contour template 中文意思是什麼
contour template
解釋
外形模板-
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 -
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。 -
Firstly, the paper introduces the development and application of computer graphics & image technique, discusses the principle and method of cg and digital image processing, such as matrix of the graphic transformation, homogeneous reference frame, sampling and quantization of the image, file format of the image, template operation, etc. secondly the paper introduces the purpose and method of image enhancement processing, explains the each occasion of those methods such as threshold transformation, smoothing processing, sharpening processing, analyzes and contrasts the processing results of object image. thirdly, the paper introduces the method of mathematics morphologic, edge detection and thinning processing, attains character description of image and character dots of the contour. fourthly, the paper processes the coordinate transformation to character dots and basic splines fitting, imports correlative condition to devise meshing line and meshing track
本文首先介紹了計算機圖形圖像技術的發展與應用情況，對計算機圖形學和數字圖像處理的一些基本理論和方法如圖形變換矩陣、齊次坐標系、圖像采樣和量化、圖像文件格式、模板操作等內容進行了討論：然後對圖像增強處理的目的和方法進行了介紹，對諸如閥值變換、平滑處理、銳化處理等方法的應用場合進行了說明，並對實物圖像的處理結果進行了分析與比較；接下來介紹了數學形態學方法、對增強后的圖像進行邊緣檢測的方法和圖像的特徵描述方法，並獲取輪廓的特徵點：隨后對獲取的特徵點進行坐標變換，並進行b樣條曲線擬合，引入相關條件生成齒輪副的嚙合線及嚙合軌跡：最後引入等值線和區域填充表示方法，並以等值線和區域填充的形式對弧齒錐齒輪嚙合模擬的載荷分佈情況進行了直觀的表示。 -
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。 -
Image processing system is a very important part of mini unmanned helicopter, which mainly dealing with how to detect the object and supply the navigation computer with location information of the object. however, the varied background and the moving of the camera make the image processing become difficult. to solve these problems, this thesis introduces an object detection algorithm based on contour retrieving, template match and hu moments invariant
硬體組成詳細探討了系統結構，並對所採用的ccd攝像機、視頻採集卡等硬體單元作了描述；在軟體設計中，首先對不同操作系統環境下的視頻捕獲做了討論；接著，重點研究了針對機載攝像機拍攝圖像的目標檢測方法，提出並實現了基於模板匹配和不變矩的目標檢測演算法，以及基於機器學習的目標檢測演算法。 -
Wiener method is based on statistics estimated from a local neighborhood of each pixel. ( 2 ) acquisition of head and brain volumetric data and development real head and brain reconstruction and visualization algorithms : by using threshold technique and morphological operations such as dilate and erosion, head segmented data were obtained. to obtain the brain segmented data, construct an initial template, design and developed a naval algorithm to make the initial template dynamic change with image slice to get the brain data ; designed a framework for searching, sampling and storing contour data
採用灰度閾值技術和數學形態學的操作獲取頭的數據；在對腦的分割中，本文提出了一種根據腦圖像特點和相鄰圖像在幾何結構上具有相似性的特點，構建了自適應模板匹配檢測腦的方法：首先選擇其中最易處理的圖片應用閾值化演算法和形態學方法提取出腦輪廓，然後根據相鄰圖像之間形態具有相似性的特點，再利用形態學演算法實現腦體數據分割的操作。 -
Test method for contour and mopeds rims - template test
摩托車和輕便摩托車輪輞.輪廓檢驗方法.樣板檢驗
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