邊緣徵象 的英文怎麼說

中文拼音 [biānyuánzhǐxiàng]
邊緣徵象 英文
silhouette sign
  • 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...
  • 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...
  • 徵象 : sign
  1. The dissertation selects the scenic spot on urban fringe as the object of study, deeply analyzes the traffic flow features and the demand - supply relationship in them, and summarize the rules and problems of them. in the delight of the traffic demand management policy ( tdm ) which aims at resolving the urban traffic problems in big cities in general use aboard at present, the dissertation makes a deep study on the theory mechanism, brings forward the theory of tourism traffic planning based on tdm, and makes a concrete analysis of the li shan scenic spot which is mainly composed of qin shihuang mausoleum

    本論文以大城市邊緣風景名勝區為研究對象，在對其旅遊交通流特徵和需求供給關系深入剖析的基礎上，歸納總結了城緣風景名勝區旅遊交通的規律和問題，以當前國外通行的以解決大城市交通問題為主旨的交通需求管理（ tdm ）策略為切入點，通過對tdm機理的深入分析研究，提出了基於tdm的旅遊交通規劃理論，並以此對以秦始皇帝陵為主體的驪山風景名勝區進行了實證分析。
  2. And then the paper gives the image processing methods used in the geometrical parameter measuring system. according to the process of the image processing, it introduces the following three methods in order : image pretreatment method which consists of the average value of neighbour area and lowpass ; image segmentation method which involves threshold segmentation, edge detection, image thinning and edge connecting ; the image matching method consiting of picking up feature point, matching and rebuilding

    然後給出了在幾何量測量系統中所用到的圖象處理方法。依照圖象處理的過程，先後介紹了圖象預處理的方法，包括鄰域平均法和低通濾波法；圖象分割方法，包括二值化、邊緣檢測、細化以及邊緣連接等；圖象匹配的相關方法，包括特徵點的提取、匹配及重建。
  3. Both absolute difference and relative difference among per capita gdps of 14 cities ( prefectures ) increased year by year since 1990 - the absolute difference increased linearly - - and this increased tendency would n ' t change in short period. by counting the discrete and ratio between per capita gdp of every city ( prefectures ) and that of the total province, the relative development speed of every region and the industrial structure of every region, i think that the characteristic of the spatial structure of regional economic difference in hunan is that the area along the beijing - guangzhou railway line in the east of hunan developed fast, while the vast area in the west of hunan developed slowly, so the regional difference increased constantly. on the difference background between the east and the west of hunan, there is the difference between central region and fringe region, for one thing it shows ring difference, namely chang - zhu - tan internal ring, surrounding chang - zhu - tan medium ring, the outermost external ring, the most underdeveloped counties lie on the fringe and mountain regions in the west, south and east of hunan, for another it displays that the peripheral regions of 13 prefectural cities are more developed than the other

    文章還建立了反映基礎設施水平、經濟發展水平、社會發展水平的23個主要指標構成的湖南省區域差異衡量指標體系，在此基礎上，藉助spss統計分析軟體，運用主成分分析法，對湖南省14個市州經濟發展綜合水平的差異狀況進行了研究，結果表明：長沙市的經濟發展綜合水平在14個市州中遙遙領先，反映了湖南省經濟發展空間結構的「單極主導」特徵；通過計算人均gdp的標準差和標準差系數，研究區域經濟差異的總體水平及區域經濟不平衡發展的演變趨勢，發現90年代以來湖南省各市州人均gdp的絕對差異和相對差異都在逐年擴大，其中絕對差異隨年份直線上升，且這種差異擴大的趨勢在短期內難以改變；通過計算各市州人均gdp與全省人均gdp的離差和比率、各市州發展速度的差異及產業結構的差異，認為湖南省區域經濟差異的空間特徵是：湘東京廣沿線地區基礎較好，發展較快，湘西地區發展緩慢，地區差異不斷擴大；通過以縣為對象的差異研究發現在湘東湘西差異的大背景上還有核心區與邊緣區的差異，它一方面表現為長株潭內層、圍繞長株潭的中層、更遠的外層的圈層差異特徵，最落後的縣分佈於湘西、湘南、湘
  4. 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。
  5. Two spatially registered images with different focuses are decomposed into several blocks. then, three features reflecting the clear level of every block, i. e., spatial frequency, visibility, and edge, are calculated. finally, artificial neural networks, i. e., multilayer - perceptron, radial - basis function, probabilistic neural network, are used to recognize the clear level of the corresponding blocks to decide which blocks should be used to construct the fusion result

    具體實現過程概述如下：首先將兩幅（或多幅）配準圖象進行分塊處理，提取兩幅圖象中對應塊的能反映圖象清晰度的三種特徵，即空間頻率、可見度和邊緣，將特徵歸一化後送入訓練好的神經網路進行識別，根據得到的結果依據「誰清晰誰保留」的原則構成融合的圖象。
  6. After histogram transform, enhancement, smoothing, pre - segmentation, edge extraction and thinning, we get an image with clear edges. after extracting of feature units, we describe the shape of airports with straight - line segments and distinguish different objects with the length of the lines, which can achieve the computer - aided auto - recognition of airports

    經過直方圖變換、圖象增強、圖象平滑、圖象預分割、邊緣提取和細化后，得到了清晰的邊緣信息圖象，通過特徵基元的提取和識別，用直線段來描述直線狀目標，而用直線段的長度來作為目標定量特徵的描述，可以實現遙感影像機場目標的計算機識別。
  7. To deblur edge after image magnifying, an adaptie edge sharpness presering image magnification is put forword, which can fit edges of any direction, gradient and amplitude, utilizing the gradient imgormation of the image and the properties of the hyperbolic tangent function haing reiewing the character of a typical edge

    針對圖像放大后出現邊緣模糊的現象，論文考察了典型邊緣的特徵，利用圖像的梯度信息和雙曲正切函數的性質，提出了一種較好地擬合任意方向、陡度和幅度的邊緣，因此能夠保持邊緣銳度的自適應圖像放大演算法。
  8. The course of extracting shape feature is : after medium filtering, edge detection and thresholding, the edge of image is obtained, then it is simplied as approximate polygon. a mutual template matching approach is proposed

    本文實現了形狀特徵提取模塊，具體實現的過程是：通過圖象的濾波、邊緣檢測、二值化處理得到圖象的邊界輪廓，最後將輪廓邊界簡化表示為近似多邊形。
  9. 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。
  10. A two - stages orientation of object has been developed, which is general orientation firstly, then from this orientation point expanding to search the edge of the objective region. it can ge the center of the image after extracting the image edge. this method can greatly reduce the computer quantity of the feature extract and stereo matching and then improve the speed of recognition

    提出並實現了分階段定位策略，即先宏觀粗定位，然後從從該點出發向外擴張尋求目標區域的邊緣輪廓，提取到圖象的邊緣后，再獲取圖象形心，該方法大大減小了特徵提取和立體匹配的計算量，提高了識別速度。
  11. It introduces an independent edge self - reinforcement algorithm to link edge curves and strengthen the salient edges. according to the reinforced results, the salient edges of the image could be easily extracted, and the image features are thus described by those salient edges

    它利用獨立邊界自增強演算法來連結邊緣和增強顯著邊緣，依靠增強后的結果，就能夠較容易地提取圖象中的顯著邊緣，使用顯著邊緣的特徵代表圖象的形狀特徵。
  12. To deblur edges after image magnification, an edge sharpness presering noisy image magnification simultaneously denoising effectiely is put forward, which adopts the idea of total ariation model, after haing reiewing the character of a typical edge

    針對圖像放大后出現邊緣模糊的現象，該文考察了典型邊緣的特徵，利用整體變分思想，提出了一種基於變分模型的有噪圖像放大演算法。
  13. The paper is based on the project of " the research of mathematics and computer frequency dynamic simulation theory on knobs not result ". the research content is object to the image of log knobs by vidicon getting to detect the shape of log knobs according to the method of video disposal. the paper apply digital image processing technology to log knobs image to swell and detect borders, then distill the surface shape and characteristic parameter of knobs. the thesis depict the knobs three - dimensional models, build the mathematics models of log knobs and simulation two - dimensional image curve of the log knobs primary section which has been discerned, thereby achieve our researching aim to reappear the knobs image on computer

    本論文是國家自然科學基金資助項目「節子ndt結果的數學描述與視頻動態模擬理論的研究」的基礎研究之一，論文的研究內容是通過視頻處理的方法檢測原木表面節子的形狀，以攝像機採集的原木表面節子圖像為對象，運用數字圖像處理技術對節子圖像進行修正、增強、邊緣檢測等處理，提取節子的形狀特徵參數，並運用數學的方法，歸納總結其規律，應用數學的方法對節子的二維模型進行描述，建立原木節子的數學模型，對識別出的原木節子主截面的三維圖像曲線進行擬合處理，從而在計算機上實現節子的分佈與形態的再現，達到研究節子的空間形態和分佈規律的目的。
  14. At the same time, based on the character - selecting principles of recognition and the fact that many important objects in remote sensing images behave linear and the practical need of recognition of these objects, we point out that the edge information represents the image content and raise the method of character extraction and recognition through linear shape

    同時根據目標識別的特徵選擇原則，從遙感影像許多重要目標表現為線性形狀的特點及這些目標識別的實際需求出發，提出了以目標邊緣信息作為反映圖象內容的一個特徵，研究了基於線狀目標的特徵提取和識別的方法。
  15. Edge usually owns the main information of image and lies in the anomalous and unstable location which gives the position of image profile. the profile is usually the most important characters of image during the processing of image, so it is necessary for us to detect the image and get the edge image

    邊緣往往攜帶著一幅圖像的大部分信息，而邊緣存在於圖像的不規則結構和不平穩現象中，也即存在於信號的奇異點或突變處，這些點給出了圖像輪廓的位置，這些輪廓則常常是在圖像處理時所需要的非常重要的一些特徵條件，這就需要對一幅圖像檢測和提取出它的邊緣。
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