邊緣信息 的英文怎麼說

中文拼音 [biānyuánxìnxī]
邊緣信息 英文
marginal information
  • 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...
  • 緣 : Ⅰ名詞1 （緣故） reason 2 （緣分） predestined relationship 3 （邊） edge; fringe; brink Ⅱ動詞（攀...
  • 息 : Ⅰ名詞1 （呼吸時進出的氣） breath 2 （消息） news 3 （利錢; 利息） interest 4 [書面語] （子女） on...
  • 邊緣 : 1 （沿邊的部分） border; edge; fringe; margin; rim; limb; skirt; verge; brink; periphery 2 （靠近...
  1. We use wavelet transform and spiht encoding method to compress the data that we got after speckle noise reduction. the results compare favorably with jphg compression methods

    對于基於邊緣信息的garrote去噪方法我們同傳統的軟去噪和硬去噪以及lee濾波方法進行了比較，得到了很好的實驗結果。
  2. The plan of speckle noise reduction we proposed is use the garrote shrinkage function assisted by edge information of scale 2. we compare the speckle reduction results by conventional soft - valve, hard - valve and lee filter methods, and get very good conclusion

    我們提出的相干斑抑制方法是利用小波變換檢測圖像尺度為2的邊緣信息，再利用檢測出的邊緣信息利用garrote削減函數進行小波域的相干斑噪聲濾除。
  3. This method did the resolution improvement in the wavelet frequency domain and obtained good time efficiency and visual effect

    這個演算法具有良好的時間效率，並且能夠較好的恢復圖像的邊緣信息。
  4. This edge detection method combines the advantages of wavelet lifting method and mathematical morphological method, which fuses the two edge information obtained by different methods, so the noises are restrained effectively and the edges are consecutive and clear

    這種邊緣檢測方法結合了小波提升法和數學形態學法的優點，對用這兩種方法得到的邊緣信息進行融合，有效地抑制了噪聲，且邊緣連續、清晰。
  5. In semi - fragile image watermarking algorithm, a robust watermark and a fragile watermark are extracted from the third approximation coefficient of wavelet transform of the original image. the two watermarks are embedded into the third vertical and horizontal detail coefficients. when authenticating image, image can be authenticated correctly and attacked parts can be localized through comparing the original watermarks and extracted watermarks

    其中，完全認證方法，利用qr分解的特性把圖像的邊緣信息嵌入到載體圖像中，演算法對各種攻擊都具有很好的敏感性;內容認證方法，從載體圖像中提取出一個脆弱水印和一個魯棒水印，並把它們重新嵌入到載體圖像中，認證時，通過兩個水印在圖像傳輸前後的變化情況來對圖像的保留價值進行評估，並準確定位受攻擊部位。
  6. Experimental result shows the algorithm has nearly the same edge preserving performance as nonlinear multiwavelet transform, and nearly the same speckle noise suppression performance as filtering

    此演算法對原圖像進行多小波變換，然後在不同尺度，不同方向進行自適應閾值處理，模擬結果表明：本演算法能夠有效地抑制了斑點噪聲，又保留有用信號及邊緣信息。
  7. In order to better detect the image edge information, firstly, non ? linear median filter technology of characteristic direction was applied to filter out the gauss noise ; secondly, ( 3, 1 ) biorthogonal spline wavelet was used as the primitive wavelet filter, adopting lifting scheme to build the most superior biorthogonal wavelet filter, and applying the superior biorthogonal wavelet to the multiresolution wavelet edge detection ; at the same time, floating threshold was defined and applied to the image edge detection, and the image edge position was located accurately

    在激光探測系統中，微弱的回波圖像淹沒在強背景噪聲中，為更好地檢測這類含噪圖像的邊緣信息，首先應用特徵方向非線性中值濾波技術，濾去高斯噪聲；其次，選擇（ 3 ， 1 ）雙正交樣條小波作為原始小波濾波器，採用提升方案構造最優雙正交小波濾波器，應用構造的雙正交小波進行多尺度小波邊緣檢測；同時，通過定義浮動閾值，並應用於圖像邊緣檢測，較準確地定位了邊緣位置。
  8. In order to better detect the image edge information, firstly, non - linear median filter technology of characteristic direction was applied to filter out the gauss noise ; secondly, ( 3, 1 ) biorthogonal spline wavelet was used as the primitive wavelet filter, adopting lifting scheme to build the most superior biorthogonal wavelet filters and applying the superior biorthogonal wavelet to the multiresolution wavelet edge detection ; at the same time, floating threshold was defined and applied to the image edge detection, and the image edge position was located accurately

    在激光探測系統中，微弱的回波圖像淹沒在強背景噪聲中，為更好地檢測這類含噪圖像的邊緣信息，首先應用特徵方向非線性中值濾波技術，濾去高斯噪聲；其次，選擇（ 3 ， 1 ）雙正交樣條小波作為原始小波濾波器，採用提升方案構造最優雙正交小波濾波器，應用構造的雙正交小波進行多尺度小波邊緣檢測；同時，通過定義浮動閾值，並應用於圖像邊緣檢測，較準確地定位了邊緣位置。
  9. In the process of production and selection of eye - dots, firstly, the binary image contained human eye region is abstracted by morphological translation, labeled based on connection and the labeled region are assembled into candidates of human eye dots. after the dots are fine tuning based on gray projection calculation, they are chosen ground on gray and edge information

    在人眼待選點的產生和篩選過程中，我們首先通過形態學變換提取包含人眼區域的二值圖像；對二值圖像進行基於連通性的標注；標注區域會聚形成候選人眼點；再對候選點進行基於灰度投影積分的小鄰域微調；然後結合灰度信息和邊緣信息進行人眼點的篩選。
  10. I n order to enhance image edges of different levels at the same time, we prese nt a multi - level fuzzy enhancement algorithm, and its fast computing algorithm is also given in t his paper

    為了同時增強圖像中不同灰度層次的邊緣信息，提出一種多層次模糊增強演算法，並且給出了快速實現演算法。
  11. This article, aiming at the specialties of rmb currency image, puts forward a new method using linear transform of image gray to diminish the influence of the background image noises in order to give prominence to edge information of the image. then the edge characteristic information image is obtained by edge detecting using simple statistics. by dividing the edge characteristic information image in the width direction into different areas, getting the number of the edge characteristic points of different areas as input vectors to random masks and optimized by ga

    文中提出了利用圖像灰度線性變換來抑制背景圖案噪聲的影響，突出圖像邊緣信息；然後採用簡單統計法進行邊緣檢測，得到邊緣特徵信息圖；最後通過對邊緣特徵信息圖在寬度方向上進行均勻劃分成不同的區域，統計不同區域的邊緣特徵點的數目作為神經網路的初始輸入向量，對初始輸入向量用隨機掩碼處理和遺傳演算法進行優化得到最終輸入向量，通過三層bp神經網路分類器進行分類，達到了人民幣識別的目的。
  12. After histogram transform, enhancement, smoothing, pre - segmentation, edge extraction and thinning, we get an image with clear edges. after extracting of feature units, we describe the shape of airports with straight - line segments and distinguish different objects with the length of the lines, which can achieve the computer - aided auto - recognition of airports

    經過直方圖變換、圖象增強、圖象平滑、圖象預分割、邊緣提取和細化后，得到了清晰的邊緣信息圖象，通過特徵基元的提取和識別，用直線段來描述直線狀目標，而用直線段的長度來作為目標定量特徵的描述，可以實現遙感影像機場目標的計算機識別。
  13. The paper recounts implementing thoughts of this system and advances some improved algorithm in pretreating image, for example image enforce, segmentation of image and so on. we get rather satisfying effect by using these algorithms. in initial phase of the system, in order to get the information of field and automobile " s edge, the paper introduces detecting algorithm to confirm end - points of field, improved hough algorithm, and worm - following algorithm to pick up edge. in real - time checking phase, the most importance aim is to identify sign circles, so we advance a qiuck searching algorithm based on threshold

    文中詳敘了系統的實現思路，對于預處理階段採用的圖像處理技術，如圖像增強、圖像分割等，提出了一些相應的改進演算法，取得了較滿意的處理效果；在系統初始化階段，為了獲取場地的端點信息和汽車邊緣信息，分別介紹了自動確定場地端點位置的檢測演算法、改進的hough變換演算法和提取區域邊緣的「蟲隨法」 ；在系統的實時檢測階段，最主要的目的是識別檢測標志圓，為此，文中提出了基於閾值的快速搜索演算法，有效的提高了目標物體區域的提取和識別速度。
  14. In addition, on the basis of rgb - ihs and principle component analysis, this paper carries out a multi - spectral image merge experiment of cbers - 01 with aster, tm and spot, then makes a comparison on cbers - 01 and tm from the information of brightness, texture and edge, and macro characteristics

    基於rgb - ihs變換和主成分變換模式，將cbers - 01與aster 、 tm 、 spot等數據進行多光譜影像融合實驗。另外，展開cbers - 01與tm在灰度信息、紋理信息、邊緣信息及宏觀特點等方面的對比研究。
  15. Some properties of the generalized morphological transform provide the basis for establishing a new morphological sampling scheme for both binary and gray image

    在廣義形態變換性質研究的基礎上所提出的廣義形態采樣方法，能更好地保留圖像的形態信息和邊緣信息。
  16. We provided a new edge detection algorithm based on multiresolution analysis. from experiments, the algorithm can get effective edge information, and improve edge location precision while restraining noise efficiently

    由實驗表明，此方法可以獲得非常細西北工業大學博士學位論文摘要致有效的邊緣信息，在有效地抑制噪聲的同時，提高了邊緣定位精度。
  17. The edge information of cell image is very useful, which is the basis of cell image segment, it can affect the correctness of cell image recognition and analysis directly

    細胞圖像中的邊緣信息是極為有用的，它是進一步進行細胞圖像分割的基礎，直接影響到細胞圖像識別與分析的正確性。
  18. In the image the edges are detected by the different limits in the different parts whose qualities are different

    最後，在不同的區域應用不同的閾值得到圖像的邊緣信息，取得了很好的邊緣檢測效果。
  19. Through using multi - scale characteristic of the edge information and synthesizing the multi - scale edge, the image edge with only one pixel wide was obtained

    結合自適應閾值方法，在每種尺度下分別提取了圖像邊緣；而後利用邊緣信息的多尺度特性，綜合多尺度邊緣得到單像素寬邊緣。
  20. The author pay much time to test the arithmetic on the image photographed by digital camera, so there are much works to do to apply this software in practice

    反之，則誤差會上升，一種可行的改進方案是利用物體的邊緣信息，文中也進行了這方面的嘗試，受時間限制，只進行了簡單的試驗。
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