邊界跟蹤演算法 的英文怎麼說

中文拼音 [biānjiègēnzōngyǎnsuànfǎ]
邊界跟蹤演算法 英文
edge following algorithm
  • 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...
  • 界 : 名詞1 （相交的地方; 劃分的界限） boundary 2 （一定的范圍） scope; extent 3 （按職業、工作或性別等...
  • 跟 : Ⅰ名詞（腳的後部或鞋襪 的後部） heel Ⅱ動詞1 （在後面緊接著行動） follow 2 （指嫁給某人） be marrie...
  • 蹤 : 名詞（腳印; 蹤跡） footprint; track; trace; trail
  • 演 : 動詞1 （演變; 演化） develop; evolve 2 （發揮） deduce; elaborate 3 （依照程式練習或計算） drill;...
  • 算 : Ⅰ動詞1 （計算數目） calculate; reckon; compute; figure 2 （計算進去） include; count 3 （謀劃;計...
  • 法 : Ⅰ名詞1 （由國家制定或認可的行為規則的總稱） law 2 （方法; 方式） way; method; mode; means 3 （標...
  • 邊界 : boundary; frontier; border; borderline; edge range line; periphery
  • 跟蹤 : follow the tracks of; tail after; following; follow up tracing; track; tracking; trail; lock on; ...
  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. The main results in this paper as follows : first, a prototype of a shape - based image database retrieval system is completed, it can receive the query mode both by giving an example image and by sketching the desired object on the screen, second, five shape - based image retrieval methods are realized ; third, an algorithm based on triangulation for shape - based image retrieval is brought forward. in this algorithm, firstly, the edge of the original image is followed and the candidate corners in the original image are detected. then the counterpoints of the candidate corners in the result of edge follow are found, and the boundary corners whose counterpoints have been found are queued in the order of their counterpoints in edge follow

    同時本文中主要完成了以下三方面的工作：完成了一個基於形狀特徵的圖象檢索的原型系統，可實現例子圖象或徒手繪草圖兩種查詢方式；實現了五種利用形狀特徵進行圖象檢索的具體方法，並對其進行了分析比較；並且在繼承將三角剖分引入形狀檢索的思想基礎上提出了利用三角剖分進行形狀檢索的一種新演算法：先對原圖象進行邊界跟蹤和角點檢測；然後尋找初始角點在邊界跟蹤中的對應點，並對找到對應點的角點按其對應點在邊界跟蹤中的順序進行排序；再對排序后的角點進行德洛內三角剖分，得到能表示目標真實形狀的三角形序列；最後計算三角形序列的角度直方圖作為形狀特徵，並進行相似性匹配。
  3. Firstly, a fourth - orders statistic hypothesis testing in inter - frame difference is used to automatically separate the moving areas from the background in a general video sequence. secondly, change areas are extracted as markers of the corresponding moving object. using the marker, region - growing algorithm can locate the precise boundary of moving object

    （ 3 ）基於輪廓跟蹤；首先介紹了提取初始模板方法?基於高次統計的判決演算法，通過選擇合適的背景噪聲閾值，最終得到較好的結果，然後對於後續幀中的邊界提取，提出將灰度圖像所使用的區域生長方法進行改進，即將它們運用到彩色圖像中，通過選擇合適的生長規則，得到較好邊界圖。
  4. Introducing and comparing the difference within the conception of area segmentation, motion segmentation and moving object segmentation vop extraction, and their application in content - based video sequence image coding. analysis the relationship between the frame difference image and its relative frame gray level image. then a new automatic moving object edge tracking and extracting method, based on the high correlation between the edge of frame difference and the edge of gray level image, was proposed. using the close of moving object edge to get the real moving object

    介紹比較區域分割運動分割和物體分割的概念及其在視頻序列圖像分割中的應用。分析說明各種運動狀態下幀差圖像與相應幀灰度圖像的關系。提出了基於幀差圖像邊緣與灰度圖像邊緣之間強相關性的運動物體邊界自動跟蹤提取演算法。
  5. In order to detect the interested boundary fast and correctly, an boundary point tracking algorithm was proposed to detect the specifical edge of the image

    摘要為了快速準確的檢測特定邊界，採用邊界點跟蹤演算法檢測特定輪廓邊界點。
  6. Contraposed those characteristics of leather, after studying all kinds of algorithms of image segmentation, this dissertation chooses the techniques of thresholding methods of parallel region segmentation and edge tracing methods of serial edge segmentation to detect the contour of the leather image. then by using polygonal approximation method, we can convert the contour ' s form from image into graphics. it will make following arrangement works more convenient

    本論文針對皮革圖象的上述特點，在對各種圖象分割演算法進行研究后，選用了并行區域分割中的閾值化技術及串列邊界分割中的輪廓跟蹤技術，將皮革圖象的邊緣輪廓檢測出來，並對該輪廓進行多邊形擬合，使其由圖象轉換為圖形，以便為后續排樣工作提供方便。
  7. At the basis of analyzing different boundary tracking algorithms, boundary point estimate algorithm based on angle and boundary point searching algorithm based on circumferential neighborhood extending were advanced to avoid tracking trap and to improve the robust of the boundary tracking algorithm

    通過分析不同演算法的特點，提出了基於已知點夾角的邊界點預估計演算法和基於圓弧鄰域擴展的邊界點搜索演算法，以避免跟蹤進入搜索陷阱，提高邊界跟蹤對邊界變化的魯棒性。
  8. University of paisley, february2000, 7 : 1 - 10. 16 pavlidis t. algorithms for graphic and image processing. rockville, md : computer science press, 1982

    用弗里曼鏈碼freeman code chain抽取圖像輪廓，用邊界跟蹤演算法處理有交疊的子詞。
  9. First, the authors uses regional growing algorithm based on seeds point selected by manual work to ascertain the main area awaits to be segmented, then taking advantage of the precision of the edge tracing method to precisely define the boundary and thus to attain the precise segmentation

    先用人工選取種子點的區域增長演算法確定待分割組織的主體區域，再利用邊緣跟蹤法對細節處理較好的特點精確定位邊界，從而達到準確分割的目的。
  10. Segmentation of chromosome : the chromosome image is segmented by the method of boundary gray level threshold and entropy algorithm based on genetic algorithm, then, after boundary smoothing and edge tracing, the chromosome position information is acquired. 2. diagnostic extraction of chromosome : on the basis of skeleton pixel after thinning, the medial axes are obtained by the orthogonal approximation

    主要研究內容如下: 1 、染色體圖像分割:採用基於邊界灰度的門限演算法和基於遺傳演算法的熵演算法來尋找染色體圖像二值化需要的分割閾值，對分割后的圖像存在的噪聲分別採用內插來置換和邊界跟蹤來消除; 2 、染色體特徵提取:採用細化技術將染色體細化一些離散的骨架點，用插值方法獲得平滑的曲線染色體中線。
  11. Boundary tracking algorithm of objects in binary image

    二值圖像中目標物體輪廓的邊界跟蹤演算法
  12. The separation algorithm based on boundary tracing do not need the acute angle and / or the low density contrast at the points where the objects touched and get better separation result

    基於邊界跟蹤的分離演算法能夠克服聚堆目標連接處的凹陷比較明顯並且或者在連接處存在灰度局部最小邊緣的要求，取得了較好的分離效果。
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