edge segmentation 中文意思是什麼

edge segmentation 解釋
邊緣分割
  • edge : n 1 刀口，（刀）刃；鋒；端；銳利。2 邊，棱，邊緣，邊界，界線，界限。3 優勢，優越條件。4 （聲調、...
  • segmentation : n. 1. 分割；切斷。2. 【生物學】（細胞）分裂；（動物）分節；斷裂。
  1. Further more, this algorithm also provides the criterion distinguishing edge inflexion and sleek curve section and the method computing inaccurately curvature radius and approximate perimeter. the paper also introduces the use method with cell edge hollow repairing and overlap or conglutination cell segmentation. for example, this algorithm has proved high - speed and has a good effect of cell segmentation on more than twenty groups of conglutinate and absent cells which are gathered from three kinds of cells

    同時給出了利用這些參數判別邊界角點，邊界光滑段的判據，以及估算曲率半徑，等效周長的方法;最後，以細胞邊界凹陷的修補和重疊細胞粘連的分割為例驗證了演算法的可行性，該演算法在採集到的30餘組粘連和缺損細胞上進行了驗證，結果表明，該演算法處理速度快，分割效果良好。
  2. It first finds the best features that are extracted from glcm and explain the texture clearly in different resolution, and then segments on different level, at last, by combining the structure information of texture edge, extract the edge of different patterns to get a relatively accurate result of texture segmentation

    該演算法有效的利用了由灰度共現陣得到的、不同解析度上最能表述紋理特性的統計特徵，分層次對圖像進行分割，然後結合紋理的結構信息對邊緣區域進行邊界定位，進而得到較準確的紋理分割圖。
  3. Image segmentation based on msp - roa edge detection

    邊緣檢測和區域合併的圖像組合分割方法
  4. Both two methods require a good binary image, if there exist concave, the aggregated objects will be segmented and recognized correctly and the error is lower, otherwise, it may give err result. considering the edge information will give robust segmentation, but the information may contain noise when the object is strongly non - uniformity and the speed decreases

    該演算法對圖像的二值化效果要求較高，當物體間的縫隙在二值化后能部分或全部判定為背景，即粘連的物體在二值化后能有明顯的凹陷時，識別率很高，誤差幾乎可以為零。
  5. In the course of measurement of workpiece face runout, variance method of the most species based on separability and image edges distilling based on morphology and marr filtering based on edges segmentation are used to enhance effectively accuracy of image segmentation and edges distilling. accuracy of measurement of face runout is enhanced effectually by use of least square method of compressing rectangle fitting edge of image and transforming of dft

    該系統在工件端面跳動測量過程中，採用了基於可分性的最大類間方差法和形態學邊緣提取以及基於邊界分割的marr演算法，使圖像分割和邊緣提取的準確性得到了很大的提高；用壓縮矩形的最小二乘法擬合工件端面圖像的邊緣以及用dft變換對工件端面的跳動量進行測量，使端面跳動測量的準確性得到了很大的提高。
  6. By using threshold segmentation, edge recognition, pixel labeling and center of gravity method, the accurate sites of every model can be acquired from the image

    綜合運用閾值分割、邊緣識別和像素標記法等圖像識別技術，通過圖像得到每個模型的相關定位信息。
  7. Parametric active contour model to deal with automatic segmentation of weak edge medical image. based upon analyzing balloon force model, a minimum variation snake model is proposed and successfully applied to segmentation of weak edge medical image. in the model, variable force incorporating the information of foreground and background regions replaces constant force in the balloon snake model

    高斯力和氣球力等傳統的參數活動輪廓模型難以處理弱邊界醫學圖像自動分割問題，在氣球力snake模型基礎上，提出最小方差snake模型，該模型將氣球力snake模型中的恆定氣球力修改為包含區域信息的變力，以目標和背景兩區域具有最小方差為準則，引導輪廓曲線運動。
  8. Compared with traditional arithmetic, the result shows that the improved method is better in keeping integrality and consistency of image, image segmentation, threshold edge detection

    然後針對骨髓切片圖像中粘連細胞的特點，運用了基於距離變換的分水嶺分割演算法以及等值線跟蹤及臨界跟蹤法完成了對粘連細胞的分割。
  9. The rnultiscale edge detection and texture image segmentation are studied based on the variogram function

    我們基於變差函數的這種性質對圖像的多尺度邊緣檢測和紋理分割作了較為深入的研究。
  10. In this paper a system for segmenting and tracking the objects from sequences is designed. this system is mainly made up of three parts that are the motion estimation giving out the motion vectors, the edge detection finding the edge points and contour and the deformable contour achieving the segmentation and tracking for the objects

    本文設計了一種基於可變輪廓的序列圖像的分割和跟蹤系統，該系統主要由三個部分組成：運動估計給出運動向量，邊緣點輪廓提取得到圖像的邊界圖和外輪廓，而可變輪廓分割方法實現目標分割和跟蹤。
  11. By using peak - band algorithm, the aim area ( b area ) is segmented from the wear area image. aiming at the edge noise of image, mathematical morphology theory is applied to integrate edge. test results show that the segmentation algorithm is effective in identifying tool wear degree

    針對邊界中存在的分割噪聲使用圓形形態運算元對邊界進行完整化，最終獲得了完整的刀具磨損區圖像，為實現通過刀具磨損區大小來評判刀具磨損程度的方法奠定基礎。
  12. And then the paper gives the image processing methods used in the geometrical parameter measuring system. according to the process of the image processing, it introduces the following three methods in order : image pretreatment method which consists of the average value of neighbour area and lowpass ; image segmentation method which involves threshold segmentation, edge detection, image thinning and edge connecting ; the image matching method consiting of picking up feature point, matching and rebuilding

    然後給出了在幾何量測量系統中所用到的圖象處理方法。依照圖象處理的過程，先後介紹了圖象預處理的方法，包括鄰域平均法和低通濾波法；圖象分割方法，包括二值化、邊緣檢測、細化以及邊緣連接等；圖象匹配的相關方法，包括特徵點的提取、匹配及重建。
  13. Algorithms of video segmentation that are good adaptive character and real time are crucial to the final mpeg 4 coding products there exist the contributions in this dissertation as follows obtaining the edge of video objects is crucial to the video segmentation, author researches the features of human being visual, especially giving a description of mach band that is usually used in the image processing, and builds a model of mathematics, researching the mach band of color image

    （ 1 ）視頻分割的關鍵是獲得視頻對象的邊界，邊緣檢測很重要，本論文以人類的視覺系統的特性為出發點，對圖像處理中經常應用的馬赫帶現象進行了詳盡的分析並進行了數學建模，研究分析了彩色圖像的馬赫帶現象。在對馬赫帶圖像分析的基礎上，得出了人類視覺系統對圖像邊緣能識別的最小灰度差和彩色差曲線。
  14. Research and implemention of one - dimensional maximum - entropy threshold image segmentation based on edge features

    基於邊界特徵的一維最大熵圖象分割演算法的研究與實現
  15. Divide the image into several regular blocks, do n ' t separate the blocks without consistent attribute and unite the blocks with the same attribute, until forming a district map. the ability that man can distinguish different goals from the complicated scenery quickly, at least partly benefit from many kinds of information in the image, such as the grey level, border, texture, etc. it illumine people to create methods on how to use mis information to segmentation. edge information is the most important high frequency information of an image

    本文以湖北省科技廳重點科技發展計劃項目資助課題? ? 「智能運輸系統的視頻信號採集及識別演算法研究」為背景，以課題中數字圖像處理部分主要環節之一? ?車牌圖像的分割問題為主要研究目標，在參閱大量文獻資料的基礎上，對數字圖像分割方法進行了學習和研究，並結合特定的數學理論，如數學形態學、小波分析等，對車牌圖像分割方法進行了著重地探討與實現。
  16. The developed simple m - s model is suitable for weak edge image segmentation by adjusting weighting coefficient. the experiments on tumor ct image segmentation show that geometric active contour model requires more computational load than snake model but it can converiently control the topology construct of segmented image

    在腫瘤ct醫學圖像分割實驗中，通過比較參數活動輪廓模型與幾何活動輪廓模型可知，參數活動輪廓模型計算量小於幾何活動輪廓模型計算量，而幾何活動輪廓模能適應拓撲結構的變化。
  17. By contrast, a algorithm called image segmentation based on edge detection is used to make the initial binary segmentation

    在二值化初級分割中，對比了幾種分割方法，選擇基於邊緣強度的閾值選擇方法。
  18. Pretreatment of image is studied, such as graying, smoothing, the choice of threshold value, edge detection, erosion, inflation, figure pick - up, figure following, image segmentation. the aim is to produce a breadth of image easy to recognize and understand for computer, at the same time the base is established for stereo vision

    對圖像的預處理進行了研究，如圖像的灰度化、平滑化、閾值選擇、邊緣檢測、腐蝕、膨脹、輪廓提取、輪廓跟蹤、圖像分割等，目的是產生一幅計算機易於識別和理解的圖像，同時為立體匹配奠定了基礎。
  19. 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。
  20. In this paper we have used the watershed segmentation arithmetic of mathematics morphologic to analyze and mark the sequential and similar gray target image. as a result, resolved the difficult problem that general technology of digital image ca n ' t detect leucocytes " edge of overlapping cells, which has creative meaning in the edge segmentation technology of leucocytes plasm

    應用數學形態學流域分割演算法對具有連通或相似灰度的目標圖像進行檢測與標示，解決了一般數字圖像處理技術難以分割具有交疊區域的白細胞圖像的問題，在細胞漿的邊緣分割中具有創新意義。
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