摘要
该文提出了一种固定场景下的图像序列自动分割的新方法。该方法分为两个阶段。在第一个阶段中,巧妙地采用形态学处理方法获得当前帧的运动区域,然后用当前帧对背景进行更新,经过数十帧的迭代,自动提取出初始背景;第二阶段对每帧作如下操作:首根据当前帧与背景的差分图像的直方图提取出噪声参数,并利用该参数求出对差分图像分割的双阈值,从而实现运动目标分割,最后再利用分割结果对背景进行自动更新。试验结果表明,用该方法进行分割不但效果好,而且速度快。
This paper presents a novel segmentation method for image sequence recorded by a stationary camera.The process includes two stages.In the first stage,the moving region of the current frame is derived from the binary image of the frame difference processed by morphological operation,then the current frame updates the background according to the binary image,and the background can be extracted after dozens of iterative operations of the subsequent frames.In the second stage,the process of every frame is as follows :the noise parameters of the camera are derived from the histogram of the difference image between the current frame and background,and the double thresholds which segment the difference image are acquired from the histogram of the difference image,and the difference image are binarized by the thresholds,then moving objects can be found and the background is updated according to the segmentation result.The experiment results show that the method can segment each frame image effectively and quickly.
出处
《计算机工程与应用》
CSCD
北大核心
2004年第29期146-148,219,共4页
Computer Engineering and Applications
基金
国家自然基金项目(编号:60134010)资助
关键词
差分
分割
形态学
背景提取
噪声
difference,segmentation,morphology,background extraction,noise
