灰度視覺系統 的英文怎麼說

中文拼音 [huīdùshìjiàoxìtǒng]
灰度視覺系統 英文
grey scale vision system
  • 灰 : Ⅰ名詞1 （物質燃燒后剩下的粉末狀的東西） ash 2 （塵土; 某些粉末狀的東西） dust 3 （特指石灰） lime...
  • 度 : 度動詞[書面語] （推測; 估計） surmise; estimate
  • 視 : Ⅰ動詞1. （看） look at 2. （看待） regard; look upon 3. （考察） inspect; watch Ⅱ名詞（姓氏） a surname
  • 覺 : 覺名詞（睡眠） sleep
  • 系 : 系動詞（打結; 扣） tie; fasten; do up; button up
  • 統 : Ⅰ名詞1 （事物間連續的關系） interconnected system 2 （衣服等的筒狀部分） any tube shaped part of ...
  • 視覺 : [生理學] vision; visual sense; sense of sight; visus; sight; optesthesia
  • 系統 : 1. （按一定關系組成的同類事物） system 2. （有條理的;有系統的） systematic
  1. Measuring method and technique that 3d surface shape is recovered from 2d gray image ( shape from shading ) can obtain surface shape by natural way and easily realize the information integration of intersystem. particularly, this technique belongs to non - contact measurement, and it has become a puzzle and hotspot question in image measuring domain based on vision in recent years

    直接由物體的二維灰度圖像恢復其三維幾何形狀（由明暗恢復形狀）的曲面測量方法和技術，能以自然方式提取物體表面的形狀信息，且易於實現系統間的信息集成，尤其是該方法屬于非接觸測量方法，特別適合於測量由彈性模量低的易變形材料製成的零件，近年來一直是基於視覺的圖像測量領域研究的難點和熱點問題。
  2. This dissertation discusses image segmentation technology based on the image visual features, the image neighborhood moment analysis and the related image detection and segmentation system. and the key functional modules ’ analyzed are as follows : the image neighborhood moment ’ s analysis, the adaptive clustering after the visual moment transformation, the boundary detection of the object image and the extraction of the object image area of similar visual brightness

    本文討論了圖像視覺特徵鄰域矩分析和基於視覺特徵矩的檢測分割技術，並分析系統中的關鍵模塊:圖像鄰域分析，視覺特徵矩變換后的自適應聚類，目標圖像的邊緣檢測，視同灰度區域的視同灰度提取。
  3. Algorithms of video segmentation that are good adaptive character and real time are crucial to the final mpeg 4 coding products there exist the contributions in this dissertation as follows obtaining the edge of video objects is crucial to the video segmentation, author researches the features of human being visual, especially giving a description of mach band that is usually used in the image processing, and builds a model of mathematics, researching the mach band of color image

    （ 1 ）視頻分割的關鍵是獲得視頻對象的邊界，邊緣檢測很重要，本論文以人類的視覺系統的特性為出發點，對圖像處理中經常應用的馬赫帶現象進行了詳盡的分析並進行了數學建模，研究分析了彩色圖像的馬赫帶現象。在對馬赫帶圖像分析的基礎上，得出了人類視覺系統對圖像邊緣能識別的最小灰度差和彩色差曲線。
  4. In order to meet the needs of this application, we propose several approaches to compute reliable dense depth maps, such as a feature - constrained stereo matching algorithm, a stereo matching algorithm based on gray segments and a stereo matching algorithm based on fuzzy identification, we demonstrate these techniques on synthetic and real image pairs, indicating that these approaches are feasible

    圖像深度提取一直是計算機視覺領域的中心研究問題，為了得到圖像繪制系統必需的比較精確的高密度深度圖像，我們相繼提出了基於特徵約束的立體匹配演算法、基於灰度段的立體匹配演算法和基於模糊判別的立體匹配演算法，通過實驗驗證上述三種演算法均獲得了良好的效果。
  5. Taking the key scientific and technological project of henan province “ the development of the binocular vision surveillance system ” and henan innovation project for university prominent research talents “ the distributed image segmentation based on the pgf and fuzzy technology ” as the research background, this thesis devotes main efforts to the research of some problems of the face recognition ( especially the problem of the eyes location ), mainly including : ( 1 ) considering the eyes location in gray image with complex background, an improved method of human eyes location is presented based on the threshold

    本文以河南省自然科學基金攻關項目「雙目視覺監控系統研製」和河南省高校傑出科研人才創新工程項目「基於pgf和模糊技術的分散式圖像分割」為依託，對人臉識別中的若干問題，特別是人眼定位，進行研究。主要工作歸納如下:第一，針對復雜背景下灰度人臉圖像中人眼定位的問題，本文提出了一種改進的基於閾值的人眼定位演算法。
分享友人
分享到 Line

分享到臉書