期刊名称:International Journal of Signal Processing, Image Processing and Pattern Recognition
印刷版ISSN:2005-4254
出版年度:2016
卷号:9
期号:1
页码:147-158
DOI:10.14257/ijsip.2016.9.1.14
出版社:SERSC
摘要:The traditional dual differential luminance algorithm was influenced by the surrounding environment, and was not applicable to accurate detection at night. In view of the interference factors of reality, this paper improved the dual differential luminance algorithm by using the method of amending coefficient. Meanwhile, combined with the traffic emergency control measures under different visibility, ten detection modes were subdivided. The next, an experimental system was built in the Meteorological Observatory of Beijing, and the detection software was developed. At last, the experimental data was compared with the correlation values of scatterometer. The results show that the detection accuracies are raised, and the optimized algorithm and system can be used for highway network visibility detection.