閾下背景 的英文怎麼說

中文拼音 [yùxiàbēijǐng]
閾下背景 英文
subthreshold background
  • 閾 : 名詞1. [書面語] （門坎兒） threshold; doorsill2. （界限; 范圍） threshold
  • 下 : 下動詞1. （用在動詞后,表示由高處到低處） 2. （用在動詞后, 表示有空間, 能容納） 3. （用在動詞后, 表示動作的完成或結果）
  • 背 : 背動詞1. （用脊背馱） carry on the back 2. （擔負） bear; shoulder
  • 景 : Ⅰ名詞1 （風景; 景物） view; scenery; scene 2 （情形; 情況） situation; condition 3 （戲劇、電影的...
  • 背景 : （布景; 襯托主體事物的景物; 對人物、事件起作用的歷史條件或現實環境） background; backdrop; setting
  1. A statistical method is used to obtain the background model, which is updated real time in order to adapt to illumination changes and scene changes. after threshold operation, morphologic operation and connected region area measurement are introduced to solve background disturb problem. at last, shadows are detected using hsv color space information and gets exact moving regions

    該方法首先利用統計的方法得到背景模型，並實時地對背景模型進行更新，以適應外界光線變化和場景本身的變化，閾值操作后，用形態學和連通域檢測的方法進行后處理，消除噪聲和背景擾動帶來的影響，最後，在hsv顏色空間下檢測出陰影，得到準確的運動對象區域。
  2. The main work is as follow : the pater makes use of vanguard genetic algorithms in image segmentation, uses vanguard genetic algorithms to get the image threshold. using this method we may get different grey vehicles from the background exactly. used the support vector machine theory to conduct the vehicles automatic sorting simulation research, the simulation result had proven this method could quite be accurate carries on the vehicles type the recognition ; improved based on the background automatic renewal hypothesized examination region algorithm, enhanced timeliness and the accuracy which the vehicles examines ; and to has carried on the specify based on the hypothesized examination region imagery processing algorithm realization ; in the paper also introduced withdraws the algorithm based on the gradation continuous movement vehicles characteristic to carry on the vehicles the characteristic to withdraw as well as to use the localization method which colored filter same gradation chart processing unifies to carry on the realization method which the vehicles license plate locates

    本文根據智能交通控制與模擬對于交通流量、車輛到達率、車輛速度等交通信息檢測的需求，基於視頻圖像進行了交通信息處理的演算法研究與實現，主要工作包括以下幾個方面:將先鋒遺傳演算法應用到圖像閾值分割中，利用先鋒遺傳演算法尋求全局最優閾值，可以比較準確的將圖像中不同灰度的車輛從背景中分離出來;採用支持向量機理論進行了車輛自動分類的模擬研究，模擬結果證明該方法能夠比較準確的將車輛的類型進行識別;改進了基於背景自動更新的虛擬檢測區域演算法，提高了車輛檢測的實時性和準確性;並對基於虛擬檢測區域的圖像處理演算法實現進行了詳細說明;論文中還介紹了基於灰度連續性的運動車輛特徵提取演算法進行車輛的特徵提取以及採用彩色過濾器同灰度圖處理相結合的定位方法進行車輛牌照定位的實現方法。
  3. 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。
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