邊緣銳度 的英文怎麼說

中文拼音 [biānyuánruìdù]
邊緣銳度 英文
edge sharpness
  • 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...
  • 銳 : Ⅰ形容詞1 （銳利） sharp; keen; acute 2 （急劇） quick; rapid; fast Ⅱ名詞1 （勇敢、堅強的氣勢） vi...
  • 度 : 度動詞[書面語] （推測; 估計） surmise; estimate
  • 邊緣 : 1 （沿邊的部分） border; edge; fringe; margin; rim; limb; skirt; verge; brink; periphery 2 （靠近...
  1. Clinical application of dynamic contrast - enhanced mr angiography of carotid artery with real - time fluoroscopic triggering

    頸部正常動脈連續性及邊緣銳利度等均優于
  2. The computer acquires the image of dial gauge by high precision ccd video, after that the computer will process the dial gauge image by some image - processing algorithms such as image segmentations, edge searching, area segmentations and locating the pointer by the " circle ". at last the computer will recognise the dial pointer position and work out the precision of dial gauge in accordance with nation criterion of dial gauge. this study presents several optimum algorithms to realize quick recognition of the pointer and calibration lines of detected dial and improve the accuracy and real time quality of detecting

    本系統由計算機控制步進電動機的運動，進而驅動指示表表針的運動，通過高精度ccd攝像機實時獲取表盤圖像數據，同時進行表盤圖像的相關處理，包括閾值分割、邊緣檢測、圖像銳化以及區域分割和定心圓檢測等，最終快速識別出表盤指針所處位置，最後根據國家指示表類檢定規程所制定的演算法檢定出指示表的各種精度，本系統所採用的圖像處理演算法運算量少，速度快，從而大大提高了系統的實時性。
  3. Based on perspective model, it was proposed that drawing camera inner parameters with physics method ; in image processing, especially the particularity of robot object localization and tracking, it was proposed that several effective methods of image smoothing and sharpening, edge detection, boundary tracking ; at the same time, in order to complete object recognition, we introduced the methods of drawing object character parameters ; in object image matching, two kinds of effective object matching arithmetic was proposed ; based on the principle of object 3d information restoration, we proposed two kinds of arithmetic of 3d coordinate restoration of object feature points, and completed object movement parameters estimate and object tracking and prediction, and presented experimental result

    以透視成像模型為基礎，提出了用物理方法來提取攝像機內部參數；從圖像處理角度出發，針對機器人目標定位與跟蹤的特殊性，提出了幾種行之有效的圖像平滑、銳化、邊緣提取以及邊界跟蹤的方法；同時，為了完成目標的識別，介紹了目標特徵參數的提取方法；在目標圖像匹配上，提出了兩種快速有效的目標匹配演算法；基於目標深度信息恢復原理，提出兩種目標特徵點三維坐標恢復的方法，同時完成了目標運動參數估計和目標的跟蹤與預報，並最後給出了實驗結果。
  4. Create a new layer and paint with a sharp edged brush a value slightly lighter and less saturated than the lightest sky color. darken it a bit at the bottom

    新建一個層，用銳利邊緣的筆刷和筆最亮的天空顏色亮一點低飽和度的顏色。在底部加深一點。
  5. In the traditional wavelet transform, because the wavelet filter and coefficient is fixed, as a result, when the discontinuous signal is analyzed, it will produce a lot of big wavelet coefficients in the transition, which makes against the compression. in the image processing, some image is roughness, and it may has sharp edges and oddity parts

    由於傳統小波變換的濾波器長度和系數是固定不變的，不能適應輸入信號而變化，這使得在分析非連續信號時，在躍變點兩側會產生大的小波系數;對具有尖銳邊緣、分段光滑或奇異點、圖文混合圖像處理效果很差。
  6. Exclusive cxprocess iii technology optimizes color saturation, edge sharpness, and image contrast to ensure that colors are rendered just as the human eye perceives them

    Konicaminolta專利的cxprocessiii影像處理技術為您提供最佳的色彩飽和度、邊緣銳利度以及影像對比度，讓影像的色彩效果猶如親眼所見。
  7. The main works are as follows : firstly, we compare image enhancement in wavelet domain with that based on unsharp masking and indicate that there is intrinsic relation between them, namely they both enhance images by enhancing the high frequency coefficients. because after an image is decomposed in wavelet domain, every high frequency can be enhanced. however, if unshrap masking is used, only one high frequency channel is enhanced

    本文主要研究了基於小波多分辨分析的圖像去噪和增強，主要工作如下： 1將反銳化掩模與基於小波多分辨分析的圖像增強進行了對比分析，指出它們之間存在著內在的聯系，即兩者都是對與圖像邊緣細節對應的高頻實行增強，而且指出前者只不過是後者的一個特例，因為小波分解后，多級尺度多個高頻通道可得到增，而反銳化掩模僅增強了一個高頻通道。
  8. The arithmetic expressed in this text solved contradiction between the watermark ' s transparence and the arithmetic ' s maleness, using the inlaid watermark of that arithmetic having goodly transparence, and the result of the experiment shows the arithmetic has goodly maleness to jpeg compress, noise, low channel filter wave, mosaic, signal tone up, secondary watermark, cut and zoom, especially to sharpen, strengthen contrast, strengthen edge, equilibrium, and so on, signal strengthen can hardly effect to get away the watermark

    實驗表明，本文演算法較好地解決了水印透明性與演算法魯棒性之間的矛盾，使用該演算法嵌入的水印具有較好的透明性，同時本文演算法對jpeg壓縮、噪聲、低通濾波、馬賽克、信號增強、二次水印、剪切和縮放等操作有較高魯棒性，特別是銳化、對比度增強、邊緣增強、直方圖均衡等信號增強處理幾乎不影響水印的抽取。
  9. Or, more exactly, the asteroid is lit from the normal map, but its normals are all smoothed ( from an artist point of view, all vertices share the same normals, there ' s no sharp edge anywhere, it ' s all in one single smoothing group )

    或者更確切地說，小行星是由法線貼圖生成，但是它的法線都被平滑處理了（從一個美工的角度來說，所有的頂點都共享同樣的法線后，就沒有銳利的邊緣了，就成了平滑的一團） 。
  10. Secondly, for the image edge detection, methods including the gradient method, the sharp - processing method, and the hough transformation were used, and the contour tracing was also conducted

    邊緣檢測處理部分採用了梯度處理法、銳化處理法、哈夫變換處理法，並對圖像作輪廓跟蹤處理。
  11. 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。
  12. Experiments on gray - level and color images show that it yields results with lower root - mean - squared errors and preserves better high - frequency details such as high contrast and sharp edges

    在灰度和彩色圖像上的實驗均表明該方法得到的結果具有更低的均方根誤差，而且更好地保持了高頻空間的細節，例如高對比度和銳利的邊緣。
  13. This method was divided into 4 steps : wiping out random noise by mean filter, reducing gaussian noise by gaussian filter, balancing brightness difference between stereo image pair through histogram equalization, and enhancing image edges and details by laplace sharpness

    此方法分為4個階段：用均值濾波去除隨機噪聲；用高斯濾波去除高斯噪聲；用直方圖均衡化法平衡立體圖對間的亮度差異；用拉普拉斯銳化增強圖像的邊緣和細節。
  14. Tests for sharpness of edges on equipment

    設備邊緣銳度的測試
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