邊緣像差 的英文怎麼說

中文拼音 [biānyuánxiàngchā]
邊緣像差 英文
marginal aberration
  • 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...
  • 像 : Ⅰ名詞1 （比照人物製成的形象） likeness （of sb ）; portrait; picture 2 [物理學] image Ⅱ動詞1 （在...
  • 差 : 差Ⅰ名詞1 （不相同; 不相合） difference; dissimilarity 2 （差錯） mistake 3 [數學] （差數） differ...
  • 邊緣 : 1 （沿邊的部分） border; edge; fringe; margin; rim; limb; skirt; verge; brink; periphery 2 （靠近...
  1. Finally, this thesis discussed these following questions : first, the algorithm of used the error image for improving the purpose of the edge detection. secondly, we have transformed the solved question of the first and the second directional derivative to frequency domain and founded they have a single formulae in frequency domain. thirdly, we have described the singular signal and the noise by using the correlations of the neighbor data after wavelet transform

    最後，在傳統的邊緣檢測演算法和小波分析的邊緣檢測演算法之外，對以下幾個方面也進行了一些討論： 1 ）利用誤差圖像來提高邊緣檢測效果的演算法； 2 ）將求解任意方向的一階、二階方向導數的問題轉換到頻域中去求解，發現在頻域中它們具有簡單易用的公式，使得原來求解任意方向的一階、二階導數的比較困難的問題變得容易實現了。
  2. The dissertation is mainly including four section : the first is the experiments done in the tank, which will supply the reliable information of imaging data ; the second is image edge detection by the use of the art of the zernkie moments, which is used to detect the liner and threaded edge of the object, the third is the underwater camera calibration technique, the forth is automatic positioning the location of the camera by used of the art of cross - ratio, the result of which is satisfied

    本文工作分為四個部分：第一部分是水槽實驗部分，它為后續的工作提供了可靠的圖像數據信息；第二部分是基於zom距的直線、曲線邊緣提取技術及相關的與處理技術；第三部分，水下攝像機標定技術研究，基於改進的tsai演算法，採用逐步分解的標定策略。並探討了一種相對簡單的、靈活的標定技術；第四部分是攝像機定位技術研究，採用具有平移不變性的交比進行攝像機定位，模擬試驗的最大誤差不超過2 ，效果還是令人滿意的。
  3. In the course of measurement of workpiece face runout, variance method of the most species based on separability and image edges distilling based on morphology and marr filtering based on edges segmentation are used to enhance effectively accuracy of image segmentation and edges distilling. accuracy of measurement of face runout is enhanced effectually by use of least square method of compressing rectangle fitting edge of image and transforming of dft

    該系統在工件端面跳動測量過程中，採用了基於可分性的最大類間方差法和形態學邊緣提取以及基於邊界分割的marr演算法，使圖像分割和邊緣提取的準確性得到了很大的提高；用壓縮矩形的最小二乘法擬合工件端面圖像的邊緣以及用dft變換對工件端面的跳動量進行測量，使端面跳動測量的準確性得到了很大的提高。
  4. Median filtering is chosen to modify the fuzzy edge by using the smoothing arithmetic, sobel operator is used to detect edge because of its filtering characteristic. image is changed from gray - scale to two - valued according to the threshold which is automaticly selected by otsu

    選用中值濾波減小平滑演算法導致的邊緣模糊;利用有濾波特性的sobel運算元進行邊緣檢測;使用最大類間方差自動確定閾值，將灰度圖像轉化為二值圖像。
  5. In the traditional wavelet transform, because the wavelet filter and coefficient is fixed, as a result, when the discontinuous signal is analyzed, it will produce a lot of big wavelet coefficients in the transition, which makes against the compression. in the image processing, some image is roughness, and it may has sharp edges and oddity parts

    由於傳統小波變換的濾波器長度和系數是固定不變的，不能適應輸入信號而變化，這使得在分析非連續信號時，在躍變點兩側會產生大的小波系數;對具有尖銳邊緣、分段光滑或奇異點、圖文混合圖像處理效果很差。
  6. The rnultiscale edge detection and texture image segmentation are studied based on the variogram function

    我們基於變差函數的這種性質對圖像的多尺度邊緣檢測和紋理分割作了較為深入的研究。
  7. At the meantime, during the procedure of pre - processing, according to the character that the illumination conditions on the scene of the expressway toll collection frequently change a lot, the algorithm of first difference combining the method of fixing the threshold of binarization via accumulating the points was used to complete the job of extracting the outline of the image

    在圖像預處理過程中，根據高速公路收費站點光照條件不斷變化的特點，採用一階差分演算法並結合累積像素點確定二值化閾值的方法，完成圖像邊緣輪廓的提取工作。
  8. The research about the non - invasive inspection of pcb that is based on ir image is introduced. the detection principle, the components of hardware and software are introduced in this paper. some key technical problems and the project of software are presented in detail : graphics of user interface ( gui ) of the projection, gray scale transformation ( gst ), image contour extraction through edge detection algorithm based on the approaching contour optimization, image registration based on corner detection, the position of hidden trouble pcb through add - minus algorithm image

    本文介紹了利用紅外圖像對印製電路板進行不接觸式故障檢測的系統研究，主要介紹了本系統的檢測原理，硬體組成及軟體的製作，其中詳細地介紹了軟體的製作過程以及其中的幾個關鍵部分：本系統的人機交互界面；圖像的灰度轉換；基於最優輪廓逼近的邊緣提取演算法進行輪廓提取；基於角點檢測的圖像配準；用差影法得到故障電路板的故障隱患或故障部位。
  9. On the basis of the probability density function of the disparity gradient, the mutual coordinate constraint of the corresponding points of the two adjoing points in the continous edge of the left image was educed, then the search area of the matching point in the right image was limited

    由視差梯度的分佈密度函數，導出了左圖像連續邊緣上相鄰兩點在右圖像中的對應點的坐標間的相互約束關系，從而限定了右圖像中匹配點的搜索范圍。
  10. Algorithms of video segmentation that are good adaptive character and real time are crucial to the final mpeg 4 coding products there exist the contributions in this dissertation as follows obtaining the edge of video objects is crucial to the video segmentation, author researches the features of human being visual, especially giving a description of mach band that is usually used in the image processing, and builds a model of mathematics, researching the mach band of color image

    （ 1 ）視頻分割的關鍵是獲得視頻對象的邊界，邊緣檢測很重要，本論文以人類的視覺系統的特性為出發點，對圖像處理中經常應用的馬赫帶現象進行了詳盡的分析並進行了數學建模，研究分析了彩色圖像的馬赫帶現象。在對馬赫帶圖像分析的基礎上，得出了人類視覺系統對圖像邊緣能識別的最小灰度差和彩色差曲線。
  11. The welding position can be detected accurately through processing the image of arc area collected by the vision sensor ccd ( charge coupled device ), by the system of image collection and computer - ware, we can recognize the position of the welding line exactly, count out the warp between moving track of robot and the welding line. so we can control the robot ' s act real - timely, the seam tracking accuracy is enhanced efficiently

    重點論述焊縫圖像分割和邊緣提取的理論方法，焊縫圖像由面陣ccd攝像系統攝取，通過圖像採集系統和計算機軟體，對檢測到的弧焊區圖像進行處理來準確地識別焊縫位置，計算機器人的運動軌跡和實際焊縫之間的偏差，據此控制機器人運動進行實時跟蹤，從而有效地提高焊縫跟蹤精度。
  12. Since the real - time image and norm image shoot height, orientation and image size are different, the two image ' s outline exist rotation and distortion, and so obtained image ' s edge character is influenced by picture ' s gray distribution, so that the match result is usually not correct

    摘要下視景像匹配製導中，實時圖和基準圖的拍攝高度、方位和圖像比例尺不完全一致，兩圖的輪廓形狀存在旋轉和變形等差異，邊緣特徵提取方法受圖像灰度分佈影響存在變形和移位，易導致匹配錯誤。
  13. On the base of the analysis, we build up the vector fields of neighborhood variation ; put our emphasis on the description of the image edges and the domains of visual similar grey - level with the vector fields. after that, we find out the two methods used to detect the edges, the one with the biggest vector field, and the other with the perpendicular vector - pair of the biggest variation difference. the neighborhood size has got the great influence

    在此基礎上，提出了基於鄰域灰度變化矢量場的圖像分割思想;建立了圖像鄰域灰度變化矢量場，並重點分析了鄰域灰度變化矢量場與圖像視覺邊緣、區域等特徵之間的關系;建立了最大鄰域灰度變化矢量的邊緣檢測運算元模型，基於鄰域灰度變化矢量場最大正交差異對的邊緣檢測運算元及區域檢測運算元模型;分析了鄰域選擇對邊緣擴展、噪聲抑制的影響。
  14. The photograph will be reproduced on the passport by means of digital imaging. the quality of the image will depend on the quality and colour of the photograph you have furnished. photographs of poor quality ( such as with white spots or scratch marks, grainy, or with portrait that cannot merge with the background due to shadow on the edge of the portrait ) will not be used for the making of the passport

    照片會透過數碼影像技術被射印在護照上，其效果須視乎你交來的照片顏色及質素而定，質素太差（如有白點、花痕、微粒粗、在人像邊緣有光影以至未能與背景融合等）均一概不能用以製作護照。
  15. At the same time, according to the excellent capability of ip curves, we study fitting and description of objects, determination of invariants of objects, symmetry detection and recognition of objects based on ip curves. in all, the main contributions in the dissertation are as follows : ( 1 ) a method of determining automatically the scale of the multiscale edge detection is proposed based on the variant distance of the variogram function, and a method of segmenting texture images is also presented. the variograin values are taken as stochastic and structural properties of texture images and variant distance is taken as the size of image window

    同時，基於隱含多項式曲線良好的物體描述與識別能力，對物體邊界輪廓的擬合、描述、不變量特徵的提取、識別以及物體對稱性檢測作了系統的研究，主要成果及創新之處有： （ 1 ）基於變差函數的變程，提出了圖像多尺度邊緣檢測中尺度大小的自動確定方法；將變差函數的變差值作為紋理的統計和結構特徵，依據變程確定窗口大小，給出一種新的紋理圖像的分割方法。
  16. Introducing and comparing the difference within the conception of area segmentation, motion segmentation and moving object segmentation vop extraction, and their application in content - based video sequence image coding. analysis the relationship between the frame difference image and its relative frame gray level image. then a new automatic moving object edge tracking and extracting method, based on the high correlation between the edge of frame difference and the edge of gray level image, was proposed. using the close of moving object edge to get the real moving object

    介紹比較區域分割運動分割和物體分割的概念及其在視頻序列圖像分割中的應用。分析說明各種運動狀態下幀差圖像與相應幀灰度圖像的關系。提出了基於幀差圖像邊緣與灰度圖像邊緣之間強相關性的運動物體邊界自動跟蹤提取演算法。
  17. Experiments on gray - level and color images show that it yields results with lower root - mean - squared errors and preserves better high - frequency details such as high contrast and sharp edges

    在灰度和彩色圖像上的實驗均表明該方法得到的結果具有更低的均方根誤差，而且更好地保持了高頻空間的細節，例如高對比度和銳利的邊緣。
  18. Errors resulting from discrete sampling of zernike orthogonal ( space ) matrix is correct by error correction table. the edge detection precision is higher than 0. 1 pixels though signal to noise ratio up to 20db

    改進了zernike正交矩（空間矩）亞像素邊緣檢測演算法，用誤差修正表對離散采樣引起的誤差進行修正，使信噪比達到20db時，邊緣檢測精度仍然優於0 . 1像素。
  19. 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。
  20. But the detection speed is quite low. and edge pixels and strong noise are ignored entirely, or segmented to change type or unchanged type randomly, so that the detection precision is sure to be affected

    但是運算量大，速度慢，同時又忽略差異圖象邊緣像素和強噪聲點，或簡單地判給變化或非變化類別，給圖象變化檢測精度帶來一定程度的影響。
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