連續邊緣圖像 的英文怎麼說

中文拼音 [liánxùbiānyuántúxiàng]
連續邊緣圖像 英文
continuous edge graphic （ceg）
  • 連 : Ⅰ動詞1 （連接） link; join; connect 2 （連累） involve （in trouble）; implicate 3 [方言] （縫） ...
  • 續 : Ⅰ形容詞（連接不斷） continuous; successive Ⅱ動詞1 （接在原有的后頭） continue; extend; join 2 （...
  • 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...
  • 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...
  • 連續 : continuation; succession; series; continuity; continuing; running; continuous; successive; contin...
  • 邊緣 : 1 （沿邊的部分） border; edge; fringe; margin; rim; limb; skirt; verge; brink; periphery 2 （靠近...
  1. 3. researching on the edge detection method of surface image. after using the edge detection operator for the preliminary abstracting, a series of extending work, such as grey bivalence 、 thinning 、 noise reduction and compagination have been done

    3 .對帶鋼表面圖像的邊緣檢測方法進行了研究及實現，採用邊緣檢測運算元對邊緣初步提取，進行了二值化、細化、去噪聲、連接等一系列后續處理工作，並且較好的判斷了邊緣是否良好的情況。
  2. The simulation result has indicated that using the method of two - value filter can solve the question perfectly, and the question is the edge discontinuity of traditional image classify base on region ; the image fusion which make use of edge gradually change is sententious and efficient ; the color image reinforcing which realized by grey statistics histogram equalization method has reduced the need of environment brightness in virtual photographing system

    模擬結果表明，利用二值濾波處理較好地解決了傳統的基於區域的圖象分類中的邊緣不連續的問題；利用邊緣漸變方式實現的圖像融合簡潔有效；由灰度統計直方圖均衡所實現的彩色增強處理降低了虛擬照相系統對環境照度的要求。
  3. In this paper, presents a new measuring method of the braiding angle of composites for the edge image with computer based on curve fitting theory. the method can suppress noise and absolve the problem of the point of edge is not continue

    本文在邊緣圖像的基礎上，根據復合材料自身的特點，提出了一種基於曲線擬合的編織角的自動測量方法，該方法能夠有效地解決噪聲、邊緣點不連續等問題。
  4. 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。
  5. On the basis of the probability density function of the disparity gradient, the mutual coordinate constraint of the corresponding points of the two adjoing points in the continous edge of the left image was educed, then the search area of the matching point in the right image was limited

    由視差梯度的分佈密度函數，導出了左圖像連續邊緣上相鄰兩點在右圖像中的對應點的坐標間的相互約束關系，從而限定了右圖像中匹配點的搜索范圍。
  6. Aiming at the characteristics of the marrow cell image, the paper adopts continuous wavelet transform to process image so that main edges can be detected from different angle in the meanwhile original image noise being eliminated

    摘要針對骨髓細胞圖像的特點，採用連續小波變換對圖像進行了處理，在消除原始圖像噪聲的同時，從不同的角度檢測出圖像的主要邊緣。
  7. This dissertation proposes an algorithm to detect edges and extract contours from medical images based on quadric spline wavelets transform. the algorithm can generate single, continuous and close contours. there are two main methods of surface reconstruction ? explicit connecting contours method and implicit function method

    利用小波變換良好的局部化特性和其固有的多尺度特性，具體針對醫學圖象邊緣輪廓提取的特點，提出一種基於二次樣條小波變換的邊緣檢測和輪廓提取方法，提取出單像素和連續封閉的邊緣輪廓。
  8. Aims at application, we mainly discuss face detection in two circumstance. ( 1 ) in the gray image, we use difference image in multi - frames, then get the edge of the face, we make the raw - location to ensure the approximate position of the face, next, we use the template of the face to occlude the pseudo face region and get the region which near the exact face region. ( 2 ) use method of two template matching, first, we get the face template from many face average, second, we copy the eye section of the face template then get the eye template

    文中首先介紹了圖像預處理的各種方法，重點介紹了圖像分割和人臉檢測定位，針對實際應用的要求，著重處理了兩種情況的人像檢測定位： （ 1 ）在灰度圖像下對連續輸入的多幀進行差分，對于得到的邊緣進行處理初步確定人像的大概位置，然後採用模板匹配進行精確定位。 （ 2 ）應用雙模板匹配的方法，由多人臉平均得到人臉模板和眼睛模板，在檢測中採取了首先使用尺度相對較小的雙眼模板搜索候選人臉，再用人臉模板匹配進一步篩選候選人臉的方法。
分享友人
分享到 Line

分享到臉書