摘要
通过对低能见度情况下道路交通安全进行分析,利用暗原色先验方法对路况图像进行清晰化,并以VC++为平台开发了一套辅助驾驶员清晰识别路况的系统。实验表明,该系统具备时时性,且能获得满意的清晰图像,从而可辅助驾驶员在低能见度情况下,清晰识别路况,避免交通事故。
According to analysis of traffic safety with low visibility, dark channel prior algorithm is utilized to clear the traffic image. Then VC＋＋ is used to establish a system, which can be Uses toaid driver to identify the road＇s condition At last, the experimental result shows that the system can clear image immediately. SO driver Can identify road dearly,and traffie aeeident can be avoided with low visibility.
出处
《物流科技》
2014年第3期27-28,共2页
Logistics Sci-Tech
基金
黑龙江省教育厅科学技术研究项目
项目编号:12511454
关键词
能见度
图像
清晰化
暗原色先验
visibility
image
clearness
dark channel prior
