邊緣波噪聲 的英文怎麼說

中文拼音 [biānyuánbōzàoshēng]
邊緣波噪聲 英文
edge-wave noise
  • 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...
  • 波 : Ⅰ名詞1 （波浪） wave 2 [物理學] （振動傳播的過程） wave 3 （意外變化） an unexpected turn of even...
  • 噪 : 動詞1. （蟲或鳥叫） chirp 2. （大聲叫嚷） make noise; make an uproar; clamour
  • 邊緣 : 1 （沿邊的部分） border; edge; fringe; margin; rim; limb; skirt; verge; brink; periphery 2 （靠近...
  1. Multiresolution wavelet is widely used in antinoise application because of the correlation of different layer wavelet coefficients. this paper presents a method called " shifting different layer coefficients " to suppress noise and pick - up the edge

    多尺度小波系數由於其相關性而在去噪中得到應用，本文提出利用多尺度小波系數的移位相關的性質來最大限度的抑制噪聲，提取邊緣。
  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. The famous mallat decomposition algorithm is applied. the correlations between the neighboring wavelet transform coefficients are utilized to restrain noises and the local maxima of the coefficients provide information of image boundaries

    並利用相鄰尺度間小波系數的相關性和一種非線性函數進行噪聲抑制，同時利用小波系數的模極大值來提取邊緣點。
  4. 3 ) for weak noise interferogram or filtered interferogram, dyadic wavelet can be used to detect fringe edges. a gvf snake model was used to link discrete edges, the linked edges were kept well accordance with fringes of phase map. 4 ) phase unwrapping algorithm based on edge detection is suitable to well separated fringes, the unwrapped phase can be rewrapped to the original phase map

    4 ）對于低噪聲情況下或濾波后的干涉條紋圖，在基於邊緣檢測的相位解纏過程中，利用snake模型可以高效準確的實現邊緣點的連接，所連接的邊緣線與干涉條紋很好的吻合，可將連線的精度控制在三個像元。
  5. 2 ) set threshold in stationary wavelet domain to separate edge and noise, estimated wavelet coefficients in texture area to reconstruct the interferogram

    3 ）在靜態小波域設置濾波閾值以區分邊緣和噪聲，根據map準則來確定信號的小波系數，然後重建干涉相位圖。
  6. 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。
  7. 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。
  8. We select a common feature in the image - edge of the object as our research content and from this point we spread our work including the contrast enhancing technologies, using mathematical morphology to restrain noises in image, extracting of the geometric primitives, dwt in edge detection and the border thinning and tracing technologies

    我們重點針對圖像物體的最直觀特徵?邊緣進行研究，以此為出發點，研究了包括水下圖像對比度增強，利用同態學進行水下圖像噪聲去除，直線和橢圓基元的提取，利用小波變換進行邊緣提取以及基於多邊形近似原則的邊緣追蹤技術在內的各種演算法。
  9. 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。
  10. 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。
  11. Secondly : i choose a non - linear filter named hybrid filter which combines linear and nonlinear filters is proposed for print gray image, it performs better than average fil ters and median filters on noise reduction. while retaining edges of an image. i suggest a modified version and fast implementation of this filter improve its performance. because of its reduced computation complexity, this filter excels in real - time tasks

    因為噪聲時常包含非線性問題，針對這種情況，既要抑制噪聲，又要保護圖像邊緣，本文採用一從度指紋圖像上噪處理研究種基於線性，非線性的混合濾波器演算法，該演算法比均值濾彼器，中值加權濾波器，格形濾波器，具有更好的抑制噪聲的能力，不但較好的保持圖像地邊緣，而且能反映圖像的幾何結構和細節特性。
  12. The linear darkness transform method is used to increase the contrastiveness of pictures ; the improved mid - value filtering algorithm and local average method are adopted to protect the edge as much as possible on the basis of noise elimination

    採用線性灰度變換等方法對圖像進行增強，使圖像的對比度擴展。採用改進型中值濾波法和多圖像平均法，在去除了噪聲的基礎上盡可能的保護了邊緣。
  13. Scale space filter can restrain noise and recognize edge reliably in big scale, and can confirm positions accurately in small scale, at last get the true positions of edge by focus processing from big scale to small scale. but traditional canny arithmetic based on guass scale space have shortcomings such as big computing and confirming positions inaccurately

    尺度空間濾波能在大尺度下抑制噪聲可靠的識別邊緣，在小尺度下精確定位，最後由粗及精地進行邊緣聚焦而得到邊緣的真實位置，但是傳統的基於guass尺度空間的canny運算元計算量大，定位不夠精確。
  14. By means of multi - resolution analysis concept for auto - zooming of wavelet transformation, a multi - resolution gaussian gradient operator which is suitable for noisy edge detection is configured. the experiment results show that this method is an automatic rapid and effective target detection method

    該方法利用小波變換的自動變焦的多分辨分析思想，構造了適合的噪聲中邊緣檢測的多解析度高斯梯度運算元。實驗結果表明，該方法是一種快速、有效的自動化目標檢測方法。
  15. Aiming at the characteristics of the marrow cell image, the paper adopts continuous wavelet transform to process image so that main edges can be detected from different angle in the meanwhile original image noise being eliminated

    摘要針對骨髓細胞圖像的特點，採用連續小波變換對圖像進行了處理，在消除原始圖像噪聲的同時，從不同的角度檢測出圖像的主要邊緣。
  16. The conventional methods of edge detection have good effect on clear image, but are sensitive to noise. though mallat used multiresolution wavelet to detect edge of noisy images, it was not effective for much noisy image

    傳統的檢測方法對清晰圖像的邊緣檢測效果很好，但對噪聲相對敏感，盡管mallat用多尺度小波變換來壓制噪聲，可是對于有大量噪聲的圖像，邊緣檢測效果並不好。
  17. The filtered results to a real interferogram showed the proposed method is powerful to interferogram speckle noise reduction, as well as it can preserve fine details in the interferogram that are directly related to the ground topography and maintain phase values distribution

    對一幅干涉相位圖的濾波結果表明，該演算法很好的抑制了斑點噪聲，極大的降低了殘余點的數量，保持了條紋邊緣和相位細節信息，並使絕對相位保持在一定的動態范圍。
  18. In this thesis some nonlinear color - scale morphological filter are designed to filter some noised color images and detect the color edge of image based on max lift decomposition scheme. and the performance index is presented, which implies that the new color - scale morphological filter has better performance

    在本論文中，我們基於最大提升格構造出非線性彩色形態濾波器，並對一些受污染的彩色噪聲圖像進行濾波和進行一些彩色圖像邊緣檢測的工作，所構造出來的彩色形態濾波其具有較好的濾波效果。
  19. The arithmetic expressed in this text solved contradiction between the watermark ' s transparence and the arithmetic ' s maleness, using the inlaid watermark of that arithmetic having goodly transparence, and the result of the experiment shows the arithmetic has goodly maleness to jpeg compress, noise, low channel filter wave, mosaic, signal tone up, secondary watermark, cut and zoom, especially to sharpen, strengthen contrast, strengthen edge, equilibrium, and so on, signal strengthen can hardly effect to get away the watermark

    實驗表明，本文演算法較好地解決了水印透明性與演算法魯棒性之間的矛盾，使用該演算法嵌入的水印具有較好的透明性，同時本文演算法對jpeg壓縮、噪聲、低通濾波、馬賽克、信號增強、二次水印、剪切和縮放等操作有較高魯棒性，特別是銳化、對比度增強、邊緣增強、直方圖均衡等信號增強處理幾乎不影響水印的抽取。
  20. ( 2 ) a wavelet edge detection method which is self - adaptive, multi - scale and anti - jamming has been studies for use in formation processing for ir imaging terminal homing guidance

    （ 2 ）研究了一種用於紅外成像制導信息處理的自適應、多尺度、抗噪聲小波邊緣檢測方法。
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