獲取文本坐標 的英文怎麼說

中文拼音 [huòqǔwénběnzuòbiāo]
獲取文本坐標 英文
gettextposition
  • 獲 : Ⅰ動詞1. （捉住; 擒住） capture; catch 2. （得到;取得） obtain; win; reap 3. （收割） reap; harvest Ⅱ名詞（姓氏） a surname
  • 取 : Ⅰ動詞1 （拿到身邊） take; get; fetch 2 （得到; 招致） aim at; seek 3 （採取; 選取） adopt; assume...
  • 文 : Ⅰ名詞1 （字） character; script; writing 2 （文字） language 3 （文章） literary composition; wri...
  • 本 : i 名詞1 （草木的莖或根）stem or root of plants 2 （事物的根源）foundation; origin; basis 3 （本錢...
  • 標 : Ⅰ名詞1 [書面語] （樹梢） treetop; the tip of a tree2 （枝節或表面） symptom; outside appearance; ...
  • 獲取 : gain; obtain; achieve獲取物 take
  • 文本 : text; version
  1. Visual analysis of human motion has been receiving increasing attention from researchers in the fields of image processing and computer vision during the past few years. it has a lot of applications in virtual reality, smart surveillance system, advanced user interface, motion analysis and video compressing, etc. this paper focuses on the technology of human motion tracking based on video, first, we make a summarization of the domestic and overseas status of the research in this field. on the basis of this, we analyse the technical difficulties of human motion tracking. as most of the existing model - based methods of human motion tracking perform not so good in some situation as they need mannual intervention, and also the precision of tracking is not so satisfying during the research of tracking of walking people because of the self - occlusion of legs, this paper proposes an algorithm of automatic detection and tracking of legs of the walking people based on monocular image sequences, in which we analyse the features of walking people, track the five joints of lower limbs, get various parameters, and then re - construct the walking process. the main research achievement is as follows : 1 ) we propose an algorithm of markerless automatic extraction of leg skeleton. first we divide the video into continuous image sequences, after background subtraction, the satisfying human region could be extracted, then we get a single - connected region by converting the rgb image to binary image and median filtering. afterwards, the contour of lower limbs in the frame with a widest boundingbox is detected, using sobel operator, to find the ankle joint of leg behind according to the features and rules of walking, then, the joint of knee of leg behind, hip, ankle of leg in front, knee of leg in front could be got in turn. so, model of leg skeleton is constructed

    首先將視頻分解成許多連續的靜態圖像幀，經過背景去除，把感興趣的人體區域提取出來，通過二值化，中值濾波等預處理方法得到只有人體的一個單連通區域，然後用sobel運算元檢測出boundingbox最寬幀中人體下半身的輪廓，根據運動規律及特徵找到後腿踝關節點，結合從boundingbox最窄幀中所獲取的腿長依次得到後腿膝關節，跨部關節，前腿踝關節，前腿膝關節四點，從而構建出腿部骨架模型。 2 ）實現了人體步行腿部骨架的跟蹤演算法。在完成對腿部骨架模型的自動初始化之後，本文對跨關節、膝關節及踝關節分別採用運動建模、圓周相交定點演算法、運動預測及預測點周圍搜索rgb相似矩形塊三種方法確定每一幀中其實際坐標，從而重構出腿部骨架的運動過程。
  2. The paper contact the remote sensing images with gvg data from the program, so the interpreter of remote sensing images can consult the gvg spot for crop information of remote sensing images. it can increase the objectivity and precision of interpretation of remote sensing images

    本文通過自編程序將gvg數據庫中采樣點的經緯度坐標與遙感圖像結合，使解譯者能獲取遙感圖像某一點對應的實際地面采樣圖像，在解譯過程中直接參考gvg采樣圖像，大大提高解譯的客觀性，提高解譯精度。
  3. The paper takes the new method to pick up the tomato rgb color characters by the color information of the images. analyzing the pixels of the images, the tomatoes identifying result is r - g > 80. compute the centroid ' s coordinates of the tomatoes and orientate them on the images using the square method

    本論文所採用的新的演算法：根據所拍攝的番茄和葉子的圖像中rgb顏色信息來提取番茄rgb顏色特徵，通過對番茄和葉子圖像中像素的分析得到r - g 80為圖像中番茄的識別條件；並且計算質心坐標來定位圖像中的番茄，滿足了水果智能收獲機械中的迅速、準確識別的要求。
  4. 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。
  5. The initiative thought of the paper is that scientific view of development and best allocation of military financial resources are regarded as new criteria ; attainment, allocation, utilization and evaluation of military financial resources are analyzed and studied systematically to realize the scientific management of military financial resources and make best allocation and efficient utilization of military financial resources ; military finance management is reformed through the integral thoughts

    本文把全面貫徹落實科學發展觀，優化配置軍事財力資源，作為新時期加強軍事財力管理工作的一個全新坐標;對軍事財力的獲取、分配、使用等環節進行全過程、全系統的分析研究，從而確保對軍事財力運行的活動過程和活動內容實施有效的管理，實現軍事財力管理的科學化，進而保證軍事財力資源的最優化配置和高效使用;提出用一體化的思想對軍事財力管理進行改革。
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