time edge effect 中文意思是什麼

time edge effect 解釋
時間邊緣效應
  • time : n 1 時,時間,時日,歲月。2 時候,時刻;期間;時節,季節;〈常pl 〉時期,年代,時代; 〈the time ...
  • edge : n 1 刀口,(刀)刃;鋒;端;銳利。2 邊,棱,邊緣,邊界,界線,界限。3 優勢,優越條件。4 (聲調、...
  • effect : n 1 結果。2 效能,效果,效力,效應,作用,功效;影響。3 感觸,印象;外觀,現象。4 旨趣,意義。5 ...
  1. Recent study of the kilohertz quasi - periodic oscillations ( qpos ) in low mass x - ray binaries ( lmxbs ) indicates that the radiation force, other than the magnetosphere and disk interaction and the general relativity ( gr ) effect setting the inner disk edge, serves as the disk truncation mechanism on shorter time scales. some results and discussions are presented in this paper

    最近對低質量x射線雙星中的千赫茲準周期振動的研究表明,是輻射壓力,而不是盤和磁球的相互作用以及處于盤內邊界的廣義相對論效應在短時標的盤切斷機制上起作用.本文給出了一些研究結果及討論
  2. The solution formula of dwell time is deduced by using the pulse iteration method and the smoothing fourier transition method, and the formula can be simplified referring to workpiece shape. according to the anastomotic status of the tool and workpiece surface, we present the new model of the inherent relation among local pressure density, removal rate, convergence ratio and residual errors, and the corresponding formulas are given. the forming cause of the edge effect in the polishing process is analyzed, and the means which reduces the edge effect is put forward

    2 、針對計算機控制光學表面成形( ccos )的加工方式、誤差收斂特點,研製了去除函數呈高斯分佈的雙轉子結構研拋模;採用脈沖迭代法、平滑因子傅立葉變換法推導出駐留時間的演算法,求解過程中根據工件面形的特點作了各種形式的簡化;提出了工件表面和研拋模的吻合誤差與局部壓強、材料去除率、收斂比之間內在關系的數學模型,並推導出相應的計算公式;分析了邊緣效應產生的原因,在加工過程中採用相對壓力因子對去除函數進行修正,可以消除邊緣效應的影響。
  3. 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
  4. Though the two new methods can improve the effect of edge detection, they need the gabor and wavelet transforms which make the computation complex and cost much time and are not easy to used in real - time application. this paper presents an efficient fast approach to compute real discrete gabor coefficients by applying the fht ( fast hartley transform ) in gabor transform, also the fft ( fast fourier transform ) is proposed to used in compute the wavelet coefficients

    雖然gabor和小波的引入能提高邊緣檢測的效果,但往往因其計算的復雜性而受到限制,本文提出了一種有效的離散gabor變換演算法來計算有限離散實數信號的gabor系數,同時,也給出了基於fft的小波變換快速演算法,為理論的快速實現提供了可能性。
  5. 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;在系統初始化階段,為了獲取場地的端點信息和汽車邊緣信息,分別介紹了自動確定場地端點位置的檢測演算法、改進的hough變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,文中提出了基於閾值的快速搜索演算法,有效的提高了目標物體區域的提取和識別速度。
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