邊緣圖像 的英文怎麼說

中文拼音 [biānyuántúxiàng]
邊緣圖像 英文
edge image
  • 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...
  • 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...
  • 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. By two ways, this paper debates the theory of fracture detection : on one hand by the way of edge detection in image processing ; on the other hand by time series analysis. the detection by time series analysis is more antinoise than edge detection in image processing. edge detection theory in image processing mainly includes correlation data, fuzzy edge detection, entropy operator edge detection and gradient edge detection

    圖像處理中的邊緣檢測的方法主要包括相干數據體法、模糊邊緣檢測法、基於熵運算元的邊緣檢測法、梯度邊緣檢測法；其中模糊邊緣檢測法比較依賴于參數的選擇，其渡越點兩邊的像素區別明顯；熵運算元的檢測方法則是檢測的圖像邊緣比較光滑，連通性好；梯度檢測法可以使用不同的運算元核，演算法比較簡單；相干數據體對于總體的大的裂縫的分佈具有比較奸的反應。
  3. A new standardization method is proposed to solve the problem of the distorted image recognition, which is that the image ' s centroid was gotten based on the pixels total value of the whole image, and then the largest apothem and the rotated angle were obtained by the distance of the centroid and the image brim, last the object and the reference image adjusted the entirely same images in the scale and the rotated angle according to the uniform standardization

    由此，提出了基於圖像質心和最長邊的歸一化圖像處理新演算法：根據圖像像素總值求取圖像質心，根據質心和圖像邊緣輪廓點之間的長度求出圖像的最長邊和旋轉角度，然後根據統一標準將目標圖像和參考圖像調整至同一長度和旋轉方向的完全相同的圖像。
  4. 3. researching on the edge detection method of surface image. after using the edge detection operator for the preliminary abstracting, a series of extending work, such as grey bivalence 、 thinning 、 noise reduction and compagination have been done

    3 .對帶鋼表面圖像的邊緣檢測方法進行了研究及實現，採用邊緣檢測運算元對邊緣初步提取，進行了二值化、細化、去噪聲、連接等一系列后續處理工作，並且較好的判斷了邊緣是否良好的情況。
  5. Summarize the common image pre - processing methods and point out their merits and faults. discuss the boundary effect of gaussian low - pass filtering ( glpf ). to improve it, the zero - order gaussian filtering for an open profile ( gfo ) is used

    討論了高斯低通濾波的邊界效應，利用零階開環高斯濾波演算法，對高斯低通濾波進行了改進，使濾波圖像在圖像大小不改變的情況下，邊緣處的濾波效果得到明顯的改善。
  6. In this paper, presents a new measuring method of the braiding angle of composites for the edge image with computer based on curve fitting theory. the method can suppress noise and absolve the problem of the point of edge is not continue

    本文在邊緣圖像的基礎上，根據復合材料自身的特點，提出了一種基於曲線擬合的編織角的自動測量方法，該方法能夠有效地解決噪聲、邊緣點不連續等問題。
  7. Comparing the output images, i select canny operator as optimizing edge detection operator. this paper emphasizes on stereo matching. firstly, selecting objects " edge pixels as matching elements

    應用canny邊緣檢測后得到的圖像邊緣點作為匹配基元，在另一幅邊緣圖像中搜索對應點。
  8. Then, edges in different scale were combined according to the life of local feature, which were detected by changing the size of structure elements

    改變結構元素的尺寸大小可得到多尺度下的邊緣圖像，根據局部邊緣生存期的長短將不同尺度下的邊緣圖像合成。
  9. Firstly, image edge was detected by using several typical structure elements. then, edges in different scale were combined according to the life of local feature, which were detect.

    改變結構元素的尺寸大小可得到多尺度下的邊緣圖像，根據局部邊緣生存期的長短將不同尺度下的邊緣圖像合成。
  10. In chapter five, gained proper matching template taking advantage of edge image and mapped two sequential images basing on image transform and template matching and found moving objects

    第五章利用前一章運算得到的邊緣圖像，選取出適當的匹配模板，綜合利用中文荷要坐標空間變換和模板匹配法配準圖像，檢測出運動目標。
  11. Firstly, image edge was detected by using several typical structure elements

    首先選取幾個有代表性的結構元素對灰度圖像進行邊緣檢測得到邊緣圖像。
  12. The writer analyzed mallat three criteria and introduced the optimized function based on these three criteria, at last found optimized mother wavelet for edge detection. at the end of this chapter single edge searching method based on local maximum is introduced and gained ideal edge image

    分析mallat提出的評價邊緣檢測函數優劣的三個判別函數，利用這三個判別函數列出最優化方程，推導出邊緣檢測最優小波，最後創造性提出局部最大值單像素邊緣搜索法，提取出單像素寬度邊緣圖像，圖像效果達到了滿意的效果。
  13. First, the source image was decomposed by wavelet lifting, using mathematical morphological method extracts edges in low - frequency approximate image and using wavelet transform method extracts edges in high - frequency detailed images on the different levels, then the two edge images were fused according to some fusion rules to obtain an integrated and clear edge image

    對源圖像進行小波分解，用數學形態學法對低頻子圖像進行邊緣檢測，用小波變換法對不同分解層上的高頻子圖像進行邊緣檢測，採用一定的融合規則將這兩個邊緣圖像融合在一起得到一幅完好的邊緣圖像。
  14. The edge of image is often considered as its fundamental feature in image processing. it has been used in image processing and analyzing technologies such as feature description, image recognition, image segmentation, image enhancement and image data compression on a high level. then we can comprehend and analyze the edge image later on

    在實際的圖像處理問題中，圖像的邊緣圖作為圖像的一種基本特徵，被經常應用到較高層次的特徵描述、圖像識別、圖像分割、圖像增強以及圖像壓縮等等的圖像處理和分析技術中，從而可對圖像作進一步的分析和理解。
  15. Second, face region ' s horizontal gray - level projection is used localize the top of the head and the middle of the nose. three, the face structure mode utilized to estimate the positions of eyes, and the edge features are checked to give the proper positions of eyes

    之後利用人臉區域的水平灰度投影確定頭頂至鼻中部的上下邊界，然後利用人臉比例模型估計人眼的大概位置，分析人眼區域的邊緣圖像，給出人眼的確切位置。
  16. Firstly it extents the edge detection operator of gray image - roberts edge detection operator to edge detection of color image, considering the three channels of every pixel synthetically by using euclida distance, and obtains a gray - level edge image i1

    它首先將灰度圖像邊緣檢測運算元roberts運算元推廣到彩色圖像邊緣檢測中，採用歐氏距離將像素彩色值的各分量綜合考慮，得到灰度邊緣圖像i _ 1 。
  17. In this paper the detection result of some gradient operators and laplacian are also compared with the result of bp fusion model to analysis the fusion effect. at last the paper pointed out that the fusion model has higher accuracy and higher speed in the processing of oil spill image ' s edge detection

    文章最後把經五個簡單運算元和bp融合模型處理過的邊緣圖像放在一起並進行了比較，得出溢油圖像經該模型處理后基本收到了預想的效果。
  18. The former is the combination of human vision characters and image ' s local statistics, and judge the quality of image subjectively. but the latter judge the quality of image both subjectively and objectively. moreover, the latter compare result edge, this work is an innovation

    不同之處在於：前者結合人類視覺特性，對于處理后的圖像主要從主觀視覺角度評價；而後者則採用在與傳統方法處理結果比較的基礎上，進一步比較它們的邊緣圖像，在達到客觀評價準則意義下最優的同時盡可能多的保持圖像邊緣位置和細節信息。
  19. The edge which is widely used in image processing such as feature description, image segmentation, image enhancement, image compression and pattern recognition etc. is one of the most important fundamental feature of an image. it is not so much that we argue the importance of the edge of image

    在實際的數字圖像處理中，圖像的邊緣圖包含了圖像的位置、輪廓等的特徵，是圖像的基本特徵之一，常常被用來進行進一步的較高層次的特徵描述、圖像分割、圖像增強、圖像復原、模式識別、圖像壓縮等等的圖像分析和處理中，以便對圖像進行進一步的理解和分析。
  20. The steps of this change detection are : registering the multi - date image pairs, regularizing the image pairs, extracting the edges of the image pair, matching the edges of the edge - image pair, computing the edge difference image pair, marking the difference edges in the copies of the image pair

    該變化檢測法的工作流程為：多時相圖像配準、圖像標準化、提取參考圖像及檢測圖像的邊緣、匹配邊緣圖像中的邊緣並獲得邊緣差分圖像、標注變化情況。邊緣檢測運算元的性能直接影響變化檢測結果。
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