Traffic sign image segmentation method based on background pixels mutation analysis
基于背景像素突变检测的交通标志图像分割

To improve the effect and efficiency of processing traffic sign images, this paper put forward an effective algorithm to obtain the global segmentation threshold based on the histogram information of traffic sign image in color saturation space, the point grey information and region grey information especially. It confirmed a variation of return-standard deviation based on the histogram information of saturation space. And then proposesd a method to obtain the global segmentation threshold. It collected and tested a number of traffic sign images, and made some comparison between other common segmentation methods in HIS space with this algorithm on the basis of the segmentation results of the tested traffic sign images. Finally, it discussed the relationship between some parameters in the algorithm and experimental results, which show that this algorithm is effective in selecting segmentation threshold of traffic sign images and can be generalized to other aspects of image processing fields.