苔類學 的英文怎麼說
中文拼音 [tāilèixué]
苔類學
英文
hepaticology苔類學家 hepaticologist-
The keys to the families, genera and species of hepaticae and anthocerotae in hebei are worked out, and the dissected graphs are pictured. moreover, the chinese name, science name, major reference literatures, collect locations, collector and number of specimen, as well as geographical elements and distribution of every species are narrated explicitly. in the hepaticae - flora of hebei, grimaldiaceae, porellaceae and frullaniuccae arc regarded as dominant, showing obvious temperate - zone character and distinct torrid - zone nature, raising the tropic origion theory of china botany - flora which brought forward by professor z. y. wu
同時，根據標本和資料編制了河北省苔類植物科、屬、種檢索表，詳細記述了每種的中文名、學名、主要參考文獻考證、標本採集地、採集人和標本號，在河北省和中國各省區及世界范圍的地理分佈等，描述了每一種與其相近似種的主要區別點和識別特徵，並根據標本和文獻對其中54種做了顯微繪圖。Bryophyte ecological variation and its ecological criteria in taxonomy
苔鮮植物的生態變異及其分類學中的生態學準則Secondly, aiming at the necessity of pixel - based tongue color classification system, this dissertation proposes a 2 - stage fcm algorithm. it applies the techniques of pattern classification and makes the better automation of tongue color model construction true
其次，針對基於像素的舌顏色分類系統的需要，本文提出了一種「二次fcm演算法」 ，採用半監督學習的方式，較為自動化地解決了舌色苔色分佈模型的建立問題。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。分享友人