矢量標識 的英文怎麼說

中文拼音 [shǐliángbiāozhì]
矢量標識 英文
vector identification
  • 矢 : Ⅰ名詞1. （箭） arrow 2. （尿） excrement; dung; feces 3. （姓氏） a surname Ⅱ動詞（發誓） vow; swear
  • 量 : 量動1. （度量） measure 2. （估量） estimate; size up
  • 標 : Ⅰ名詞1 [書面語] （樹梢） treetop; the tip of a tree2 （枝節或表面） symptom; outside appearance; ...
  • 識 : 識Ⅰ動詞[書面語] （記） remember; commit to memory Ⅱ名詞1. [書面語] （記號） mark; sign 2. （姓氏） a surname
  • 標識 : [物理學] characteristic; identification; identifying標識碼 identification code; 標識位置 home position
  1. Vectorization, i. e. raster - to - vector conversion, is the process of analyzing the scanned image of an engineering drawing in paper form and recognizing the graphic objects in the drawing, and finally, generating the vector format file

    工程圖矢量化是將紙介質工程圖紙掃描輸入計算機后，對所得的掃描圖像加以分析、識別，最終重建其中的目標對象的過程。
  2. The dot product of a pseudovector and a vector is called a pseudoscalar.

    一個贗矢量和一個矢量的標識稱為贗標量。
  3. Three propositions are proposed based the vector base network. cognition of human being and vector base cognition model are compared, the corresponding connection is created. 7 ) the application for rubber mixing process is given : abnormal modeling samples first removed, svm is applied to build the discharge model to establish the rubber discharge condition, and long term practical production validated the discharge modeling method ; adopting dynamic rkrls and rsvm, mooney time serials is used to model and predict, which shows better prediction ability than rls ; using v

    7 ）將本文演算法在橡膠工業的密煉過程得到實際的應用:在排除異常樣本點的情況下，利用5vm的工業特性，進行排膠點的建模，獲得好的應用效果:利用動態的rkrls和rsvm演算法，通過對橡膠棍煉質量的門尼指標進行建模和預測分析，表明演算法具有較好的跟蹤預測性能;利用矢量基學習網路對密煉過程的門尼進行辨識建模和預報，獲得了較好的效果，從而實現了更好的門尼波動的控制。
  4. At first the paper begin to study the foundation of digital curved face and space meshing principle, introduce the basic knowledge of curve theory and curved face theory, explain the mathematical tools of vector turning and coordinate conversion in the paper ; analyse the motion and relative motion of rigid body, provide the condition of gear driving continuous contact and equation of conjugate meshing

    論文首先從參數化曲面和空間嚙合原理基礎出發，介紹了曲線論和曲面論的基本知識，對課題研究重的數學工具矢量回轉和坐標變換進行了說明;分析了剛體的運動和相對運動，根據空間嚙合原理給出了輪齒傳動連續接觸的條件和共軛條件方程。
  5. Dealing with faces illumination variation based on dynamic directional gradient vector flow snake and gamma algorithm a new dynamic directional gradient vector flow snake ddgvf snake algorithm was presented which can detect the image shadow and highlight contours of the unknown face images. according to the given standard face database, the image gray median could be c.

    使用一種動態方向梯度矢量流snake ddgvf snake演算法來檢測未知圖像的陰影和高光區域，根據已知的標準人臉圖像庫中圖像的灰度分佈，計算出灰度中值，然後採用加權非線性gamma灰度矯正演算法來歸一化待識別圖像的光照變化，使之與已知的標準庫中的圖像灰度一致。
  6. In paper, reaching the aim, firstly, we have researched thorough about symbol recognition and theory understanding relative theory and technology, and basing on those theory and technology, we adopt the based global characteristic symbol recognition and engineering drawing understanding algorithm which can automatic convert the vectorgraph which doesn ’ t include the relative physical information into the vectorgraph which includes the relative physical information. secondly, researching about the 2d computer animation technology and combine the cbt system, we have presented the new path animation model which include the union path description, animation pattern and time - velocity and time ? distance parts

    為達到上述目標，本文首先對目前圖形符號識別技術進行系統的、較深入的分析，結合民航飛機原理圖特點採用基於全局特徵的符號識別演算法對原理圖進行符號處理，並以此為基礎改進了基於圖的方法和全局知識的語義分析方法相結合的原理圖理解演算法，可將無序的矢量圖轉化成高層的知識表示，為動畫製作提供素材，為后續的電路完整性檢測及動畫自動播放提供相應的知識支持。
  7. In this algorithm, the system makes geometry and grey standardize on the images located, then extracts the features base on the kl transformation, at last matches them with the feature samples in sample library and output the most suitable image. the recognition rate is about 78 % he mingzhong ( application of computer science ) directed by prof. wang lingquang

    在人臉的自動識別演算法中，本系統對定位后的人臉圖像做了幾何標準化和灰度標準化操作，採用kl變換進行降維處理，提取出人臉圖像矢量，與樣本庫中的特徵樣本進行匹配，選取最為匹配的人臉圖像作為輸出。
  8. On the basis of summarizing the common principle and method of selection of system structure and setting function and means of implementation, we research mainly on such subjects as follows : firstly, we studied the implementation of text extraction and digital signature by cad secondary development technology combine with database technique. secondly, based on method for pre - processing scanning images of drawings, finally, the application of artificial neural network in engineering drawing sign character recognition was researched. in this thesis, we presented the building model and implementation method has some references to the designing work of similar system

    在論述系統結構選取、功能構建以及實現技術的一般原理和方法的基礎上，進行了以下幾個方面的研究：首先研究了cad二次開發技術同數據庫技術相結合實現系統圖紙文本信息西安理工大學碩士學位論文提取和電子會簽功能，然後研究了掃描圖紙的圖像處理技術，為圖紙的矢量化和智能識別提供圖形表達準確、圖形要素和字元要素分離的數據源，最後研究了人} _神經網路技術在} _程圖紙標識字元識別中的應用。
  9. Underwater target recognition based on fractal feature vector

    基於分形特徵矢量的水下目標識別
  10. In essence it takes the decision profile and decision template as target ' s feature vector and template respectively, and adopts template matching method to target recognition

    該方法實質上是將目標的決策分布圖作為特徵矢量，將其和每類目標的決策模板進行匹配以實現融合識別。
  11. Deep base - hole engineering is put number one among the new technologies practiced and used later by constructive department in 1998. features including amount of hard word, high - level technology, and more unpredictable factors note it. the safety and reliability on it not only affects the construction, but also have an impact on the surroundings. therefore, in order to defend the reliability, reasonability, and economy of the construction, we must thoroughly know about it, really put the theory togther with the practice of construction, purposely deal well with the series among design, construction, and inspection

    深基坑工程具有工程量大、技術難度高、不可預見的因素多等特點，其安全可靠性不僅影響工程本身，而且往往會影響周邊環境。日前，基坑工程正向大深度、大面積方向發展，有的基坑長度和寬度均已超過100m 。因此，對深基坑工程應有一個系統的認識，要切實將理論與工程實踐相結合，有的放矢地處理好設計、施工及監測方面的各個環節的問題，實現信息化施工，以保證基坑工程的安全、質量和進度等各項目標的實現，將工程風險降至最低。
  12. Now there are two basic target recognition strategies, such as processing from bottom to top, which is called data - driving method, and processing from top to bottom, which is called knowledge - driving method. the former begins with low layer processing for example, general segmentation, label and feature extraction, then judges whether the feature vector extracted from the labeled area is in accordance with the feature vector of the object model. the latter firstly brings forward a hypothesis on probably existed feature, secondly proceeds with purposeful segmentation, label and feature extraction, lastly judges whether the feature vector extracted from the labeled area is in accordance with the feature vector of the object model

    目標識別在工農業生產、國防建設中具有極其重要的地位，目前目標識別的演算法常用的有兩種，一種是由下而上的數據驅動型策略，即不管目標屬於何種類型，一律先對原圖像進行一股性的分割、標記和特徵抽取等低層次處理，然後將每個帶標記的已分割區域的特徵矢量與目標模型相匹配；另一種是由上而下的知識驅動型策略，即先對圖像中可能存在的特徵提出假設，根據假設進行有目的地分割、標記和特徵抽取，在此基礎上與目標模型進行精確匹配。
  13. In the process of comparison, it is found that the new vector used by this paper is suited to be taken as statistic feature of sar area objects. artificial neural network ( ann ) is always used in image classing. this thesis used bp network, rbf network and sofm network to analyze sar area objects, with gray level, average and wavelet analysis based features as the inputs

    人工神經網路是模式識別的重要工具，本文分別採用bp神經網路、徑向基函數（ rbf ）神經網路、自組織特徵映射神經網路對sar圖像面目標進行了分析，選用灰度值、均值、小波紋理特徵等不同的特徵作為輸入矢量，得到了高的分類精度。
分享友人
分享到 Line

分享到臉書