更新背景圖像 的英文怎麼說
中文拼音 [gēngxīnbēijǐngtúxiàng]
更新背景圖像
英文
update background image- 更 : 更副詞1. (更加) more; still more; even more 2. (再,又) further; still further; furthermore
- 新 : Ⅰ形容詞1 (剛出現的或剛經驗到的) new; fresh; novel; up to date 2 (沒有用過的) unused; new 3 (...
- 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...
- 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...
- 更新 : renew; replace; renovate; update; renewal; angenesis; restoration; regeneration; kainogenesis; tu...
- 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
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Moving object detection adopts a method of dynamic difference background image, whose principle is to calculate difference picture among the current frames and background images and take the motion adjudging threshold which owns maximum information entropy to determine moving area ; and dynamically updates background by using kalman filter. thus, the system realizes the judgment of the moving area under the complicated changing background
運動目標檢測採用動態差分背景圖像法,其原理是利用序列圖像中當前幀圖像減去背景圖像,並採用使信息熵最大化的運動判決門限判定運動區域;採用kalman濾波動態背景生成實現了背景的動態更新;從而實現了復雜變化背景下圖像運動區域的判決。The main contents can be listed as follows : 1. after analyzing the properties of the natural illuminating system, a region - based background and natural illumination model is set up using the histogram of image difference and rls filter. on the basis of that model, we propose an adaptive algorithm of judging and updating background image
基於戶外自然光照系統的特點,建立了基於圖像差分直方圖和遞推最小二乘濾波( recursiveleastsquarefilter ,簡稱rls濾波器)的局域化背景和光照變化模型,提出了自適應的背景判斷和更新演算法。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。The thesis has implemented adaptive background model to detect moving objects. we propose to operate in the hue - saturation - value ( hsv ) color space, instead of the traditional rgb space, and show that it provides a better use of the color information, and naturally incorporates gray - level only processing. at each instant, the system constructs three gauss distribution for a pixel and maintains an updated background model, and a list of occluding regions that can then be tracked
此外,自適應的背景模板,採用圖像上的每個象素點的h 、 s 、 v的分佈為高斯分佈建立的三維模型,該模型與實際情況比較接近;在背景、前景的判斷上,充分利用了顏色信息;而且在更新演算法上也考慮了學習率的問題。Update background transform
更新背景圖像Drawn on such technologies and research of moving object detection as optical flow method, frame difference method and background subtraction method, this thesis proposes, based on the theory of statistic denoise, a new method of achieving background. compared with other methods of achieving image background, this approach can simultaneously achieve and update background
在對光流法、幀差法和背景減法的運動檢測技術研究的基礎上,本文提出了一種基於統計降噪原理的運動目標背景提取方法,與其它獲取圖像背景的方法相比較,此方法可同時完成背景的獲取和更新。The algorithm is built on the base of color image sub - way segmentation method. according to the hue and saturation, it can segment color image based on a histogram - based bi - threshold iterative. meanwhile, it captures some feature points to measure illumination variant, real - time update segmentation threshold
本演算法採用彩色圖像的分通道分割原理,以色度和色調為特徵量進行基於直方圖的雙閾值自動迭代分割,同時利用背景特徵點監測環境光照變化,自適應更新分割閾值。分享友人