template matching 中文意思是什麼
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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。 -
Due to the image exists the instances of spin and distortion, in order adopting part small template proceed matching in order to reduce thereof impacts by as possible, besides small template matching may decrease calculation quantity, and it is propitious to real time of matching. looking into be on the impact of illumination, chromatism, under cloak circumstance template size and quantity select versus matching rate. matching primitive chooses gray, gray information measure large and most easy to obtain, but it is rather effected by illumination condition and chromatism, maximum matching rate restricted to 70 %
瓷磚缺陷檢測採用待測圖像與標準圖像作差法，作差法對匹配精度要求較高，因此在匹配誤差存在的點進一步做了亞像素級的匹配;導彈目標識別，採用背景匹配的方法，統計背景移動距離指導目標的識別;叢林中移動目標識別，採用作差法找到目標區和背景區，分別採用不同的模板和閾值匹配，統計目標區匹配結果。 -
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。 -
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。 -
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。 -
The colors of woven fabric patterns are identified automatically by using the combined technique of a fuzzy c - means clustering algorithm and template matching, and the colour images of color - yarn arrangements and the woven fabric images classificated in colors are obtained, which can be used for fabric pattern recognition and template matching identifition
摘要採用模糊聚類與模板疊合判定技術相結合的方法實現了色織物組織點顏色的自動判析，得到色紗的排列圖和顏色分類后的織物圖像，可用於進一步的組織識別和疊合驗證。 -
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 -
The first method is based on general knowledge. the second one is based on template - matching and mosaic image. last, the candidate of faces will be passed to the svm ( support vector machines ) classifier for the final decision
通過基於常識的人臉粗篩選之後，再進行基於人眼模板、人臉模板的相關匹配篩選和基於馬賽克圖的規則匹配篩選，最後送入支持向量機進行最終的判別。 -
( 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。 -
An improved algorithm for template matching with circular windows
生成距離圖的同心圓窗口矩匹配快速演算法 -
In this paper, the method vision - based for uav autonomous landing is researched using technology of image processing, computer vision and projection geometry. the first task of computer vision - based uav autonomous landing is to recognize and track the runway using computer vision. a simple method is discussed to recognize and track the runway in the image sequences using template matching
本文的研究工作來源於「 973 -無人作戰飛機系統」項目，以某型無人機試飛過程中拍攝的著陸場景圖像為基本研究材料，綜合利用了圖像處理技術、計算機視覺技術、射影幾何學等方法研究了跑道識別與跟蹤、進場著陸段的圖像處理、無人機著陸段飛行參數提取等相關問題。 -
Template matching technology is the key of target detection system. matching namely that sensor captures two breadths of or many breadths of images aiming at in space versus identity scenery in different time and different image - forming condition, or according to known mode look for homologous mode in another breadth of image
目標檢測系統受許多不可預知的條件影響，如光照、噪聲、旋轉及移動、遮掩物、隨機紋理等，使圖像識別變得困難，進而影響了目標檢測的穩定性。 -
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。 -
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。 -
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。 -
( 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。 -
In template matching algorithm based on area of picture, the problem that the speed of matching is slowly was existed. under the condition of matching quality, raising matching speed is significant in constructing panoramic space
在基於面積的圖像匹配演算法中，普遍存在拼接速度緩慢的問題，而在保證拼接質量的前提下，提高拼接速度對于構造全景空間有重大意義。 -
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 -
To detect and track moving object using computer vision and image processing algorithms, such as motion detection, template matching, visual probability data association, etc
利用電腦視覺技術進行目標物識別與追蹤，同時以機率資料連結濾波器預測目標物軌跡，再透過雙軸馬達相機平臺以完成即時追瞄任務。 -
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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