骨架結構圖 的英文怎麼說

中文拼音 [gǔjiàjiēgòutú]
骨架結構圖 英文
skeleton structure diagram
  • 骨 : 骨名詞1 （骨頭） bone2 （物體內部的支架） framework; skeleton 3 （品質; 氣概） character; spirit ...
  • 架 : Ⅰ名詞1 （用來放置東西或支撐物體等的東西; 架子） frame; rack; shelf; stand 2 （毆打; 爭吵） fight;...
  • 結 : 結動詞（長出果實或種子） bear （fruit）; form （seed）
  • 構 : Ⅰ動詞1 （構造; 組合） construct; form; compose 2 （結成） fabricate; make up 3 （建造; 架屋） bui...
  • 圖 : Ⅰ名詞1 （繪畫表現出的形象; 圖畫） picture; chart; drawing; map 2 （計劃） plan; scheme; attempt 3...
  • 骨架 : 1. （骨頭架子） skeleton2. （在物體內部支撐的架子） framework; frame; carcase; carcass; armature; bone; scaffolding
  • 構圖 : [美術] composition of a picture
  1. However geological information is fully recorded in the remote sensing image, which made it possible for the choosing of this area as a dissection point to extract complex structural information of orogenic belt in west china. taking fully advantage of multi - band image richly bearing concealed geological information in combination with remote sensing analysis and structure analysis, to anatomy the supracrustal composition and structure of orogenic belt with the regional linear structures and their partitioned block and schistous geological masses as the macro - frame ( in corresponding to structure units and structure segments ) and with the rock masses, structure - rock assemblages, line - featured and belt - featured structures as well as penetrative and non - penetrative foliation ( primary stratum and trans position layering ) and folds as the texture and structure elements. the methods of how to distinguish granulite > ductile - shear zone, imposed fold, different deformed belts -

    因而，本文選擇這一地區作為我國西部地區從遙感圖像上提取造山帶復雜結構構造信息的解剖區，充分利用遙感圖像多波段反映物質屬性的特點和圖像處理提取隱含信息的優勢，採用遙感解析?構造解析相結合的研究方法，以區域線狀構造及由它劃分的塊狀、片狀地質體為宏觀骨架（對應于構造解析劃分的構造單元、構造均勻區段） ，以地質體中的巖石巖體、構造巖石組合，線狀、帶狀構造，透入性、非透入性面狀（原始層理、新生面理）和褶皺等構造作為用於解析的結構構造要素，進行造山帶表殼組成和結構構造解析研究。
  2. 4. triangular diagram of the sandstone clastic compositions and the relationship diagram of major element suggest that the proto basin of the clastic rock of the yanbian group was a forearc basin, which was in an active continental margin

    鹽邊群碎屑巖碎屑骨架顆粒統計分析結果和砂巖常量元素構造環境判斷圖解顯示，它們所處的構造環境為活動大陸邊緣，初步判定它們的原型盆地為弧前盆地。
  3. Visual analysis of human motion has been receiving increasing attention from researchers in the fields of image processing and computer vision during the past few years. it has a lot of applications in virtual reality, smart surveillance system, advanced user interface, motion analysis and video compressing, etc. this paper focuses on the technology of human motion tracking based on video, first, we make a summarization of the domestic and overseas status of the research in this field. on the basis of this, we analyse the technical difficulties of human motion tracking. as most of the existing model - based methods of human motion tracking perform not so good in some situation as they need mannual intervention, and also the precision of tracking is not so satisfying during the research of tracking of walking people because of the self - occlusion of legs, this paper proposes an algorithm of automatic detection and tracking of legs of the walking people based on monocular image sequences, in which we analyse the features of walking people, track the five joints of lower limbs, get various parameters, and then re - construct the walking process. the main research achievement is as follows : 1 ) we propose an algorithm of markerless automatic extraction of leg skeleton. first we divide the video into continuous image sequences, after background subtraction, the satisfying human region could be extracted, then we get a single - connected region by converting the rgb image to binary image and median filtering. afterwards, the contour of lower limbs in the frame with a widest boundingbox is detected, using sobel operator, to find the ankle joint of leg behind according to the features and rules of walking, then, the joint of knee of leg behind, hip, ankle of leg in front, knee of leg in front could be got in turn. so, model of leg skeleton is constructed

    首先將視頻分解成許多連續的靜態圖像幀，經過背景去除，把感興趣的人體區域提取出來，通過二值化，中值濾波等預處理方法得到只有人體的一個單連通區域，然後用sobel運算元檢測出boundingbox最寬幀中人體下半身的輪廓，根據運動規律及特徵找到後腿踝關節點，結合從boundingbox最窄幀中所獲取的腿長依次得到後腿膝關節，跨部關節，前腿踝關節，前腿膝關節四點，從而構建出腿部骨架模型。 2 ）實現了人體步行腿部骨架的跟蹤演算法。在完成對腿部骨架模型的自動初始化之後，本文對跨關節、膝關節及踝關節分別採用運動建模、圓周相交定點演算法、運動預測及預測點周圍搜索rgb相似矩形塊三種方法確定每一幀中其實際坐標，從而重構出腿部骨架的運動過程。
  4. In character recognition, we proposed a concept of " rough skeleton ", and developed a technique of skeleton extractin g based on non - thinning process of characters via three steps : character discomposed based component, local skeleton extraction and global skeleton connection

    根據骨架特徵，利用的圖論的理論與方法，我們提出了一種提取包括筆劃特徵與筆劃結構特徵的字元識別特徵的提取技術。
  5. The paper, in the way of math morphology, manages to classify the linear elements, the same type but different width in the scanning, and result in the two - valued linear image in the same level. in the fine division of the target image, a way of math morphology based on the double structure of cell stencil is put forward, which prevents the terminals and the acnodes from losing and also reduces effectively time in doing so. as the result of the framework of the fine division, vector method is formed in which its track is monitored by using dynamic change of pace about freeman ' s chain code

    本文用數學形態學相關理論方法實現了對掃描圖像中具有同一線型但不同線寬的線狀要素進行分類，在同一層上得到同一線寬的二值線狀要素圖；在對此目標圖像進行細化時，提出了基於雙結構單元模板的數學形態學細化演算法，用該演算法對實際的線狀要素進行細化，避免了端點、孤立點等信息的丟失，且由於是并行處理，有效地提高細化速度；對于細化后的骨架線，提出了基於freeman鏈碼的動態改變步長保持精度跟蹤矢量化方法。
  6. This method first decomposes the skeleton into its meaningful component ( such as branch and loop ) set, then vectorizes each components to simple structure elements ( such as straight line segments and circles ) and finally arrange them into an attributed relation graph

    該演算法首先將骨架分解為它的有意義分量（如分支和環）集，然後將各分量矢量化為簡單的結構基元（如直線段和圓） ，最後將它們組織到一個屬性關系圖之中。
  7. Based on research of the fringe method, the midline method, the depth restrict method, and so on, the paper puts forwards new method of contour extracting - - the gray barycenter based on edge ( gbbe ). contour extracting is kernel problem of slim

    論文在分析了邊緣法、中線法、基於骨架的灰度重心法、深度約束法等輪廓提取方法的基礎上，對結構光圖像法的核心問題一一光帶輪廓提取，提出了一種新的光帶提取方法? ?基於邊緣的灰度重心法。
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