模板匹配 的英文怎麼說

中文拼音 [móbǎnpīpèi]
模板匹配 英文
template matching
  • 模 : 模名詞1. （模子） mould; pattern; matrix 2. （姓氏） a surname
  • 板 : Ⅰ名詞1 （片狀硬物體） board; plank; plate 2 （專指店鋪的門板） shutter 3 [音樂] （打拍子的樂器） ...
  • 匹 : Ⅰ動詞（比得上; 相當; 相配） be equal to; be a match for Ⅱ形容詞（單獨） lone Ⅲ量詞1. （用於馬、騾等） 2. （用於整卷的綢或布）
  • 配 : Ⅰ動詞1 （兩性結合） join in marriage 2 （使動物交配） mate （animals） 3 （按適當的標準或比例加以...
  • 模板 : [土] formwork; mould; shuttering; follow board; form board; match board; match plate; mother plat...
  • 匹配 : 1. [書面語] （婚姻配合） mate; marry 2. [電學] matching
  1. Studied on floating avoiding method and the memory conflict regulating method to realize the real - time image capture. 2. using four subpixel - locating methods to obtain the center of micro parts, which are template - matching method, core - shape method, centrobaric gray method, and edge - fitting method

    利用模板匹配法、型心法、灰度重心法和邊緣擬合法等四種亞像素定位方法實現了對零件中心位置的檢測；利用圖像旋轉方法，進行了零件旋轉角度定位研究。
  2. This dissertation brings forward and realizes the multilevel classifiable method which is based on characters coding. above all, this method realizes the first - grade classification by extracting enough effective characters from characters and coding them, to the others which coundn " t be recognized by the first - grade classification, the method will adopt the second - grade classification using template matching to recognize these characters

    本文提出並實現了基於特徵編碼的多級分類識別方法，通過給字元抽取足夠多的有效的特徵並給特徵編碼實現第一級分類，對于第一級分類后仍不能區分的字元，再進入第二級分類用模板匹配的方法最終達到區分的目的，這種方法的重點在第一級分類階段。
  3. It can save the information near lips, which may be deleted by the method based on two points. ( 2 ) based on the analysis of current methods, a new multi - pose facial feature location algorithm is developed, which is based on the analysis of multi - feature and integral projection, the combination of an iterative search with a confidence function and template matching. the algorithm not only improves the location accuracy, but also speeds up a great deal. ( 3 ) based on the analysis of the advantages and disadvantages of current feature extraction methods, an adaptive facial feature selection criterion is developed, which is based on facial local feature protrusion consisting of several aspects, such as face image resolution and image quality

    其後研究了人臉特徵提取，一、討論了適合於多姿態人臉識別的基於三點仿射變換的人臉圖像歸一化方法，以克服基於兩點仿射變換會引起較大圖像信息損失的缺陷；二、在分析現有器官定位演算法的基礎上，提出了新多姿態人臉器官特徵定位技術，將多特徵和直方圖分析、基於置信度函數的迭代搜索和模板匹配相結合，既提高了器官定位精度，又提高了定位速度。
  4. In chapter iv, a new method of eyes location is provided. it detects the edg of human face image with wavelet transform in the first. then it begins to statistic the gray value of the row and list

    本文第四章提出了一種基於簡單背景的人眼定位演算法，用小波變換對人臉圖像進行邊緣檢測，對得到的結果進行行列統計，得到人臉的大致位置，再用模板匹配進行最後的精確定位。
  5. The method of deformable template matching based on genetic algorithms to auto - gridding is adopted in the paper

    本文採用遺傳演算法為基礎的變形模板匹配方法來完成基因晶元圖像的自動網格定位。
  6. In order to satisfy the new requirement of the police on arresting criminals by on - line information, we took deep research in the recognition of human ' s frontal face, and did lots of experiments in the period of automatic face locating and feature extracting. in this dissertation we proposed a new adaptable two - step face locating algorithm, which combined hbel algorithm and ellipse - model matching algorithm, and men we use eigen - region analysis ( era ) to extract feature

    本文以公安系統的網上追逃為研究背景，著重對人臉正面圖像的靜態匹配做了深入探討，在人臉自動定位和人臉特徵提取方面做了大量的實驗與工作，並獨創性地提出了自適應的二級人臉定位演算法（ hbel演算法+橢圓模板匹配演算法） ，使用基於特徵區域的分析來提取人臉特徵進行識別。
  7. The main work completed in the paper is listed as following : 1. image function acquisition -, 2. read bmp files by dib format ; 3. drawing gray scale histogram ; 4. choose a optimum threshold and make gray image become binary image -, s. find image ' s contour points by making inner points become empty and apply template matching on the contour points ; 6. transform the object ' s beginning points ( pixel point ) to the ones in the image coordinate and the positions of in the corresponding three dimensions ; 7. compute the position vector and the normal vector of the object

    選擇一個最佳闋值，把灰度圖像進行二值化處理； 5用掏空內部點法，找到圖像的輪廓點，然後在輪廓點上進行模板匹配； 6把輸出的目標物開始點（像素點）轉化成圖像坐標系中的點和對應的三維空間的坐標位置； 7計算目標物的位置矢量和法向矢量，根據機器人抓取面的法向矢量，找到機器人要抓取的平面； 8
  8. The author has a theory analysis on registration and its limitations, and then provides two schemes, one is manual registration and the other is automatic registration. in the automatic registration, the template registration is selected to deliver the automatic global registration. and the similarity measurement is based on the histogram " entropy of differences - based measures which makes the registration to be robust and efficient for real - time digital subtraction

    所以此時需要對剪影圖象中的造影片和蒙片進行配準，本文首先進行了配準的理論分析並且提出配準的局限性，進而實現了兩類配準，一類為人工配準，另一類為自動配準，在自動配準中主要採用了模板匹配法進行整體配準。
  9. The advantages of this method were that the measurement results were n ' t affected by flow regime and the speed was faster than the conventional voidage measurement method by reconstructed ect image

    按三種流型建立模板庫，通過先進行流型的分類，再進行模板匹配的方法，減少了三分之二的運算量，大大加快了計算速度。
  10. ( 3 ) based on ect sensor and pattern recognition theory, a new method was proposed for voidage measurement of gas - liquid two - phase flow. one of three template databases was selected by flow regime classification. the voidage was obtained by template matching with euclid distance measure

    （ 3 ）基於ect傳感器，結合模式識別理論，提出了一種新型的氣液兩相流空隙率測量方法，利用歐氏距離測度對一組測量值進行模板匹配，從而得到該組測量值所對應的空隙率值。
  11. The algorithm distinguishes the face from background through performing smoothing, binary and edge detection on the original images. and then detect the sphere and possible location of face through integration projection, at last realizes the precise location of the face within the sphere

    本演算法對人臉做平滑、二值化、等預處理后，使人臉與背景部分分離開來，然後利用積分投影法預測人臉可能的范圍與位置，在限定的范圍內採用模板匹配的方法定位人臉，從而實現了快速、可靠的人臉定位。
  12. In chapter five, gained proper matching template taking advantage of edge image and mapped two sequential images basing on image transform and template matching and found moving objects

    第五章利用前一章運算得到的邊緣圖像，選取出適當的匹配模板，綜合利用中文荷要坐標空間變換和模板匹配法配準圖像，檢測出運動目標。
  13. To the complete character use the image which representation by matrix, making the subtraction between the matrix of capture image and the matrix of template, the result matrix which absolute sum of its all elements is the smallest is the recognition result. to the incomplete character, using two lines of 0 ~ 9 as template, then carry on the recognition using the template matching. to the scale division recognition, using the central position of it, distinguishes the long scale division expression is merely 0 perhaps 5

    對完整字元，採用將圖像用矩陣表示，利用獲取圖像的矩陣與識別模板的矩陣做減法，結果矩陣的所有元素絕對值和最小的即為識別結果;對不完整字元，針對電度表讀數的具體特點，採用將兩行0 ~ 9的字元圖像排列起來作為模板，利用模板匹配法進行識別;對于刻度的識別，利用刻度的中心坐標位置，僅僅識別長刻度表示的是0或是5即可。
  14. Nlidb is thespecificapplicationofnaturallanguageprocessingtechniqueindatabasefield. the traditional methods of nli designing include pattern - matching, syntax analysis, semantic grammar, and intermediate representation languages

    自然語言介面設計的傳統方法包括模板匹配、句法分析、語義語法和中間表述語言等。
  15. Also an algorithm which combines both model matching and feature matching is put forward. the algorithm uses the object contour in previous frame as the reference template of current frame. based on the fact that object has a continuous track in movement, object ’ s current position can be predicted based on previous position and then match the reference template around the predicted position

    該演算法將前一幀目標輪廓作為當前幀的參考模板，根據目標在運動過程中具有軌跡連續性的特點，利用目標過去的跟蹤點位置信息得到當前的預測位置點，然後在預測位置點周圍一定范圍內進行模型匹配，以與參考模板匹配值最大的輪廓作為當前幀的目標輪廓，並且把它更新作為下一幀的參考模板。
  16. To retrieval directly information with images, by using the face detection technique based on the gravity - center template matching method and the face recognition technique based on methods of the principal component analysis and the linear discriminative analysis

    摘要為了能直接通過圖像檢索自己所需要的信息，提出了一種直接根據人臉圖像來檢索信息的技術，採用基於重心模板匹配的人臉檢測技術與主成分分析方法、線性判別分析方法相結合的人臉識別技術設計並實現了一個人臉圖像檢索系統。
  17. ( 2 ) some research on the template matching method based on iterated function system is done, and the similar theorem and its inference for measuring the approach degree of search image and template based on hausdorff distance between eps attractors are given

    （ 2 ）最後，研究了一種基於迭代函數系統的新的模板匹配方法，該方法把迭代函數系統作為圖象特徵進行提取，並給出了相似定理及其推論。
  18. After the implementation of the 2 - d gaussian filters, blood vessels are clearly extracted from the background

    經二維高斯濾波器的模板匹配后，血管從背景中顯現出來，取得較令人滿意的對比度和清晰度。
  19. A novel method of content - based image segmentation using deformable template matching is proposed. a two - dimensional ( 2 - d ) deformable template based on orthogonal curves is built by pre - computing extensions of the deformable template along orthogonal curves and sampling the curves uniformly. then the definitions of internal and external energy functions are given according to the image segmentation problem, and genetic algorithm is used to obtain globally optimal solutions. the proposed method uses a lower - dimensional search space than conventional methods and reduces the sensitivity of the algorithm to initial placement of the template. experiments on real - world images and in simulations at low signal - to - noise ratio show the robustness and good performance of the method

    本文提出一種採用可變形模板匹配技術進行基於內容的圖像分割演算法.通過預先計算出可變形模板沿著變形的正交曲線，並對模板曲線及正交曲線進行離散抽樣，建立一基於正交曲線的二維（ 2 - d ）可變形模板，針對圖像分割問題定義控制可變形模板進行變形的內、外部能量函數，本文採用遺傳演算法搜索能量函數最小的全局最優解.該新演算法比傳統的可變形模板匹配方法降低了搜索空間的維數，減少了演算法對模板初始位置的敏感.對實際圖像及模擬低信噪比圖像處理的結果表明，新演算法具有良好的分割精度及穩定性
  20. The research of template matching algorithm based on extracting of image contour in robot vision is accomplished in this paper. this algorithm, is involved in many fields " knowledge such as mathematics, optics, physics, signal analysis, imaging system, and so on, is strongly all - around one

    本文研究了機器人視覺中基於輪廓提取的模板匹配演算法，該演算法綜合性強，涉及多方面的知識，如數學、光學、物理、信號分析、成像系統等。
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