邊緣像素 的英文怎麼說

中文拼音 [biānyuánxiàngsù]
邊緣像素 英文
edge pixel
  • 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...
  • 素 : Ⅰ形容詞1 （本色; 白色） white 2 （顏色單純） plain; simple; quiet 3 （本來的; 原有的） native Ⅱ名...
  • 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. Studied on floating avoiding method and the memory conflict regulating method to realize the real - time image capture. 2. using four subpixel - locating methods to obtain the center of micro parts, which are template - matching method, core - shape method, centrobaric gray method, and edge - fitting method

    利用模板匹配法、型心法、灰度重心法和邊緣擬合法等四種亞像素定位方法實現了對零件中心位置的檢測；利用圖像旋轉方法，進行了零件旋轉角度定位研究。
  5. Sub pixel edge detection algorithm based on guadrativ curve fitting

    基於二次曲線擬合的圖像亞像素邊緣定位演算法
  6. By using threshold segmentation, edge recognition, pixel labeling and center of gravity method, the accurate sites of every model can be acquired from the image

    綜合運用閾值分割、邊緣識別和像素標記法等圖像識別技術，通過圖像得到每個模型的相關定位信息。
  7. Because the data mutate on the position that is the edge, the normal curvature on some orientation changes from positive to negative. so it is thought whether some point is judged the edge - point by this character

    由於邊緣是圖像上像素發生突變的位置，所以在圖像曲面上某一方向的法曲率值會出現由正到負的變化，故此應用這個性質來判斷曲面上某點是否為邊緣點。
  8. 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。
  9. Determines the distance in pixels from the left or upper edge to the movable splitter bar

    確定從左邊緣或上邊緣到可移動拆分條的距離（以像素為單位） 。
  10. 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。
  11. The padding, in pixels, for the bottom edge

    下邊緣的空白值（以像素為單位） 。
  12. The padding, in pixels, for the left edge

    左邊緣的空白值（以像素為單位） 。
  13. The padding, in pixels, for the top edge

    上邊緣的空白值（以像素為單位） 。
  14. 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。
  15. In addition, the paper gives the calibration method of the measurement system, implements the sub - pixel orientation to the image edge, analyses all kinds of factors that affect the measurement precision and gives the solution

    另外，文中也給出了本測量系統的標定方法，對圖像邊緣實現了亞象元定位，分析了影響測量精度的各種因素並給出了處理辦法。
  16. The experimental results show that the single pixel edge can be obtained, and continuous contours can be extracted

    大量實驗表明應用本演算法進行輪廓提取和跟蹤，可以提取單像素的邊緣和連續的輪廓曲線。
  17. 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。
  18. 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。
  19. This algorithm is based on the texture feature of the characters on a license plate. firstly, the long horizontal lines with small change in gray level in a car image are removed. secondly, small areas are got rid of, then an analysis of the geometric features of the connected areas and the number of inner pixels and pixels on its edge is made, and with the help of the geometric features and the projected features of car license plate, the license plate area is found out

    提出了一種基於字元紋理特徵的汽車牌照自動定位演算法；該演算法結合牌照區字元的紋理特徵，首先將汽車圖像中灰度值變化平緩的長水平線去掉，之後將小的區域去除，然後對留下的連通區域的幾何特性、內部象素個數、邊緣象素個數等信息進行分析，結合牌照的幾何特徵和投影特徵，找出真正的牌照區域。
  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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