底图干扰下非均匀运动图像阴影滤除仿真

Non-Uniform Motion Image Shadow Filtering Simulation under Basemap Interference

在非均匀运动图像中,由于运动目标形成的阴影总是对运动图像处理工作有所干扰。因此研究底图干扰下非均匀运动图像阴影滤除的方法,采用卡尔曼滤波对背景图像进行提取,将当前所处帧图像和所提取的背景图像进行差分计算;利用色彩信息和亮度信息在背景图像中检测出目标运动区域,采用RGB分量对目标运动区域阴影的灰度距离和色彩距离进行检测,得出背景像素值和阴影像素;最后通过像素值替换将图像阴影的像素值替换成背景像素值,完成对非均匀运动图像阴影的滤除。通过分析仿真结果可知,所提方法避免了过程较为繁琐的边缘检测等运算,加速了阴影检测的速度,实现高效准确地滤除运动图像阴影。

In the non-uniform moving image, the shadow formed by the moving object always disturbs the moving image process. Therefore, this paper proposed a method of shadow filtering for non-uniform moving image under the interference of base map. At first, the background image was extracted by Kalman filter. And then, current frame image and the extracted background image were compared by differential calculation. Moreover, the color information and brightness information were used to detect the target motion area from the background image. Meanwhile, RGB components were used to detect the grayscale distance and the color distance of shadow in target motion area. The background pixel value and the shadow pixel were obtained. Finally, the pixel value of image shadow was replaced with the pixel value of background. Thus, the filtering of shadow of non-uniform moving image was completed. By analyzing the simulation results, we can see that the proposed method avoids the edge detection and accelerates the shadow detection. Thus, the efficient and accurate filtering of moving image shadows can be achieved.