自動閾值變化 的英文怎麼說

中文拼音 [dòngzhíbiànhuà]
自動閾值變化 英文
automatic threshold variation
  • : Ⅰ代詞(自己) self; oneself; one s own Ⅱ副詞(自然;當然) certainly; of course; naturally; willin...
  • : 名詞1. [書面語] (門坎兒) threshold; doorsill2. (界限; 范圍) threshold
  • 自動 : 1 (自己主動) voluntarily; of one s own accord 2 (不憑借人為的力量) automatic; spontaneous 3 ...
  1. The influence of the cloud droplet spectrum character and the spectrum growth and change is considered, which does not use a cut - off value for conversion from cloud water into rain water process. in the continuous coalescence equation, the particles fall velocity difference is not moved out from the integral, but is integrated in the equation as the function of diameter d to avoid the error of using particles average fall velocity. in the new scheme, generation rate of graupel due to the collection of snow by graupel and the collection of cloud ice by graupel are included

    雲中凝結核ccn的數濃度採用超幾何函數表示;雲水向雨水的轉換過程採用grabowski ( 1999 )的公式,考慮了雲滴譜的特徵和發展對該過程的影響,而不是採用原方案給定的方法描述該過程;對連續碰並方程不再將粒子落速差作為常量提出積分號外,而是直接作為粒子直徑函數在積分號內求解,這樣處理可以迴避使用粒子群的平均落速帶來的誤差;增加了霰和雪、霰和冰晶的碰並微物理過程。
  2. After analyzing the distribution of most attack packet size and the distribution of small packet percentage in normal datasets, a based on small packet threshold adaptive sampling method is proposed to promote the capacity of capturing attack packets. sampling strategy adjusts automatically according to the variation of small packet in order to capture more attack packets

    為了提高攻擊報文的捕獲性能,在分析了攻擊報文大小分佈和小報文在正常數據中的比例分佈的基礎上,本文提出了基於小報文適應采樣演算法,監測小報文的情況態地調整采樣策略,更多地捕獲攻擊報文,為後期的分析和處理打下良好的基礎。
  3. In the image preprocessing that includes image smoothing and linear gray level transformation, the author brings forward a mended linear gray level transformation based on mean of gray value to enhance the image contrast. in the segmentation the paper presents an arithmetic taking the area of the pointers and construction feature of the water meter into consideration, which can extract the part of pointers in the special space of the water meter, and then binarizes image using a dynamic threshold based on the area of the pointer. the design can enhance the recognition rate for the next step

    在預處理中提出了一種基於灰度期望的分段線性換;對水表的圖像分割,提出基於面積和結構信息的二分割,包括基於結構和灰度特徵的哈夫換分割法(指針信息區的提取)和基於指針面積的特徵的分割(指針提取) ;針對指針圖像的非均勻光照、背影等干擾,提出基於多特徵的分區模板匹配法對指針的方向進行識別,從而計算出讀數。
  4. The paper recounts implementing thoughts of this system and advances some improved algorithm in pretreating image, for example image enforce, segmentation of image and so on. we get rather satisfying effect by using these algorithms. in initial phase of the system, in order to get the information of field and automobile " s edge, the paper introduces detecting algorithm to confirm end - points of field, improved hough algorithm, and worm - following algorithm to pick up edge. in real - time checking phase, the most importance aim is to identify sign circles, so we advance a qiuck searching algorithm based on threshold

    文中詳敘了系統的實現思路,對于預處理階段採用的圖像處理技術,如圖像增強、圖像分割等,提出了一些相應的改進演算法,取得了較滿意的處理效果;在系統初始階段,為了獲取場地的端點信息和汽車邊緣信息,分別介紹了確定場地端點位置的檢測演算法、改進的hough換演算法和提取區域邊緣的「蟲隨法」 ;在系統的實時檢測階段,最主要的目的是識別檢測標志圓,為此,文中提出了基於的快速搜索演算法,有效的提高了目標物體區域的提取和識別速度。
  5. The following algorithms are proposed : 1. an algorithm of shot segmentation is proposed. firstly, the data in each frame is quantized in hsv model ; then based on histogram of each frame, the difference of adjacent frames, the difference of cumulate frames and the percentage of the frame difference in a defined window are computed ; furthermore, the adaptive average in a window, the adaptive thresholds and sliding windows are obtained

    具體內容為: 1 .在鏡頭分割中,首先將視頻幀數據在hsv顏色空間下進行量降維,隨后依據直方圖的統計特性,計算連續幀差,累加幀差及窗口幀差比,並以此確定適應窗口均、多個及滑窗口進行突鏡頭和漸境頭分割。
  6. The back - propagation neural network is self - defined. the optimized weights and bias obtained by ga are used as initial weights and bias of the back - propagation ( bp ) neural network. then, the neural network is trained by the variable study rate momentum of bp algorithm, the error goal is achieved by massive experiments

    定義了bp神經網路,將遺傳演算法優好的初始權作為bp網路的權,採用學習率可量bp演算法對神經網路進行了訓練,達到了誤差目標要求,從而實現了bp演算法修正網路權重的目的。
  7. The algorithm is built on the base of color image sub - way segmentation method. according to the hue and saturation, it can segment color image based on a histogram - based bi - threshold iterative. meanwhile, it captures some feature points to measure illumination variant, real - time update segmentation threshold

    本演算法採用彩色圖像的分通道分割原理,以色度和色調為特徵量進行基於直方圖的雙迭代分割,同時利用背景特徵點監測環境光照適應更新分割
  8. When processing the shadow of foreground moving objects, in order to overcome the influence of illumination change of part or integrity in the image, the color model of brightness distortion and chrominance distortion is established to distinguish shaded background, highlight background, original background and foreground objects, and then select the threshold automatically to classify the pixel points in the image

    在處理前景目標的陰影問題時,為了克服了圖像局部或整體的光照的影響,通過建立亮度和色度的彩色模型,來區分陰影背景、高亮背景、普通背景及前景目標,然後選擇對圖像的像素點進行分類。
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