邊緣聲影 的英文怎麼說

中文拼音 [biānyuánshēngyǐng]
邊緣聲影 英文
acoustic marginal-refracted shadow
  • 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...
  • 影 : Ⅰ名詞1 （物體擋住光線后映出的形象） shadow 2 （鏡中、水面等反映出來的物體形象） reflection; image...
  • 邊緣 : 1 （沿邊的部分） border; edge; fringe; margin; rim; limb; skirt; verge; brink; periphery 2 （靠近...
  1. The digital information is easy to process by pc. this paper introduces the stereo matching techniques in msv system, including image pre - processing, feature abstraction, stereo matching and depth information acquiring. in order to obtain images easy to detect objects " edges, images have to processed by the techniques such as guass smoothing and image enhancement

    針對顯微圖像的特點，對圖像進行了高斯平滑和圖像增強處理，有效的抑制了隨機噪聲對圖像處理的影響，提高了物體與背景的對比度，有效的實現了物體與背景的分離，為邊緣檢測特徵提取，立體匹配提供良好的圖像信息。
  2. After the algorithms of phase unwrapping is studied, a new phase unwrapping method with flexible marking points is proposed. thus, the effects of noise, height mutation and also shadow can be avoided

    研究了相位展開演算法，提出了基於邊緣檢測的柔性多標記點解相方法，克服了傳統解相方法在遇到噪聲時的不足之處，初步解決了高度突變、陰影對相位展開的影響。
  3. The effect of natural background and noise in infrared image, fuzzy edge of infrared object, make it difficult to segment and label artificial object in natural background

    自然背景復雜的紋理特徵和紅外圖像中的噪聲影響，以及紅外目標模糊的邊緣，給紅外目標的邊界檢測和分割帶來一定的困難。
  4. 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。
  5. In this dissertation, we also use morphological opening operation to get rid of particle noise and reduce the effects of the tiny " thorn "

    本文還用數學形態學的開運算方法去除了顆粒噪聲，並降低了細小邊緣「突剌」的影響。
  6. On the base of the analysis, we build up the vector fields of neighborhood variation ; put our emphasis on the description of the image edges and the domains of visual similar grey - level with the vector fields. after that, we find out the two methods used to detect the edges, the one with the biggest vector field, and the other with the perpendicular vector - pair of the biggest variation difference. the neighborhood size has got the great influence

    在此基礎上，提出了基於鄰域灰度變化矢量場的圖像分割思想;建立了圖像鄰域灰度變化矢量場，並重點分析了鄰域灰度變化矢量場與圖像視覺邊緣、區域等特徵之間的關系;建立了最大鄰域灰度變化矢量的邊緣檢測運算元模型，基於鄰域灰度變化矢量場最大正交差異對的邊緣檢測運算元及區域檢測運算元模型;分析了鄰域選擇對邊緣擴展、噪聲抑制的影響。
  7. 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。
  8. This paper clarifies image collect automatically process of multi - channels, and pre - processing process of original image in order to noise reduction. in image processing, method as follows will be introduced in this paper : a method combining image threshold iterative segmentation with threshold interpolation, edge detection operator sobel and log, edge linking method using delation operator based on mathematical morphology, using boundary tracking and projection method in edge distill process. through this method, measurement of wheelset will be met precision demand

    本文闡明了圖像的分通道自動採集過程，以及對採集到的原始圖像進行預處理過程，達到圖像去噪聲的目標，本課題採用了閾值分割中迭代閾值和閾值插值相結合的方法， sobel運算元、 log運算元邊緣檢測演算法，基於數學形態學的膨脹運運算元進行邊緣斷點連接以及目標提取中的投影法和邊緣跟蹤方法，使得提取輪對圖像邊緣達到測量精度的要求。
  9. But the detection speed is quite low. and edge pixels and strong noise are ignored entirely, or segmented to change type or unchanged type randomly, so that the detection precision is sure to be affected

    但是運算量大，速度慢，同時又忽略差異圖象邊緣像素和強噪聲點，或簡單地判給變化或非變化類別，給圖象變化檢測精度帶來一定程度的影響。
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