基于高斯模糊逻辑的图像背景分离

Background Segmentation of Image Based on Gaussian Fuzzy Logic

图像的背景分离是图像处理中关键的步骤,具有十分重要的现实意义。通过背景分离方法,高效地得到图像背景是当前的研究热点之一。介绍一种基于高斯模糊逻辑的背景分离算法。算法充分考虑处理的实时性,平衡结果的有效性和处理的复杂性,保证系统的有效性和高效性。最后,在道路路面交通视频监控画面中进行仿真测试。实验结果表明,本文提出的算法能很好地分离监控视频画面的背景图像,可以使道路路面交通视频监控系统有效地摆脱环境、噪音等外部干扰。

The background segmentation of image is a critical step in image processing. It has very important practical signifi- cance. Getting background effectively and efficiently through background segmentation method is one of the current research focu- ses. An algorithm for background segmentation image based on Gaussian fuzzy logic is introduced. The algorithm fully takes into account the complexity of the real-time processing, the validity of the balance results of processing to ensure the effectiveness and efficiency of the system. Finally, simulation test on road traffic video surveillance images is carried on. The experiments show that the proposed algorithm can segmentation background images from surveillance video images. It helps to make the road traffic video surveillance system to effectively get rid of restricts from the environment and noise, as well as other external interference.