摘要
Abstract
Due to the badly hazy weather, it becomes more and more difficult for traffic supervision sys⁃tem to collect high quality urban traffic images. Firstly, some defogging algorithms were summarized and studied, and three kinds of defogging methods, which were Global Histogram, Homomorphism Filter, and Multi Scale Retinex (MSR), were contrasted. Secondly, the traffic foggy image was processed by these three methods and the processed effect was evaluated according to the texture features. The result shows that MSR algorithm is the best method for improving the image quality, which can restore and enhance image information effectively, as well as balance the display of close and far scene of image. Finally, an image processing operation system of GUI based on MATLAB was designed. The effectiveness of these three algorithms was verified by the system one by one and it is concluded that the system can effectively improve the clarity of image and optimize the traffic foggy images.关键词
图像处理/雾霾天气/全局直方图/同态滤波/Retinex/视觉理论Key words
image processing/hazy weather/Global Histogram/Homomorphism Filtering/Retinex/vision theory分类
交通工程
