邊緣特徵 的英文怎麼說

中文拼音 [biānyuántèzhǐ]
邊緣特徵 英文
edge feature
  • 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...
  • 特 : Ⅰ形容詞（特殊; 超出一般） particular; special; exceptional; unusual Ⅱ副詞1 （特別） especially; v...
  • 徵 : 名詞[音樂] （古代五音之一 相當于簡譜的「5」） a note of the ancient chinese five tone scale corre...
  • 邊緣 : 1 （沿邊的部分） border; edge; fringe; margin; rim; limb; skirt; verge; brink; periphery 2 （靠近...
  • 特徵 : characteristic; feature; properties; aspect; trait
  1. 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。
  2. We selected several landscape metrics, such as landscape diversity metrics, edge index, fractal dimension, evenness index, contagion index and so on

    對綠洲-荒漠景觀的鑲嵌測定包括景觀多樣性、邊緣特徵、分維數、均勻度、分散度和蔓延度等。
  3. This article introduces gray image processing technology. firstly, in order to eliminate noise, optimize image and get precise edge feature, a series of preparations can be done to fracture image such as histogram equalization, binarization, edge enhancement, and so on

    本文採用灰度圖像處理技術，首先對疲勞斷口圖像進行直方圖均衡化、二值化、邊緣增強等預處理來消除噪聲，優化圖像，以得到精確的邊緣特徵。
  4. About the retrieval technique of the video, this paper analysed the basic principle and the key technology of content ? ased retrieval, have designed one content ? ased video retrieval system ' s frame model, and distillde the edge characteristic in static characteristic, expounded one arithmetic that based on modified laplace operator and obtained a better result

    對于視頻檢索技術，分析了基於內容檢索的基本原理及關鍵技術，設計了一種基於內容視頻檢索系統框架模型，並對靜態特徵中的邊緣特徵提取，提出一種基於拉普拉斯運算元的改進演算法，取得了較好的效果。
  5. The paper forms the three information measures into measure vector as the input of cmac - cerebellar model articulation controller neural network and proposes a method of edge detection based on information measures and cmac. the edge contours generated by this method is very legible. the method has a high runtime performance and improves the resistance to noise

    本文將圖像的三個信息測度作為分量組成邊緣特徵的測度向量，作為小腦模型神經元網路? cmac的輸入，提出一種基於信息測度和cmac網路的邊緣檢測方法，用該法得到的邊緣輪廓清晰，實時性好，並且抗噪能力有明顯提高：將上述邊緣檢測方法應用於無人值守變電站，提出一種瓷瓶裂紋故障監控方案。
  6. In the fourth chapter, feature detection is discussed. spatial moments not only can accurately describe edge detection and detect subpixel edge feature but alse have rotation invariance

    第四章對特徵提取的方法進行了研究，空間矩能夠很好地描述圖像的邊緣特徵，利用它能夠進行亞象素邊緣提取，並且具有很好的旋轉不變性。
  7. Census ' s searching area is limited in a square whose side length is two times maximum of disparity. as the searching area ' s lessening, the operating speed increase greatly

    應用census是在邊緣特徵點匹配后所得最大視差的基礎上進行的，那麼此時的搜索范圍可以控制在最大視差內，從而大大提高了運算速度。
  8. This article, aiming at the specialties of rmb currency image, puts forward a new method using linear transform of image gray to diminish the influence of the background image noises in order to give prominence to edge information of the image. then the edge characteristic information image is obtained by edge detecting using simple statistics. by dividing the edge characteristic information image in the width direction into different areas, getting the number of the edge characteristic points of different areas as input vectors to random masks and optimized by ga

    文中提出了利用圖像灰度線性變換來抑制背景圖案噪聲的影響，突出圖像邊緣信息；然後採用簡單統計法進行邊緣檢測，得到邊緣特徵信息圖；最後通過對邊緣特徵信息圖在寬度方向上進行均勻劃分成不同的區域，統計不同區域的邊緣特徵點的數目作為神經網路的初始輸入向量，對初始輸入向量用隨機掩碼處理和遺傳演算法進行優化得到最終輸入向量，通過三層bp神經網路分類器進行分類，達到了人民幣識別的目的。
  9. A vision - based license plate identification system has to be robust, since the plate may be inclined or distorted, the characters may be blurred and the strokes become disconnected. the algorithms also have to be adaptable since the light condition and image capture position could vary. the license plate identification system has to implement license plate region identification, character extraction and character recognition. we use edge features and shape features to locate the plate region, in this process image enhance and mathematical morphology are used

    本論文的研究重點主要包括牌照的定位、牌照中字元的分割和字元識別三部分，通過對圖像處理和分析技術的綜合運用以及對問題本身特點的詳細考察，最終實現了基於邊緣特徵和形態學分析的牌照定位演算法，在圖像預處理方面採用灰度變換、同態增晰和平滑演算法對圖像進行處理，提高了牌照圖像的質量。
  10. 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。
  11. An image corresponding method based on feature is put forward in the second chapter, because of using edge feature of image, the corresponding speed is improved. edge feature extraction is an important problem in the image correponding. traditional extraction method can not meet the requirement of image corresponding, a template based area weight marking edge detection method ( tbawsedm ) is put forward, on the basis of it, a fast point correspondence strategy is investigated. image corresponding is limited to edge scope, it can make the image correponding fast and improve the veracity

    圖像拼接的主要問題是確定相鄰圖像間的對應點，即圖像匹配，我們在第二章中提出了一種基於特徵的圖像對應方法，由於充分利用了圖像的邊緣特徵，大大提高了圖像的對應的速度;圖像對應中的邊緣特徵的提取是一個重要的問題，傳統的邊緣提取方法不能滿足圖像對應的需要，我們提出了一種基於模板的區域權值標記邊緣檢測方法（ templatebasedareaweightsigningedgedetectionmethod簡稱tbawsedm ） ，在此基礎之上研究了一種基於特徵的快速點對應策略，將對應點的確定范圍限定在邊緣的范圍內進行，加快了圖像對應的速度，提高了圖像點對應的準確性。
  12. Furthermore land use spatial pattern composed of the land use patch type, amount, size, figure, edge character, location and so on contained abundant land use temporal and spatial evolvement information

    而由土地利用斑塊的類型、數量、大小、形狀、邊緣特徵、位置空間關系等決定的土地利用空間格局，更蘊含著土地利用豐富的時空演變信息。
  13. 2. the characteristics of image edges can be described by information measures quantificationally

    2 ）信息測度能夠很好地定量描述圖像的邊緣特徵。
  14. After discussing the basic knowledge of remote sensing and the interferential factors in remote sensing images, the paper analyzes the pre - processing technology that is fit for shape analysis and expression and edge feature extraction based on the requirement of object recognition

    在討論遙感影像的基礎知識和分析遙感影像數據中的干擾因素的基礎上，從目標識別的要求研究了適合於進行形狀分析和描述以及邊緣特徵提取的各種預處理技術。
  15. To effectively extract edges, edge pixels are classified according to the difference of intensity distribution, and multiple effective edge features are defined. edges are detected by applying fuzzy reasoning ( min - max centroid method ), based on local image edge characteristics

    該方法在重新定義邊緣特徵的基礎上，引入模糊推理理論，從而形成了基於多邊緣特徵和模糊推理的邊緣檢測方法。
  16. About feature extraction, a new method of image edge detection, using multiple edge features and fuzzy reasoning, is submitted

    在邊緣檢測技術的研究方面，本文提出一種新的邊緣特徵檢測方法。
  17. Remote sensing image fusion based on multiscale fuzzy edge features

    基於多尺度模糊邊緣特徵的遙感影像融合方法
  18. Getting their equal relationship. by investigating the property of diffusion function we proposed an anisotropic diffusion function, the smoothing effects produces sharper boundaries

    在研究perona ? malik給出的系數分佈函數性質基礎上提出了一個改進的系數分佈函數，其處理結果能使邊緣特徵更加突出。
  19. The method we designed first selects local area with typical object and extracts edge information from these object, then feature points is matched using a criterion combined with edge shape and gray - level information. in such steps, we obtain robust and steady control point using for image registration

    本文描述的方法通過選取圖像中的典型區域，利用地物特點提取邊緣特徵，並利用邊緣形狀信息和局部灰度統計信息結合作為特徵點提取及同名點匹配的判別準則，可得到符合地物性質及直觀認識的匹配特徵點。
  20. One of the shortcomings of edge detection in large scale is that it ' s difficult to locate edge precisely, which will make mistakes in pattern recognition based on edge features

    但在大尺度下進行邊緣檢測的一個缺點是邊緣位置容易發生偏移。這對于基於邊緣特徵的模式識別而言會造成誤識別。
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