计算机应用
計算機應用
계산궤응용
COMPUTER APPLICATION
2010年
2期
370-373
,共4页
背景差分%光度特性%梯度分析%连接成分分析%阴影去除
揹景差分%光度特性%梯度分析%連接成分分析%陰影去除
배경차분%광도특성%제도분석%련접성분분석%음영거제
background subtraction%photometric property%gradient analysis%connected components analysis%shadow removal
提出了一种利用光度特性和多梯度分析去除运动阴影的算法.该算法是在准确地检测出运动目标的基础上,首先利用像素邻域内光度特性和连接成分分析法检测出候选阴影区域;其次比较分析候选阴影区域和背景中相应区域的梯度,并结合连接成分分析法去除阴影;最后使用边缘去除法进一步去除半影,并应用形态学运算完善结果.实验结果表明,同传统的阴影去除法相比,该算法有高检测率和高识别率.
提齣瞭一種利用光度特性和多梯度分析去除運動陰影的算法.該算法是在準確地檢測齣運動目標的基礎上,首先利用像素鄰域內光度特性和連接成分分析法檢測齣候選陰影區域;其次比較分析候選陰影區域和揹景中相應區域的梯度,併結閤連接成分分析法去除陰影;最後使用邊緣去除法進一步去除半影,併應用形態學運算完善結果.實驗結果錶明,同傳統的陰影去除法相比,該算法有高檢測率和高識彆率.
제출료일충이용광도특성화다제도분석거제운동음영적산법.해산법시재준학지검측출운동목표적기출상,수선이용상소린역내광도특성화련접성분분석법검측출후선음영구역;기차비교분석후선음영구역화배경중상응구역적제도,병결합련접성분분석법거제음영;최후사용변연거제법진일보거제반영,병응용형태학운산완선결과.실험결과표명,동전통적음영거제법상비,해산법유고검측솔화고식별솔.
An algorithm based on photometric properties and multi-gradient analysis was proposed to remove the moving shadows. After detecting moving objects accurately, firstly, photometric properties and connected components analysis were used to detect potential shadow regions; secondly, multi-gradient in potential shadow regions was compared with that in the background, and connected components analysis was adopted in order to remove the shadow; lastly, edge removal was imposed to further remove penumbra, and morphological algorithm was used to improve the performance. Compared to the conventional method, the experimental results validate that the algorithm has a high detection rate and a high recognition rate.
