空間噪聲濾波 的英文怎麼說

中文拼音 [kōngjiānzàoshēnglǜbō]
空間噪聲濾波 英文
spatial noise filtering
  • 空 : 空Ⅰ形容詞（不包含什麼; 裏面沒有東西或沒有內容; 不切實際的） empty; hollow; void Ⅱ名詞1 （天空） s...
  • 間 : 間Ⅰ名詞1 （中間） between; among 2 （一定的空間或時間里） with a definite time or space 3 （一間...
  • 噪 : 動詞1. （蟲或鳥叫） chirp 2. （大聲叫嚷） make noise; make an uproar; clamour
  • 濾 : 動詞（除去液體雜質） filter; strain
  • 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...
  • 空間 : space; enclosure; room; blank; interspace
  1. 2, the optimal designed digital matched spatial filter ( dmsf ) was used to perform real - time optical correlation, which not only has the merit of large storage and renewability as well as common digital filter, but also has the virtue of high correlation s / n which the holographic optical filer owns

    2 、優化設計的數字空間匹配濾波器，既有數字濾波器的大存儲容量並可實時刷新的特點，又有全息光學濾波器高相關s n的優點。對于處于嚴重背景噪聲干擾下的多個畸變目標，也可獲得高相關s n 。
  2. Though there are many methods in the field of speckle filtering, it lacks deep study of methods selection with different images and in different atr missions

    本文對採用空間域常用的濾波演算法、時間頻率域相結合的濾波演算法濾除sar圖像噪聲的結果進行了比較。
  3. Spatial noise filtering

    空間噪聲濾波
  4. 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。
  5. The deducing of the algorithms has very practical value in state estimation for systems under the complex environments. in the instance of complicated multi - channel system with multiplicative noise, the dissertation discusses the optimal estimation of state filtering and smoothing and the stochastic input signal with the technique of innovation and projection theorem of hilbert space. the main study of the dissertation is introduced as follows : 1 according to the practical requirement of complicated multi - channel system with multiplicative noise, the dissertation broadens rajasekaran filtering algorithm

    本文針對復雜多通道帶乘性噪聲系統，應用新息的方法和hilbert空間的投影定理，對狀態最優濾波和平滑估計、隨機輸入信號的最優估計等理論與應用方面的問題，進行了進一步的探討，著重完成了以下工作：第一，根據復雜多通道乘性噪聲系統問題的實際需要，推廣了rajasekaran濾波演算法。
  6. The mutual excitation between the local stimuli satisfying the rules of curve distribution ( position and orientation continuity ) called curve self - excitation is a useful method to discover and enhance curves and to inhibit noise. the present approaches used parallel connection structure division which did not acquire satifactory effect. this paper presents the idea of random time division and dynamic self - excitation, for different curves performing random time - division searches, time coincidence filtering, and self excitation accumulation. the principle is given

    利用空間分佈滿足曲線規則（位置和定向連續性）的局部刺激之間的相互激勵，稱為曲線自激，這是發現視覺邊界曲線和抑制局部噪聲的有效手段.過去的工作均採用并行結構區分的計算方式，曲線自激並沒有達到滿意的效果.本文提出隨機時分動態自激的計算方案，對不同的曲線實施隨機時分的搜索、時間一致性濾波、和自激積累等機制.本文給出了實現的原理方案
  7. By augmenting the state vector, linearizing the nonlinear augmented state space model and adopting the equivalent measurement equation, the problem of strong tracking extended kalman filtering of nonlinear systems with additive combined colored noise can be converted into the problem of strong tracking kalman filtering of linear systems with correlated process and measurement noise

    通過增廣狀態向量、線性化非線性的增廣狀態空間模型和採用等效量測方程，將加性復合有色噪聲干擾下非線性系統的強跟蹤濾波問題轉化為過程與量測噪聲相關情況下線性系統的強跟蹤卡爾曼濾波問題。
  8. Compared with kalman filtering, the unknown definite disturbance with finite energy instead of white noise drives the state - space system in h filtering. compared with the time - variant filter and the first - order filter, h filter has preferable robustness

    與kalman濾波相比， h _濾波採用未知的具有有限能量的確定性干擾代替白噪聲驅動狀態空間系統；與時變濾波器和一階濾波器相比， h _濾波器具有較強的魯棒性。
  9. In the motion detection a method which is based on time and space is used for it can detect harmful invade object in spite of surroundings inteferre. in addition, after got the image of objects, the rectangle frame technique is used to fill the hole. in my design another part is multi - objects image tracking which is a new technique and it integrates image processing, automatic control and computer science. this technique can automatically acquire objects from image signal, get objects " position information then track them with the aid of dome

    本文中提出了若干有價值的新思想、新方法，完成了以下內容：首先，提出了數字視頻監控的功能結構，描述了數字監控系統的組成、特點和發展現狀；然後研究了適合於跟蹤監控的攝像機坐標系，提出了一種雙角度攝像機坐標以適合本系統的實際應用；討論現場圖像的預處理，其中包括灰度級變換、噪聲濾波和圖像恢復；在運動監測中，比較了幾種常用的運動檢測方法的優缺點，提出了一種基於時域和空間域的圖像檢測方法；另外，在得到運動物體的圖像時，採用矩形框技術填充由於差分圖像造成的孔洞，此方法簡單可靠，有較大的實用性。
  10. The present research status and some methodologies about the 3d reconstruction and visualization are introduced in this paper, while three important contents, i. e., image pre - processing, 3d reconstruction and 3d reveal are more concerned. image pre - processing includes interpolating, filtering, gray adjusting, rotating, zooming, selecting voi and reducing elements which are very important for the next step. the work of this paper use marching cubes ( mc ) algorithm to reconstruct the 3d object after analyzing the volume rendering method and the surface rendering method

    在二維圖像預處理方面討論了濾波、灰度修正、旋轉和縮放、感興趣區域voi （ volumeofinterest ）的提取、減少體數據集中象素的數目、層間插值等，這些處理可以減少噪聲的干擾，使物體的特徵更加突出、需要處理的數據大大減少、節省存儲空間、加快繪制速度，這些處理對於後一步的三維重建是非常必要的；在三維重建方面，分析了面繪制和體繪制各自的優點和缺點，選取了面繪制中經典的mc演算法實現三維重建；在三維顯示中實現對體數據的顯示、剝離顯示、旋轉、等值面顯示、沿x 、 y軸的剖切顯示、光照顯示等效果。
  11. The result indicates that the dimensional structure filter edge method can obtain a more intact and less noise image segmentation

    試驗結果表明：引入空間濾波器的拉普拉斯運算元可在保證高實時性的前提下獲取低噪聲的且更加完整的邊緣檢測結果。
  12. The synchronization filter filtrates the thin square noise when the color threshold is depressed to obtain a more intact detection

    邊緣檢測時通過降低差分計算的顏色閾值獲取更為完整的檢測結果，同時利用空間濾波器去除由顏色閾值的降低所引發的大量小面積噪聲。
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