其實現了對舌圖像的顏色分類;採用顏色、紋理和舌形的信息融合方式，對疾病和證候的自動診斷進行了研究。
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