noise detection threshold 中文意思是什麼

noise detection threshold 解釋
噪聲檢出閾,噪聲探測閾
  • noise : n 1 聲音，聲響。2 叫喊；嘈雜聲，噪音；喧鬧聲；吵鬧，騷動，騷擾。3 〈古語〉謠言，風聲。4 〈美國〉...
  • detection : n. 1. 探知；發現，發覺；敗露。2. 【化學】檢定，檢查；【電訊】檢波。
  • threshold : n. 1. 門檻；入口，門口。2. 【心理學】閾限。3. 界限，限度。4. 【物理學】臨界值，閾。5. 入門，開始，開端。
  1. Combining the basic laws of psychophysics and signal detection theory, we use two - alternative forced - choice ( 2afc ) to study the threshold change of human electric sense under different noise levels

    在心理物理實驗中，結合心理物理學和信號檢測論的基本原理，採用了二間隔的強迫選擇法（ 2afc ）作為實驗方法，研究不同噪聲量級情況下人體電感覺閾值的變化。
  2. 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。
  3. 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。
  4. There are two ways to enhance the radar ' s detection performance : ( 1 ) for certain signal to noise ratio, choose a optimum detection threshold, whose false decisions producing minimum cost under the preset cost rules ; ( 2 ) basically reduce the false decision probability by increasing echo ' s snr

    雷達在噪聲背景中檢測信號是一個概率問題，提高雷達的檢測能力可歸結為如下兩個途徑： （ 1 ）在信噪比一定的情況下，選擇一最佳門限，使其在一定風險準則下錯誤判決產生的「代價」最小。 （ 2 ）提高回波信號的信噪比，從根本上減小錯誤判決的概率。
  5. Entropy of an image is to express the smoothness or homogeneity of the image. while computing in a local window, if there exist edges, the local image will not be homogenous, variation of the grayness will be sharp and the entropy obtained will be low. otherwise, the entropy will be high. given the threshold of entropy, it can be determined whether or not exist edges. because entropy operator is sensitive to noise, the effect is bad if it is directly used to detect edges. in view of the deficiency, the paper comes up with an edge detection method in which entropy operator is combined with noise removal. if the entropy computed is higher than the threshold, it will be necessary to determine whether it is caused by noise or by edges. thus edge detection and noise removal can be made at the same time. with this method satisfactory effect has been achieved by experimenting upon image with low ratio of signal to noise

    圖像的熵用來刻劃圖像的平滑性或均勻性.在圖像的局部窗口中計算時，如果窗口中存在邊界，則窗口中的圖像不均勻，其灰度變化急劇，計算出的熵小；反之熵大.設定熵的閾值，即可判斷是否存在邊界.由於熵運算元對噪聲很敏感，直接用它進行邊界檢測，效果很差.文中針對這一缺陷，提出將熵運算元與去噪相結合的邊界檢測法，如果計算出的熵大於閾值，要判斷是噪聲的出現所引起，還是邊界的出現所引起，這樣，邊檢測邊界邊去噪聲.用該方法對信噪比較低的圖像進行實驗，得到了滿意的效果
  6. Abstract : the threshold algorithm of the target detection is often used to detect target echo signals. its performance is based on signals - noise ratio. when signals - noise ratio is great than 6. 7, the target can be detected. in order to increase the signals - noise ratio, matching filter is often used. if the system is narrow band system, the noise is color noise and matching filter cannot be used. therefore, the signals - noise ratio cannot be increased. however, the geometrical characteristic of the laser echo signal is different with the noise. this paper advises the algorithm that detects the target by the geometrical characteristic. when signals - noise ratio is great than 2, this algorithm can detect target. this algorithm has been used in practice

    文摘:目標檢測的閾值法經常用於檢測目標的回波信號.它的性能取決于信噪比，當信噪比大於6 . 7時，能夠檢測出目標.為了提高信噪比，經常採用匹配濾波器.如果系統是窄帶系統，噪聲為色噪聲，無法使用匹配濾波器，不能提高信噪比.激光回波信號的幾何特徵不同於噪聲.提出了一種利用這種幾何特徵檢測目標的演算法.當信噪比大於2時，該演算法能夠檢測出目標.該演算法已經實際應用
  7. 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。
  8. 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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