邊緣檢驗 的英文怎麼說

中文拼音 [biānyuánjiǎnyàn]
邊緣檢驗 英文
bias check
  • 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...
  • 檢 : Ⅰ動詞1 （查） check up; inspect; examine 2 （約束; 檢點） restrain oneself; be careful in one s c...
  • 驗 : 動詞1. （察看; 查考） examine; check; test 2. （產生預期的效果） prove effective; produce the expected result
  • 邊緣 : 1 （沿邊的部分） border; edge; fringe; margin; rim; limb; skirt; verge; brink; periphery 2 （靠近...
  • 檢驗 : checkout; test; examine; inspect; verify; survey; check;checking;testing;[英國]jerque（指檢查船舶...
  1. The experimental results show that the method can not only detect the fuzzy edge and exiguous edge correctly, but also improve the searching efficiency of fuzzy clustering algorithm based on tea evidently

    實驗結果表明，該演算法不僅具有很強的模糊邊緣和微細邊緣檢測能力，而且可以提高基於人工免疫進化演算法的模糊聚類演算法的搜索效率。
  2. Thus, the vhdl is carried to make a design for the forenamed algorithms, and the design is validated by simulation

    因此，本文用vhdl語言實現了ca邊緣檢測演算法模型的基本內核設計，並通過時序模擬，進行了演算法的硬體設計與效果驗證。
  3. A stereo matching approach based on edge feature is proposed. the procedure of the correspondence is fulfilled through the edge - detection, the similarity check and the consistence check. rebuild 3d image for disperse data and achieve depth information

    提出基於邊緣特徵的立體匹配方法，通過邊緣檢測、相似性檢驗和相容性檢驗完成了匹配的全過程，並對得到的離散數據進行了三維重建，恢復深度信息。
  4. The edge detection approach based on cp neural network is valid to overcome the randomness of fragment dispersing and complexity of distribution of perforation holes. applying neural network approach, the influence of the negative factors is reduced in artificial detection and statistics. in this way, the target image was detected exactly and successfully

    基於cp神經網路的邊緣檢測方法有效地克服戰斗部破片穿靶試驗中破片飛散的隨機性和破片孔分佈的復雜性，從而減小了人為檢測和統計中諸多不利因素的影響，完成對靶板圖像的準確檢測。
  5. In this paper, combined with vanishing point geometrical restriction given by the aerial photogrammetric modeling, a method for extracting vertical lines based on the adaptive fuzzy hough transform is presented. then the extracted vertical lines are validated by analyses of window texture

    本文結合航空攝影模型給出的滅點幾何約束，利用自適應模糊hough變換，提出了一種建築物垂直邊緣檢測方法，並用窗戶紋理分析技術來驗證高層建築物的垂直邊緣。
  6. Experiments show that the algorithm presented in this paper is able to effectively overcome bluring affects caused by the point spread function and apparently promote the recognition rate, and the algorithm is better than that based on edge detection

    實驗結果表明，這里提出的演算法能有效克服光學系統的降晰對條碼識別的影響，顯著提高了識別率，其性能優于基於邊緣檢測的演算法。
  7. Some strategies introduced in this recognition algorithm are proved to be effective and improve the performance of the algorithm. experiments show the recognition algorithm based on subpixel edge detection proposed here is advantageous over traditional recognition algorithm and can get a more accurate edge position between bar and space

    實驗表明本文的識別演算法具有很好的性能，這里提出的基於亞像素邊緣檢測的識別方法優于傳統的條碼識別方法，能夠獲得更為準確的條空邊界位置。
  8. 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。
  9. By the theoretical analysis and experimental test, the image processing procedure of the system has been designed. firstly, the system needs carry out pre - process : the median filtering and average filtering of acquired image, next carrying out the threshold of filtered image, then performing morphology, such as open, close and so on. next, the boundary of binary image is extracted

    通過理論分析與實驗驗證，得到了本系統圖像處理過程:首先對採集的圖像進行預處理，包括均值中值濾波，通過閾值分割進行二值化，然後對二值圖像進行開啟、閉合以及進行邊界提取操作來獲得清晰的圖像邊緣，最後通過邊緣檢測和擬合測量得到沖擊試樣各尺寸值，圖像坐標變換和模式匹配可以完成檢測區域定位。
  10. By means of multi - resolution analysis concept for auto - zooming of wavelet transformation, a multi - resolution gaussian gradient operator which is suitable for noisy edge detection is configured. the experiment results show that this method is an automatic rapid and effective target detection method

    該方法利用小波變換的自動變焦的多分辨分析思想，構造了適合的噪聲中邊緣檢測的多解析度高斯梯度運算元。實驗結果表明，該方法是一種快速、有效的自動化目標檢測方法。
  11. Therefore the dynamical characteristic is acted as detected parameter for fractured detection ( primary amplitude secondary frequence ). and the amplitude of mean sguare and central frequence are acted as evaluational parameter, based on the those studies, the new ideas is put forward that fractured azimuth is dected by lateral difference and fractured density is dected by vertical difference for three facters of fracture, wavelet acted as analysis tool and direction by wave field characteristic applied the multiple scale edge dectection and self - adaptive edge detection into the detection theory of seismic fractured azimuth, also put forward the wavelet different scale filter method of the fractured azimuth detection

    因而，確定了主要以振幅，其次是頻率的地震波動力學特徵作為裂縫檢測的被檢參數和均方振幅和中心頻率作為檢驗檢測結果正確與否的評價參數。在上述研究基礎上，針對裂縫的三要素，提出通過橫向求異檢測裂縫方位和縱向求異檢測裂縫密度的新思想。並以小波作為分析工具，以潛山波場特徵作指導，將數字圖像處理中的多尺度邊緣檢測和自適性邊緣檢測引用到地震裂縫方位檢測中來，並提出了小波變尺度濾波法新的裂縫方位檢測法。
  12. Using vc + + 6. 0 as the development platform, the system combines the common processing and analyzing image by means of image geometry change, process enhancement, edge detection, region segmentation, feature extraction and so on. based on the image processing and recognition, the system realizes the functions of color recognition, shape recognition and inspection under the laboratorial environment

    課題主要使用的開發平臺為vc + + 6 . 0 。系統集成了圖像處理和分析的常用演算法，包括圖像的幾何操作，圖像的增強操作，圖像的邊緣檢測演算法、圖像區域分割、圖像的形狀參數提取等;並在此基礎上實現了實驗環境下零件顏色識別，形狀識別和缺陷檢測等功能。
  13. In this thesis, the neural network and edge detection technologies were reviewed firstly, then discussed the application in weapon engineering, and illuminated the features and significances of the study. secondly, the main algorithms and its application relate to edge detection were summarized, and then the statistics theory and target edge detection based on neural network was discussed in detail, referred to fragment warhead. moreover, the edge detection method based on cp neural network model and technologies was given, through which the target images were detected exactly

    文中首先詳細論述神經網路及邊緣檢測技術的發展及在武器工程領域的應用，闡明本研究課題的特點及實用價值;然後，對邊緣檢測技術所涉及的主要演算法特點及其應用技術進行了全面的概括論述;接著詳細論述破片戰斗部所涉及的相關數學統計理論及基於神經網路的目標靶板邊緣檢測技術，提出一種基於cp神經網路模型及技術應用的實現方法，完成對目標靶板試驗圖像的邊緣檢測;最後，對神經網路對目標靶板的檢測方法和人為檢測目標靶板方法進行了比對及總結，論證了神經網路檢測方法的可行性和先進性。
  14. In third chapter author uses this ability to detect the edge of image. author hopes to detect pcb defection based on this method. the experiments testify validity of this method

    實驗證明，利用小波變換具有檢測信號突變點及多尺度分析的能力來進行缺陷圖像邊緣檢測是有效的。
  15. Firstly, the classic methods of image edge detection are introduced, including differential coefficient which are roberts image edge detection, sobel edge detection, and prewitt, robinson, kirsch image edge detection, and second - order differential coefficient which are laplacian edge detection and log edge detection. finally analyzed the experiment results of these methods application on a picture

    介紹了經典的圖像邊緣檢測方法，包括一階微分邊緣檢測的roberts邊緣檢測， sobel邊緣檢測和prewitt ， robinson ， kirsch邊緣檢測，以及二階微分邊緣檢測的laplacian邊緣檢測和log邊緣檢測，並通過實驗的方式比較了這些圖像邊緣檢測運算元的實際效果。
  16. Tool wear image characteristic was studied at tool wear inspecting aspect and put forward " 十 window " automatic edge detection algorithm and resolved the problem of tool wear image edge extraction. the algorithms and programs calculating area, perimeter, width and length for tool wear image were developed for tool wear image. the better results were gained by experiments and improved edge orientation precision and geometry measure precision

    在刀具磨損檢測技術方面，研究了刀具磨損的圖像特點，提出了「十字窗」自動邊緣檢測演算法，解決了刀具磨損圖像邊緣提取問題，開發了刀具磨損的面積、周長、寬度、長度的演算法，開發了程序，經檢驗具有較好的檢測效果，提高了邊緣定位精度和幾何尺寸的計算精度。
  17. The article plots gray and color difference curves based on mach band images. author introduces an algorithm of automatic threshold choice based on the curves in the wavelet edge detection. gray and color images are tested, and there is a good result

    以此為基礎提出了小波邊緣檢測中的自動閾值選取演算法，分別用灰度圖像和彩色圖像作實驗，實驗結果證明了這種演算法具有較強的自適應性和較好的提取效果。
  18. The innovations in this thesis are as follows ( l ) a novel license - plate localization is presented expoiting edge detected binarization and scanline. it is much more robust and faster than traditional methed. ( 2 ) a modified binarization is presented based on mean - differential operator for extractsing characters in the plate. it is more robust and faster than traditional image segmentation metheds

    本文新意之處在於：在車牌定位中，本文提出了基於邊緣檢測的二值化和掃描線相結合的車牌定位方法，實驗表明該方法能夠快速、準確地定位車牌，且抗干擾能力強。
  19. After the state of arts of image segmentation technique is introduced, the key techniques of classical approaches ( threshold and edge detection method ) are presented. then the performance of these approaches are analyzed and validated through a group of experiments

    論文首先闡述了圖象分割及目標跟蹤技術的發展和現狀，並對圖象分割方法中的關鍵技術（邊緣檢測法和閾值分割法）進行了詳細介紹，然後通過實驗對幾種經典的閾值分割演算法進行了驗證和分析。
  20. The first part of this paper discusses the preprocession of vehicle images. this part presents transfer of the format of images, the enhancement of images the edge detection of images and the bodywork dispose of vehicle. bring forward the images minus shadow technology base on threshold to apply to wipe off background of the vehicle

    本文第一部分討論了汽車圖像的預處理，主要包括圖像格式的轉換，圖像的增強，圖像的邊緣檢測，汽車車體的處理，提出了採用基於閾值的圖像減影技術在去除汽車背景的應用，實驗結果表明此演算法是十分有效的。
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