邊緣定位器 的英文怎麼說

中文拼音 [biānyuándìngwèiqì]
邊緣定位器 英文
edge positioner
  • 邊 : 邊Ⅰ名詞1 （幾何圖形上夾成角的直線或圍成多邊形的線段） side; section 2 （邊緣） edge; margin; oute...
  • 緣 : Ⅰ名詞1 （緣故） reason 2 （緣分） predestined relationship 3 （邊） edge; fringe; brink Ⅱ動詞（攀...
  • 定 : Ⅰ形容詞1 （平靜; 穩定） calm; stable 2 （已經確定的; 不改變的） fixed; settled; established Ⅱ動詞...
  • 位 : Ⅰ名詞1 （所在或所佔的地方） place; location 2 （職位; 地位） position; post; status 3 （特指皇帝...
  • 器 : 名詞1. （器具） implement; utensil; ware 2. （器官） organ 3. （度量; 才能） capacity; talent 4. （姓氏） a surname
  • 邊緣 : 1 （沿邊的部分） border; edge; fringe; margin; rim; limb; skirt; verge; brink; periphery 2 （靠近...
  1. Based on perspective model, it was proposed that drawing camera inner parameters with physics method ; in image processing, especially the particularity of robot object localization and tracking, it was proposed that several effective methods of image smoothing and sharpening, edge detection, boundary tracking ; at the same time, in order to complete object recognition, we introduced the methods of drawing object character parameters ; in object image matching, two kinds of effective object matching arithmetic was proposed ; based on the principle of object 3d information restoration, we proposed two kinds of arithmetic of 3d coordinate restoration of object feature points, and completed object movement parameters estimate and object tracking and prediction, and presented experimental result

    以透視成像模型為基礎，提出了用物理方法來提取攝像機內部參數；從圖像處理角度出發，針對機器人目標定位與跟蹤的特殊性，提出了幾種行之有效的圖像平滑、銳化、邊緣提取以及邊界跟蹤的方法；同時，為了完成目標的識別，介紹了目標特徵參數的提取方法；在目標圖像匹配上，提出了兩種快速有效的目標匹配演算法；基於目標深度信息恢復原理，提出兩種目標特徵點三維坐標恢復的方法，同時完成了目標運動參數估計和目標的跟蹤與預報，並最後給出了實驗結果。
  2. In order to better detect the image edge information, firstly, non ? linear median filter technology of characteristic direction was applied to filter out the gauss noise ; secondly, ( 3, 1 ) biorthogonal spline wavelet was used as the primitive wavelet filter, adopting lifting scheme to build the most superior biorthogonal wavelet filter, and applying the superior biorthogonal wavelet to the multiresolution wavelet edge detection ; at the same time, floating threshold was defined and applied to the image edge detection, and the image edge position was located accurately

    在激光探測系統中，微弱的回波圖像淹沒在強背景噪聲中，為更好地檢測這類含噪圖像的邊緣信息，首先應用特徵方向非線性中值濾波技術，濾去高斯噪聲；其次，選擇（ 3 ， 1 ）雙正交樣條小波作為原始小波濾波器，採用提升方案構造最優雙正交小波濾波器，應用構造的雙正交小波進行多尺度小波邊緣檢測；同時，通過定義浮動閾值，並應用於圖像邊緣檢測，較準確地定位了邊緣位置。
  3. In order to better detect the image edge information, firstly, non - linear median filter technology of characteristic direction was applied to filter out the gauss noise ; secondly, ( 3, 1 ) biorthogonal spline wavelet was used as the primitive wavelet filter, adopting lifting scheme to build the most superior biorthogonal wavelet filters and applying the superior biorthogonal wavelet to the multiresolution wavelet edge detection ; at the same time, floating threshold was defined and applied to the image edge detection, and the image edge position was located accurately

    在激光探測系統中，微弱的回波圖像淹沒在強背景噪聲中，為更好地檢測這類含噪圖像的邊緣信息，首先應用特徵方向非線性中值濾波技術，濾去高斯噪聲；其次，選擇（ 3 ， 1 ）雙正交樣條小波作為原始小波濾波器，採用提升方案構造最優雙正交小波濾波器，應用構造的雙正交小波進行多尺度小波邊緣檢測；同時，通過定義浮動閾值，並應用於圖像邊緣檢測，較準確地定位了邊緣位置。
  4. The arithmetic, which aimed at the character of object localization and tracking of robot vision system with one camera and based on characteristic color as object character and applied figure distinguishing arithmetic and object edge detection, completed object localization and tracking by obtaining position feature point coordinate on image plane

    此演算法針對單攝像機機器人視覺系統目標定位與跟蹤的特點，基於特徵顏色為目標特徵，輔以形狀判別演算法和目標邊緣檢測，通過獲取目標物體在圖像中的位置特徵點坐標，來完成對目標物體的定位與跟蹤。
  5. In the manufacture of communication equipment, we shall further raise the proportion of homemade products in the newly added fixed switching devices ( 99 % ) ; we shall lay emphasis on the science research for development of equipment of mobile communication and optical communication equipment and try to raise the proportion of independent intellectual property rights so as to make homemade equipment take the leading position in the domestic market and let the market proportion of newly installed equipment exceed 50 % and 30 % ( for the trunk network ) respectively ; we shall basically let the low - end equipment and border equipment of the data communication network be homemade products, and quicken our steps in nationalization of the core equipment ( the backbone atm switchboard and the high - bit routing device ) on the basis of introduction, digestion and assimilation of foreign advanced technology

    對于通信設備製造業，將進一步擴大新增固定交換設備國產化的比例（ 99 % ） ；將重點加強移動通信和光通信設備的科研開發力度，努力擴大自主知識產權的比例，使國產化設備在國內市場中佔主導地位，新增設備市場佔有率分別超過50 %和30 % （骨幹網）以上；基本實現數據通信網路低端設備和邊緣設備國產化，在引進、消化、吸收國外先進技術的基礎上，加快骨幹核心設備（骨幹atm交換機、高比特路由器）的國產化步伐。
  6. Self - location of an agricultural robot based on cropland edges

    基於農田景物邊緣的農業機器人自定位方法
  7. Detail specification for multi - contact edge socket electrical connectors - single or double sided, open ended, guide key location, replaceable contacts, through - board solder or wire wrap terminations - full assessment level

    多觸點邊緣插座插接器詳細規范.單面或雙面開式端導鍵定位可替換觸點穿板焊接或線繞終端.全面評估級
  8. The system includes the computer imitation of the optimal design of optic imaging, and the technique of compensation and influence on the visional information arising from the movement of robot ; accurate description and effective arithmetic on the 3 - dimention model construction, camera calibration, recognition, registration, location, tracing of underwater objects are studied, by using the video information from the image grabber

    本課題來源於智能水下機器人技術中的「水下機器人信息處理和理解技術」項目的基礎研究課題。主要內容是通過水下攝像機和圖像採集卡，得到的視頻信息，來研究水下物體的邊緣提取、攝像機標定、定位演算法的研究。
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