邊緣圖案 的英文怎麼說

中文拼音 [biānyuántúàn]
邊緣圖案 英文
border design
  • 邊 : 邊Ⅰ名詞1 （幾何圖形上夾成角的直線或圍成多邊形的線段） side; section 2 （邊緣） edge; margin; oute...
  • 緣 : Ⅰ名詞1 （緣故） reason 2 （緣分） predestined relationship 3 （邊） edge; fringe; brink Ⅱ動詞（攀...
  • 圖 : Ⅰ名詞1 （繪畫表現出的形象; 圖畫） picture; chart; drawing; map 2 （計劃） plan; scheme; attempt 3...
  • 案 : 名詞1 （長桌） table; desk 2 （案件） case; law [legal] case 3 （案卷; 記錄）record; file 4 （提...
  • 邊緣 : 1 （沿邊的部分） border; edge; fringe; margin; rim; limb; skirt; verge; brink; periphery 2 （靠近...
  1. The procedure functions in the compare between partial image of dynamic collection and corresponding image of the airscape. in chapter 5, basing on the analysis of correlative theory of digital image, we introduce the improved fasted - down algorithm and simulative anneal algorithm, which applies to nn calculation, an d bring forward the unique and effective means, correlative original value evaluation. basing on the combination of correlative arithmetic, a stable, high - speed and exact correlative arithmetic is formed, which makes it possible to apply computer vision detection of single - needle quilting in industrial production

    本文展開研究並取得一定成效：構建了基於pci總線的微機實時圖像採集系統；在採集的布料總圖（鳥瞰圖）的基礎上，通過數字圖像的數字濾波、圖像增強、邊緣檢測等處理，提取布料圖像的邊緣，對輪廓的矢量化的象素點進行搜索，得到相應的圖案矢量圖，從而確定絎縫的加工軌跡，生成加工指令；在進給加工過程中，主計算機對動態局部圖像與總圖（鳥瞰圖）的對應部分進行圖像相關的匹配計算，應用數字圖像理論，結合神經網路計算的改進最速下降法和模擬退火演算法，提出獨特而有效的相關迭代初始值賦值方法，形成穩定、高速和準確的相關運算，實現單針絎縫視覺測量和自動控制。
  2. An electron beam does not diffract at atomic scales, so it does not cause blurring of the edges of features

    由於電子束在原子尺度不會繞射，所以它不會使得圖案細節的邊緣模糊。
  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 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。
  4. 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。
  5. Firstly, introduce the design of sonar display, trace - to - trace correlation and gray scale display, develop a new method of gray scale based on signal noise ratio. and next, discuss array signal processing and image processing in order to improve the display. finally, develop a software of sonar display simulator based on object oriented programming, with which the sonar display console is simulated and the performance of sonar signal is tested

    本文工作圍繞如何提高聲納顯示效果，介紹了聲納顯示屏幕的設計方案，論述了「跡跡相關」技術、灰度顯示技術在聲納顯示中的應用，提出了基於信噪比的灰度級別劃分方法；結合陣列信號處理、圖象處理技術，本文引入了子帶峰值能量檢測演算法、圖象邊緣檢測演算法，進一步提高了聲納檢測性能；基於面向對象的程序設計方法，設計了聲納顯示平臺軟體，為模擬聲納顯示、檢驗聲納信號顯示性能提供了模擬環境。
  6. The paper forms the three information measures into measure vector as the input of cmac - cerebellar model articulation controller neural network and proposes a method of edge detection based on information measures and cmac. the edge contours generated by this method is very legible. the method has a high runtime performance and improves the resistance to noise

    本文將圖像的三個信息測度作為分量組成邊緣特徵的測度向量，作為小腦模型神經元網路? cmac的輸入，提出一種基於信息測度和cmac網路的邊緣檢測方法，用該法得到的邊緣輪廓清晰，實時性好，並且抗噪能力有明顯提高：將上述邊緣檢測方法應用於無人值守變電站，提出一種瓷瓶裂紋故障監控方案。
  7. Such method divides the whole image into a series of image layers including different signal characteristics, such as low - freq & edge layer and texture layer. for the first, we adopt wavelet image algorithm ; for the latter, matching pursuit based on redundant dictionary is utilized

    它將圖像劃分為一組包含不同信號特徵的圖像層，如低頻邊緣層和紋理層等等，對於前者可以選擇採用小波零樹編碼方案，而對後者則採用基於冗餘字典的匹配分解演算法。
  8. This article, aiming at the specialties of rmb currency image, puts forward a new method using linear transform of image gray to diminish the influence of the background image noises in order to give prominence to edge information of the image. then the edge characteristic information image is obtained by edge detecting using simple statistics. by dividing the edge characteristic information image in the width direction into different areas, getting the number of the edge characteristic points of different areas as input vectors to random masks and optimized by ga

    文中提出了利用圖像灰度線性變換來抑制背景圖案噪聲的影響，突出圖像邊緣信息；然後採用簡單統計法進行邊緣檢測，得到邊緣特徵信息圖；最後通過對邊緣特徵信息圖在寬度方向上進行均勻劃分成不同的區域，統計不同區域的邊緣特徵點的數目作為神經網路的初始輸入向量，對初始輸入向量用隨機掩碼處理和遺傳演算法進行優化得到最終輸入向量，通過三層bp神經網路分類器進行分類，達到了人民幣識別的目的。
  9. Finally, the design scheme of cellular automata image edge detect algorithm and gaussian random number generator algorithm applied in the system is presented, and an extended application scheme of data acquisition by the system is also provided

    在此基礎上，提出了元胞自動機圖像邊緣檢測演算法和高斯隨機數產生演算法在系統中應用的設計方案，並給出了系統應用於數據採集的擴展方案。
  10. Firstly, the original image data is reduced to segmentation, which can be implemented, by low - pass filters and media filters, etc ; secondly, features of image data, i. e. color component, texture, motion, frame difference and semantic information will be extracted ; thirdly, the determination to segmentation with some uniform standard is made based on the features

    本方案是基於像素點的聚類，分割得到的對象具有較好的邊緣效果並且不需要預先設定門限值。由於神經網路具有超強的容錯性，使得本方案對于受噪聲污染的圖像也具有一定的適應性。
  11. The results demonstrate that the proposed edge - based approach is an accurate and efficient method of obtaining a motion segmentation

    對forman和tennis圖像序列的模擬測試結果表明，本文提出的基於邊緣的分割方案是一種準確的、高效率的運動分割方法。
  12. However, no general method to video motional object segmentation is accepted and presently, scenes can be divided into many semantic objects and coded by content - based representation and scalability that will be playing an important role in 2g technologies of video coding and segmentation

    目前較為流行的分割方案大多依賴于視頻圖像的某一種或幾種屬性進行分割，並且較多的是在像素塊基礎上的，需要預先設定門限值，因此分割精度不高，圖像邊緣也較為粗糙。
  13. The application of wavelet transform and multiresolution analysis to edge detection is analyzed. incorporating with the invariant moments, the paper present a real - time monitoring scheme for image monitor system of the unmanned substations by dynamically detecting the cracks of the porcelain bottles. simulation results and applications show that the method presented is valid and effective

    3 ）對小波變換和多解析度分析在邊緣檢測中的應用進行了分析和研究，並與圖像的不變矩特徵相結合，出了一種新的基於小波和矩的動念檢測瓷瓶裂紋的實時監控方案，應用於無人值守變電站圖像監控系統，模擬結果和實際應用均證明了該方案的正確性和有效性。
  14. Following are detailed steps of this system : in the segmentation section, we use three successive frames to detect the motion infomation of the pictures, by using blockmatching algorithm in two successive frames twice, we can get two pictures composed of motion blocks of the moving object, then we find out the common motion blocks of the two pictures, experiments prove these blocks approximately compose the moving object. after getting the motion blocks, we calculate the center of these blocks as the center of the moving object, thus we can use the center point as the origin, construct n straight linesjoining the boundry of the image and the center. on each line, we can find out a proper point near the object contour according to some criteria, then we use these n points as the initial points of the snake and let the snake converge on the object contour, thus finish the segmentation of the moving object

    本方案的實現過程為：分割部分：對運動目標的前後三幀進行兩次塊匹配運動檢測，通過找出兩個匹配結果中運動圖像塊的公共部分，獲得組成運動目標的圖像塊；求出運動目標圖像塊的形心作為運動目標的中心，以此中心為端點，向四周發散出角度間隔為的n條射線，射線的另一端終止於圖像的邊緣；在每條射線上按照一定的準則（點的梯度和與目標中心的距離在一定閾值范圍內）找出n個初始輪廓點；以這些初始輪廓點作為主動輪廓模型（ snake ）的初始點，用改進的貪婪演算法使snake收斂到待分割的運動目標輪廓上。
  15. And with most dslrs you must, because images are considerably softened by anti - aliasing filters that keep their sensors from recording jagged edges and moir patterns

    對大多數的數位單眼來說，為了防止感光元件紀錄到鋸尺狀邊緣與波紋圖案，使用反失真濾鏡組件而導致數位影像相當的不扎實。
  16. Chapter 1 is introduction, represented the advance of study task, automatic recognition technology of cannonball ' s defection include edge detection, feature extraction and pattern recognition, and solving project of the system

    本文的第一章是緒論，闡述了研究課題的提出，對炮彈裝藥自動識別技術包括圖像邊緣檢測技術、目標的特徵提取技術、目標的模式識別技術進行了概述，提出系統的解決方案。
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