关键词: 智能交通系统, 图像融合, 非下采样Contourlet变换, 区域特征衡量, 多聚焦交通图像

Abstract: The TV monitor is an important part of the intelligent transportation monitoring system. Its purpose is monitoring the vehicles, pedestrians, and environment through the video traffic image processing. According to the non-sampled Contourlet transform with the characteristics of multi-resolution, multi-directional, and translational invariance, the paper proposes a multi-focus image fusion algorithm based on the non-sampled Contourlet transform. The fusion strategy is that the low-frequency coefficient is used to calculate the average and the high-frequency coefficients are taken the greatest regional characteristics weight based on neighborhood, brother and parent information. After comparing the present method with the wavelet transform, the ridgelet transform, and Contourlet transform, the experimental results prove that the method mentioned in this paper can achieve a better fusion of results and can improve the image quality and meet the requirements of intelligent transportation control system.

Key words: intelligent transportation systems, image fusion, non-sampled Contourlet transform, regional characteristics weight, multi-focus traffic image