匹配圖像 的英文怎麼說

中文拼音 [pīpèitúxiàng]
匹配圖像 英文
matched image
  • 匹 : Ⅰ動詞（比得上; 相當; 相配） be equal to; be a match for Ⅱ形容詞（單獨） lone Ⅲ量詞1. （用於馬、騾等） 2. （用於整卷的綢或布）
  • 配 : Ⅰ動詞1 （兩性結合） join in marriage 2 （使動物交配） mate （animals） 3 （按適當的標準或比例加以...
  • 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...
  • 匹配 : 1. [書面語] （婚姻配合） mate; marry 2. [電學] matching
  1. Image matching based on adaptive genetic algorithm

    基於自適應遺傳演算法的圖像匹配
  2. 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。
  3. Improving anil jain ' s algorithm, we propose a minutiae match algorithm. our improvement is focused on the following two aspects : first, we use a minutiae alignment algorithm based on the iteration of the neighbor minutia centered at the minutia gravity. secondly, we use a modifiable bounding - box to carry out minutiae matching, which makes our algorithm more robust to the non - linear transform of the fingerprint images

    我們的改進主要體現在二個方面:首先我們利用了一種「基於重心附近遍歷的特徵點對齊演算法」 ，該方法不需要記錄特徵點的多餘信息來進行特徵點的對齊;其次，我們利用一個可變大小的「界限盒」來進行特徵點的匹配，使得我們的匹配演算法對指紋圖像的非線性形變具有更好的魯棒性。
  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. Due to the image exists the instances of spin and distortion, in order adopting part small template proceed matching in order to reduce thereof impacts by as possible, besides small template matching may decrease calculation quantity, and it is propitious to real time of matching. looking into be on the impact of illumination, chromatism, under cloak circumstance template size and quantity select versus matching rate. matching primitive chooses gray, gray information measure large and most easy to obtain, but it is rather effected by illumination condition and chromatism, maximum matching rate restricted to 70 %

    瓷磚缺陷檢測採用待測圖像與標準圖像作差法，作差法對匹配精度要求較高，因此在匹配誤差存在的點進一步做了亞像素級的匹配;導彈目標識別，採用背景匹配的方法，統計背景移動距離指導目標的識別;叢林中移動目標識別，採用作差法找到目標區和背景區，分別採用不同的模板和閾值匹配，統計目標區匹配結果。
  6. A sub - pixel image matching method on re - sampling and curve fitting

    重采樣和曲面擬合的圖像匹配方法
  7. 3. characteristic points are established through projecting images of regular points to measured surface. space dimidiate coding method which is called rough match and correlation technology, centroid technology, corner detect technology which are called precise match are used to acquire characteristic points accurately

    將空間規則點圖案投射到被測物體表面形成特徵點，然後利用空間二分編碼粗略獲得空間特徵點（稱為粗匹配） ，再利用自相關技術、質心技術和角點技術精確獲得空間特徵點的圖像坐標（稱謂細匹配） 。
  8. In feature matching, a dot pattern matching method is developed, which combine subschema matching method for solving rotations and scale changes problems, and employ variable bounding box to solve translations problem. then the problems of arbitrary translations, rotations, and scale changes in feature matching have been well

    特徵匹配演算法採用了基於點模式的匹配方法，並結合基於結構的匹配方法解決圖像的旋轉、平移問題，同時採用可變限界盒方法解決圖像的變形問題，使得指紋圖像匹配中因圖像旋轉、平移、形變等帶來的問題得到了較好的解決。
  9. This dissertation is dedicated to the algorithm research of image registration applied to navigation. information such as attitude angle of aircraft is used to emendate the large - geometry - distorted image, so the research of this dissertation is based on the hypothesis that images used have small geometry distortion

    針對圖像匹配在導航中的應用，提出了對于存在大的幾何失真的圖像利用飛行器本身信息進行幾何校正的方法，所以本文演算法的研究都是基於小的幾何失真這一假設的。
  10. We excogitate the gabor filter based - on sub - block texture analyse to extract the feature of iris normalized image and encode them. then, we use hamming distance to match two iris codes. in order to reduce the rotation of iris, we work out a new method

    4 .研究出基於子塊紋理分析的gabor濾波器方法來對虹膜歸一化圖像進行特徵提取和編碼;在虹膜編碼匹配中，本論文採用hamming距離來進行編碼之間的匹配。
  11. Using the way combining the mathematic morphology top - hat and gauss matched filtering can effectively reduce the influence of the inherent fovea and the marginal noise brought forth by the retinal camera caliber in retinal image and increase the precision of retinal image segmentation and feature point extraction

    文中提出了採用灰度數學形態學中的top - hat變換和高斯匹配濾波相結合的方法，用來有效的降低視網膜熒光圖像中固有的小窩現象及眼底照相機的口徑所引起的視網膜圖像邊界像素噪聲，極大的提高了圖像分割及特徵提取的精度。
  12. Based on previous research, the thesis presents a mothod which can pick up depth information through matching image corresponding points, and has getten better result

    本文在分析前人工作的基礎上，提出了一種匹配圖像對應點提取深度信息的演算法，取得較好效果。
  13. Image and vision computing, 1999, 17 : 489 - 499. 4 gottschalk p g, turney j l, mudge t n. efficient recognition of partially visible objects using a logarithmic complexity matching technique. the international journal of robotics research, 1999, 8 : 110 - 131

    它從以下幾方面解決以上問題：第一，高尺度的分析突出了圖像的高頻部分，因此能夠更準確地匹配圖像特徵第二，利用非均勻有理b樣條表示圖像畸變，這對大多數現實的圖像幾何畸變都適用。
  14. Simulations show that this method can quickly and accurately recognize the object in input image and has a few strong robustness against noise in the input image. secondly, the simulations for two kinds of control algorithms based on pd, namely, direct pd control and pd control with feedforward compensation, have been completed in this thesis. simulations show that both control algorithms have good control performance in tracking a known trajectory and the effect of dynamic compensation of pd control with feedforward compensation is obvious

    本文首先根據二值圖像的特點結合距離變換提出了一種基於ga模式匹配的復雜背景下目標的識別方法，該方法能快速準確的匹配圖像中的目標，而且對噪聲有較強的魯棒性；接著對基於pd的2種機器人控制演算法（直接pd控制和pd加前饋補償控制）進行了模擬研究，實驗結果表明這兩種pd控制演算法都具有較好的軌跡跟蹤性能，而且pd加前饋控制的動態補償效果也很明顯。
  15. The level set methods proposed by s. osher have a good property of geometry interpolation, and gray interpolation can be changed into curve interpolation. actually, it has great influence on image processing and have achieved satisfactory results in image restoration, noise - removing, edge detection, image matching, and image recognition

    由s . osher等提出的水平集方法具有良好的幾何插值性，將灰度插值轉化為曲線插值，在圖像處理中有很大的影響，在圖像修復與去噪、邊緣檢測、圖像匹配、圖像識別等方面都取得了相對較好的結果。
  16. After that, an integrated color histogram is built based on the subregion color histograms. this integrated color histogram overcomes the disadvantage of simple global color histogram. to digitally represent a color histogram an inertial moment ratio calculated from a color histogram graph is proposed as a new digital feature of the color histogram

    通過比較各個區域顏色直方圖的相似性匹配圖像，可克服全局直方圖的局限性，對顏色直方圖的度量是其中一個關鍵技術，利用慣性比來從顏色直方圖提取特徵，能夠保證簡單明了地表達顏色直方圖。
  17. In the image process, using pixel to express area is more accurate than eyes. in the method of purity measuring, we find that utilizing image template match can perfectly resolve the prob

    在圖像的模板匹配中，用下式來衡量模板少和被匹配圖像酬的相似程度mm藝藝s 「 （ m ， 。
  18. But when there are several kinds of difference between the matching image model and the matched image, such as in lightness, zoom or in angle, the traditional matching algorithms would not be able to obtain satisfying matching results

    但當匹配模板與待匹配圖像之間存在亮度、縮放及角度旋轉等差異時，利用傳統的匹配演算法所得到的匹配結果不盡如人意。
  19. The results of the experiments show that, when there are different kinds of differences in lightness, zoom and angle between matching model and matched image, this kind of optimization algorithm based on evolutionary computation can solve the problem effectively

    實驗結果證明，當待匹配圖像和匹配模板之間存在亮度、大小縮放和旋轉角度差異的情況下，這種基於進化計算的圖像匹配演算法能夠進行正確匹配。
  20. Through a few images and some manual assistance, we can get the camera intrinsic and extrinsic parameters, and reconstruct scene, then use warping method to draw at new view point. the whole procedure can be divided into three part : computing camera intrinsic and extrinsic parameters by self - calibration, get depth information through matching image corresponding points and using warping to render image

    利用少量圖像和一定的人工輔助，獲得攝像機的內外參數，再對場景進行重建，最後使用warping方法完成新視點圖像的繪制。整個過程可分為三部分：利用自定標計算攝像機內外參數，通過匹配圖像對應點提取深度信息，使用warping進行圖像繪制。
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