gaussian filter 中文意思是什麼

gaussian filter 解釋
高斯濾波器
  • gaussian : adj. 高斯的。
  • filter : n 1 濾器，濾紙，過濾用料[砂、炭等]。2 【無線電】濾波器；【物理學】濾光鏡，濾色器。vt 過濾，用過濾...
  1. Improved bit - allocation algorithm for anisotropic gaussian filter

    一種改進的各向異性高斯濾波演算法
  2. 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。
  3. Apply to this layer filter - blur - blur. copy it several times and blur out each of them, setting different radius with filter - blur - gaussian blur

    層類型更改為柔和光。新建層，使用筆刷工具繪制大小不同的一些點點，作為星星。
  4. In the non - gaussian filtering algorithm, the measurement errors incorporating the multipath effects are modeled as the non - gaussian noise, and the filter are modified according to the score function. this algorithm, designed to track low - elevation targets, avoids the degrading of me performance because of ;. c non - gaussian noise in the filter

    在非高斯演算法中，由於多徑誤差的影響，目標高度方向上的測量誤差表現為非高斯噪聲，首先建立觀測噪聲的非高斯模型，然後利用非高斯噪聲下的濾波演算法跟蹤低空目標。
  5. When sampling period is very low or close to ideal case for signal detection in additive gaussian white noise ( agwn ), the detection circuit with matched filter is optimal

    摘要在加性高斯白噪聲信號檢測中，在采樣周期極小或接近理想的情況下，連有匹配濾波器的檢測電路是最佳的。
  6. Copy now the mask layer, applying to it filter - blur - gaussian blur

    復制面膜層，點擊濾鏡-模糊-高斯模糊。
  7. The paper also analyzes synthetically the effects of some smooth filters prior to image segmentation and indicates that gaussian lowpass filter, a alterable scale filter, is a good choice to establish a balance between the reservation of image details and removal of noise. on the basis of current investigation of actuality and trend of image segmentation at home and abroad, the paper adopts marr operator, called by optimal edge detection to improve greatly efficiency of image segmentation and edge abstract. the sparse edge

    論文在分析當前圖象分割的現狀和趨勢的基礎上，採用被稱為最佳邊緣檢測運算元的marr演算法，使圖象分割和邊緣提取的準確性得到了很大的提高；利用人機交互輔助的方法來搜索已經檢出的稀疏邊緣點，並用最小二乘法擬合這些邊緣點，使裝配間隙寬度的測量的精度和準確性得到了極大的保證。
  8. Most car navigation systems estimate the car position from the dead reckoning and the global positioning system ( gps ). however, in combining the gps and dead reckoning, the kalman filter can be used. the estimated position by the kalman filter is proved to be optimal if the system is linear and the noise is white gaussian

    車載自主導航系統主要是利用gps / dr （全球定位系統/航位推算）導航定位器來提供位置和速度信息。雖然用gps / dr組合導航系統進行車載導航，能夠有效的減少由gps導航所造成的誤差。
  9. On this basis a nonlinear filtering technique of sequential monte carlo particle filter based on bayesian approach is emphatically disussed which the posterior distribution of the state variables can be represented by a set of weighted particles, so the method base advantages over the above algorithms in robustness and accuracy for nonlinear non - gaussian filtering problems

    在此基礎上重點論述了一種基於貝葉斯原理的序貫蒙特卡羅粒子濾波技術，該方法通過粒子的加權和表徵后驗概率密度，獲得狀態估值，在處理非線性非高斯系統的狀態估計問題時精度逼近最優，魯棒性更好。
  10. Adopting an anti - gaussian liquid absorption filter lens, the uniformi t y of radial intensity of laser source is realized

    應用反高斯分佈的液體吸收濾光鏡，實現了高斯光束強度的徑向均勻化。
  11. Apply then filter - blur - gaussian blur and change the layer type on multiply

    點擊濾鏡-模糊-高斯模糊，層類型設置為疊加。
  12. Copy the layer now ( layer - duplicate layer ) and blur it out with filter - blur - gaussian blur

    將圖層復制（圖層-復制圖層） ，點擊濾鏡-模糊-高斯模糊，參數如下。
  13. Place the indicated layer lower than the basic stones ' layer and blur it out with filter - blur - gaussian blur

    黑色層點擊濾鏡-模糊-高斯模糊，如下設置，模糊后的圖片放到原始鉆石層下方。
  14. To represent the textile shadow, just copy the layer and blur it out : filter - blur - gaussian blur. place the blurred layer under the textile one

    製作布布的陰影效果~我們將布布層復制，並將復制的層進行濾鏡-模糊-高斯模糊，然後將模糊過的層放在原層下面。
  15. Firstly, according to the characteristic that the doppler frequency shift signal can be approximated as a single sinusoid signal, the extended sinusoid signal retrieval ( pisarenko and esprit ) methods are presented and signal state and measurement formulations are developed, so the kalman filter recursive method is got. the brief introduction of low velocity moving target doppler frequency shift signal wigner - ville transformation and wavelet transformation expression are presented in this paper. secondly, because the clutter is gaussian distribution, cumement and high - order spectrum based methods are presented and the simulation results prove their good performance to suppress gaussian clutter in low velocity moving target doppler frequency shift signal processing

    一個方面是根據低速目標的多普勒信號可簡化為單一正弦波形式這一特點，得到了擴展的高斯色噪聲背景下的諧波恢復演算法，即高斯色噪聲中的pisarenko諧波恢復法和旋轉因子不變法（ esprit ） ；並推導了信號的狀態方程和觀測方程，進而得到基於卡爾曼濾波的遞推演算法對信號進行提取；本文還簡單的介紹了低速運動目標的多普勒頻移信號的wigner - ville變換與小波變換；另一個方面是針對雜波服從高斯分佈這一特點，提出了對接收信號求累積量和高階譜來對高斯雜波進行抑制。
  16. A serial generalized morphological filter with multi - structural element is used suppression white gaussian noise or pulse noise embedded in the speech signal. the paper compares morphological speech enhancement algorithm with classical approach on the feature of speech in the frequency domain and time domain

    本文針對形態學在數字語音信號增強中的應用演算法研究，採用多結構元素的廣義形態濾波器，主要用於對被高斯白噪聲或正負脈沖噪聲污染的語音信號的濾波增強，深入研究形態學濾波的語音增強演算法在語音時域、頻域對語音特徵參數的影響。
  17. It begins form the discussion the knowledge of the gaussian filter and the laplacian operator, which are the base of the marr method. and it is followed by the detail discussion of such as : the 2g （ laplacian of gaussian ) filter, the template log ( laplacian of gaussian ), the meaning of laplacian of gaussian in human vision, edge detection and neurophysiology. with different template to different size of target, the small target can be separated from the background by this small infrared target detection method

    從marr演算法的理論基礎? ?高斯平滑濾波器與拉普拉斯運算元的相關知識以及Ｍ ａ ｒ ｒ的計算視覺理論基礎開始，進行了2g （ laplacianofgaussian ，高斯?拉普拉斯）濾波器、 log （ laplacianofgaussian ，高斯?拉普拉斯）模板以及2g濾波器在人類視覺、邊緣檢測、邊緣處理的物理意義以及神經生理學意義方面的分析討論，提出了易於fpga （ fieldprogrammablegatearray ，現場可編程門陣列）實現的基於marr計算視覺的紅外圖像小目標檢測方法。
  18. Firstly, we directly use the motion vectors of macro - blocks defined in mpeg - i / ii compressing standards and filter the immobile macro - blocks. then, we build a skin color model in ycbcr color space using the convergent property of skin color, and we present the gaussian model skin recognition method and positive - negative look - up table method in details. and we analyze the texture of skin after wavelet transform and present a bayesian method based texture recognition method and a high texture filtering method

    根據皮膚的運動性，首先直接利用mpeg -中的壓縮標準中有關宏塊運動預測的方法，提取宏塊的運動矢量，將沒有運動的宏塊過濾掉；然後，利用皮膚顏色的聚合性，在ycbcr顏色空間建立了皮膚的顏色模型，並分別闡述了基於高斯分佈模型的皮膚檢測法和正反概率表方法；最後，通過對皮膚進行小波變換后的紋理進行統計后，發現有效的利用皮膚紋理特徵，可以比較有效的過濾掉那些具有類似於皮膚顏色的背景，分別闡述了基於貝葉斯方法的紋理檢測方法和高紋理過濾法。
  19. Recently, withthe rapid improvement of performance of digital processor, sequential monte carlo ( smc ) method has a wide range of application in engineering, especially in signal processing, statistics, and econometrics etc. the time varying systems can be stated in the form of a dynamic state space model. for linear models and gaussian noise, the kalman filter provides analytical expressions for posterior filtering

    一般的時變系統都可以被看作是一動態狀態空間模型，對于線性高斯模型，卡爾曼濾波可以給出后驗密度函數的解析解；而對于非線性非高斯模型，我們則無法得到它的解析解，在這種情況下則可以使用序列蒙特卡羅方法來對其進行近似。
  20. This method was divided into 4 steps : wiping out random noise by mean filter, reducing gaussian noise by gaussian filter, balancing brightness difference between stereo image pair through histogram equalization, and enhancing image edges and details by laplace sharpness

    此方法分為4個階段：用均值濾波去除隨機噪聲；用高斯濾波去除高斯噪聲；用直方圖均衡化法平衡立體圖對間的亮度差異；用拉普拉斯銳化增強圖像的邊緣和細節。
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