filter edge 中文意思是什麼
filter edge
解釋
流線式濾器-
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。 -
The simulation result has indicated that using the method of two - value filter can solve the question perfectly, and the question is the edge discontinuity of traditional image classify base on region ; the image fusion which make use of edge gradually change is sententious and efficient ; the color image reinforcing which realized by grey statistics histogram equalization method has reduced the need of environment brightness in virtual photographing system
模擬結果表明，利用二值濾波處理較好地解決了傳統的基於區域的圖象分類中的邊緣不連續的問題；利用邊緣漸變方式實現的圖像融合簡潔有效；由灰度統計直方圖均衡所實現的彩色增強處理降低了虛擬照相系統對環境照度的要求。 -
2. based on studying canny operator and log operator, we take wavelet edge detection in allusion to smoothing image extremely and losing weak edge existed in gaussian filter
（ 2 ）在分析canny邊緣檢測演算法和log邊緣檢測演算法的基礎上，針對高斯濾波器存在過度光滑圖像和丟失緩變邊緣的問題，採用基於小波變換的邊緣檢測演算法。 -
There are many methods of edge detection. according to practical task, we choose some classical methods of edge detection including first differential ( roberts operator, sobel operator and prewitt operator ), second differential ( laplacian operator and kirsch operator ), log filter and canny operator. they are studied in theory and practice applying
邊緣檢測有很多方法，根據課題實際背景，選擇了幾種比較經典的邊緣檢測方法，即一階運算元（ roberts運算元、 sobel運算元、 prewitt運算元） 、二階運算元（ laplacian運算元和kirsch運算元） 、 log運算元和canny運算元，對他們進行理論和實際應用研究。 -
Firstly, the classic methods of image edge detection are introduced. secondly, the technique of linear filter and its application is discussed. at last, wavelet, which has multi - scale method, is researched and applied to image edge detection, some good results are gained correspondingly
介紹了經典的圖像邊緣檢測方法；討論了線性濾波技術及其在圖像邊緣檢測中的應用；研究了具有多尺度思想的小波運算元，並將其應用到圖像邊緣檢測中。 -
Its main steps are : 1 median filter to filter yawp ; 2 edge detecting ; 3 figure thinning ; 4 the calculation of center point and some other parameters, we put forward a new method with which we firstly give a self - adjust liner transform then we use robert edge detecting and we also give an four - adjacent - field method for edge thinning here ; secondly we repeat four steps above and use the center point as focus in the fourth image. after this we track the forecasting center point by kaveman filter and select two blocks for locating. lastly from the fifth photo on we mainly deal with the arithmetic for matching locating and recognition of focus except kaveman filter
然後在第四幅圖像中：重復上述四步，以提取的形心為瞄準點，在選定瞄準點以後，為了在後續圖像中匹配、定位、識別瞄準點，我們使用卡爾曼濾波求取跟蹤預測的形心點並在瞄準點的周圍選取兩個匹配定位塊：從第五幅圖像開始，除了使用卡爾曼濾波求取跟蹤預測形心點以外，主要執行匹配、定位、識別瞄準點的演算法。 -
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。 -
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。 -
Abstract : the image of arc zone of flux - cored underwater wet welding was developed with underwater ccd camera system and composed filter technology. the discussion is mainly focused on the theory of edge detection. an image edge detection method based on median filter and grads algorithm was developed to detect the arc burning zone and arc bubble zone efficiently, which laid the foundation for further analysis of underwater wet welding arc mechanism and process control
文摘:通過復合濾光技術和水下ccd攝像系統，採集出了藥芯焊絲水下濕法焊接電弧區域圖像，重點論述了邊緣檢測理論，確定了基於中值濾波和梯度運算元的電弧區域圖像邊緣檢測方法，有效地區分了電弧燃燒區域和電弧氣泡區域，從而為水下濕法焊接電弧的機理分析及水下焊接過程式控制制奠定了基礎。 -
This system can be used for ar, bs, high reflectance mirror, edge filter, bandpass filter, window for laser, telescope film etc
已經在多家用戶成功應用於寬帶增透膜、分光膜、激光器窗口、望遠鏡紅膜等膜系監控。 -
As the key component of multiplexer / demultiplexer, optical filter technology has been fueling great interest with the emergence of wide range tunable laser source, all - wave fiber, and wide band optical amplifiers, which is promoting dwdm to a leading edge of optical fiber communication
隨著寬可調諧激光光源、全波光纖和超寬帶光放大器的出現，密集波分復用日益成為光纖通信的主流技術，作為復用/解復用器核心的光濾波技術備受關注。 -
A simulation example for edge - detection is given to demonstrate validity of the adaptive filter. 3
一個模擬實例表明這種用於邊緣檢測的自適應濾波器是有效的。 -
After studied for several decades, there have appeared several classical edge operators, such as roberts, sobel, laplacian, canny and log. meanwhile, there also have presented several classical algorithms of image restoration, such as inverse filter, wiener filter and constrained least squares filter
經過多年的研究，已經形成了roberts運算元、 sobel運算元、 laplacian運算元、 canny運算元、 log運算元等經典的邊緣檢測運算元以及逆濾波、維納濾波、約束最小二值濾波等經典的圖像恢復方法。 -
Though avoiding noise disturbance, this method will lose some weak edge. so we take adaptive filter to sharp image edge in order to avoid losing image weak edge
採用自適應平滑濾波銳化圖像邊緣，再進行小波邊緣檢測演算法，提出改進的基於b樣條小波變換的邊緣檢測演算法。 -
In this thesis, the control law based on adaptive filter for smart rotor with actively controlled trailing edge flap is researched
本文主要研究基於自適應濾波的主動控制后緣附翼智能旋翼控制律設計問題。 -
The approximate part get rid of high frequency through the filter, so it can detect the edge which the original image can ' t detect
經濾波后近似部分去除了高頻分量，因此能夠檢測到原圖像所檢測不到的邊緣。 -
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。 -
But in practical image, edge detection becomes a problem because of the using wavelet to transform the image into approximate express that undertake the filter of the high frequency part by original image
提出一種利用小波把圖像分解成近似部分和細節部分，近似部分是原圖像對高頻部分進行濾波所得的近似表示。 -
To develop the system to an automatic system, we have studied how to improve measurement precise by image processing after fast aiming. we use median filter to filtrate noise, use sobel arithmetic to detect the edge, and use kitchen - rosenfeld method to detect corners
第一種方法著重研究了視頻採集和屏幕懸浮透明瞄準坐標系的同步顯示以及提高瞄準精度的途徑；第二種方法則著重研究快速瞄準后通過圖像處理技術自動獲得誤差補償數據。 -
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。
分享友人