輪廓分割 的英文怎麼說

中文拼音 [lúnkuòfēngē]
輪廓分割 英文
profile split
  • 輪 : Ⅰ名1 （輪子） wheel 2 （像輪子的東西） wheel like object; ring; disc 3 （輪船） steamer; steamboa...
  • 廓 : Ⅰ形容詞（廣闊） wide; extensive Ⅱ名詞（物體的外緣） outline
  • 分 : 分Ⅰ名詞1. （成分） component 2. （職責和權利的限度） what is within one's duty or rights Ⅱ同 「份」Ⅲ動詞[書面語] （料想） judge
  • 割 : 動詞（截斷） cut; mow
  • 輪廓 : outline; line; lineament; contour profile; rough sketch
  1. We put forward an algorithm for self - discrimination of island relation and an automatic intersected method of the region machining unit, which can judge the relationship among any plane obturate contour line effectively and swiftly. we also study the tool path generation technology of two - dimensional machining, basso - relievo machining, three - dimensional lifting - pen machining. meanwhile, we put forward an optimize approach of tool path, which improve the efficiency of engraving

    研究了圖像的刀具路徑生成技術與軌跡規劃問題，提出了基於射線的島嶼關系自動判斷和區域加工單元的自動分割方法，有效、快速地判斷了平面任意封閉輪廓線之間的關系，研究了平面任意區域填充加工、浮雕加工、三維提筆加工的刀具路徑生成的技術，提出了刀具路徑優化方法，提高了雕刻加工的質量和效率。
  2. First the sketch / datum plane is fitted by least - square distance, then the extruded direction or axis with the flank points of the cloud is extracted in quadratic paogramming arithmetic, and certain points projected to gain 2d sketched datas. feature points are defined to segment the sketch datas, and the sketch profile is generated by fitting separately the line and circle segment

    使用最小二乘方法擬合草圖基準平面，採用二次規劃方法提取拉伸方向和旋轉軸線，然後將數據點投影以獲取草圖數據，通過柵格劃分提取草圖邊界輪廓數據，再對這些邊界數據進行基於特徵點的分割，以直線和圓弧段擬合出草圖輪廓。
  3. Geodesic active contour model ( gacm ) was originally proposed by caselles as a novel approach for image segmentation and object exaction

    短程線主動輪廓模型（ geodesicactivecontourmodel ）是一種全新的圖像分割和目標提取方法，由caselles等人首先提出。
  4. Secondly, feature extraction methods based on target profile is researched. for segmented target, fourier descriptor is adopted

    其次，研究了用於目標輪廓信息特徵提取的方法;對已分割的目標提取輪廓信息，採用傅立葉描述符描述。
  5. 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。
  6. We get the continuous contour curve after using active contour model ( gvf snake )

    對于分割后獲得的細胞核輪廓利用活動輪廓模型進行了優化，從而獲得連續的細胞輪廓曲線。
  7. 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。
  8. That part includes : the whole designation of compression algorithm, segment of roi, implementation of wavelet ' s transformation, silhouette ' s coding and experimental result

    這一部分主要包括:整個壓縮方案的設計，感興趣區域的分割，小波變換的實現，輪廓編碼和實驗結果。
  9. In fact, now, most of the segmentation methods for the tagged left ventricle are alternating, the typical one of them is the active contour model ( snake model ) and it ' s deformation, which need to give a initial contour of the probably position of the object

    事實上，目前對左心室輪廓和標記線的分割都是交互的，典型的演算法是活動輪廓（ snake ）模型以及其變形方法，系統需要指定一個初始的左心室的大概位置。
  10. The work including : ( 1 ) svm based auto detection and segmentation of left ventricle mri image the aim of the segmentation of the left ventricle mri image is to find out the inner and the outer contour of the left ventricle, while for that the structure of the heart is very complex, meantime the tag lines may also decay, the contrast of the object and the background will also descend, which still make the segmentation more difficult

    同時，對核空間方法在圖像處理領域的幾種應用進行了論述。本文工作包括： （ 1 ）設計基於svm的mri左心室圖像的自動檢測及分割過程心臟mri圖像分割的目的是為了找出mri圖像中左心室的內外輪廓，但是由於心臟的解剖結構非常復雜，再加上標記線會隨時間衰減，目標和背景的對比度會下降，這使得圖像的自動分割更加困難。
  11. 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。
  12. 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。
  13. In tracking section, we still adopt the snake to converge on the object contour by improving the energy functions, in the tracking frame, initial points are acquired by calculating the average inter - frame motion vector of the block, because all snaxels have approximately the same motion vector as the moving object is proposed to be rigid and have no salient deformation

    跟蹤部分：根據剛體運動的特點（運動區域具有一致性和不發生較大的形變）求出運動目標的平均位移矢量，與在分割部分求出的目標的輪廓點的位置相加，作為下一幀跟蹤的初始輪廓點，結合改進的snake能量函數使其更精確地收斂到運動目標輪廓上，達到準確跟蹤的效果。
  14. Simulation result shows our approach can highly improve the connectivity and the accuracy of the image boundaries quickly and easily. ideally, the methods discussed in the previous section should yield pixels lying only on edges. edge connection is an important post - process technique of image edge extraction and image segmentation

    完成邊緣點的檢測后，為了得到能夠表現物體基元的邊緣鏈，我們需要進行邊緣連接的工作? ?將邊緣點連接成有意義的直線或曲線段，得到物體外部的閉合輪廓，進行圖像分割。
  15. Experiments and results have proved that this proposed model is robust to initial contour placements, and it can segment automatically ct medical image of left lateral ventricle and cerebellopontine angle

    實驗結果表明，該模型對初始輪廓曲線位置不敏感，能實現左側腦室和小腦腦橋角ct （ computerizedtomography ）醫學圖像的自動分割。
  16. At the same time, according to the excellent capability of ip curves, we study fitting and description of objects, determination of invariants of objects, symmetry detection and recognition of objects based on ip curves. in all, the main contributions in the dissertation are as follows : ( 1 ) a method of determining automatically the scale of the multiscale edge detection is proposed based on the variant distance of the variogram function, and a method of segmenting texture images is also presented. the variograin values are taken as stochastic and structural properties of texture images and variant distance is taken as the size of image window

    同時，基於隱含多項式曲線良好的物體描述與識別能力，對物體邊界輪廓的擬合、描述、不變量特徵的提取、識別以及物體對稱性檢測作了系統的研究，主要成果及創新之處有： （ 1 ）基於變差函數的變程，提出了圖像多尺度邊緣檢測中尺度大小的自動確定方法；將變差函數的變差值作為紋理的統計和結構特徵，依據變程確定窗口大小，給出一種新的紋理圖像的分割方法。
  17. After the discussion of several kinds of optimum threshold segmentation methods, a multi - feature vector space and three new criteria ( global comparison detection, geography priority privilege, equal opportunity for competence ) are developed for region growing control, a new region growing method is brought forward. at last the region splitting and merging, region clustering, neural networks, snake active contour model et al have been discussed

    提出了全局比較探測、面積測定及空間優先、競爭機會均等三個有效的準則，利用灰度、紋理多特徵矢量改進了傳統的區域增長演算法，並對紋理分析，神經網路分割和snake活動輪廓分割進行了有益的探索。
  18. The active contour is chosen to be the method for segmentation

    在分割演算法中，我們選擇了基於邊界的活動輪廓分割演算法。
  19. With the defect of too much manual intervention in usual cell contour segmentation methods, an automatic vivo - cellular segmentation algorithm is proposed based on morphological and active contour model

    摘要對常用細胞輪廓分割方法人工干預較多的缺點，提出基於形態學和活動輪廓模型的活體細胞圖像分割演算法。
  20. The arithmetic extracts the profile features, and segments the profiles from both vertical and horizontal directions of the human face ’ s gray image which is based on physiological features of human faces. then, the profile image is divided into some blocks, and we use the profile features of all blocks as the profile feature of the whole image

    演算法提取了圖像的輪廓特徵，針對人臉的生理結構，對人臉的灰度圖像進行水平和垂直方向的輪廓分割，在此基礎上對輪廓圖像進行分塊，抽取各子塊的輪廓特徵進行加權作為整塊圖像的輪廓特徵。
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