Video contrast visibility detection algorithm and its implementation based on camera self-calibration

被引：0
|
作者：
Chen Z.-Z. [1 ]
Chen Q.-M. [1 ]
机构：
[1] Institute of Communication Technology, Nanjing University
来源：
Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology | 2010年 / 32卷 / 12期
关键词：
Camera self-calibration; Contrast; Curve fitting; Video visibility; Wavelet transform;
D O I：
10.3724/SP.J.1146.2009.01630
中图分类号：
学科分类号：
摘要：
Because trandition meteorological sensor's range is limited and hard to be erected, video detections require good external conditon and are easliy effected by nosie. A new method of detection of visibility is proposed based on camera self-calibration. And a system of visibility detection is constructed. The camera self-calibration, wavelet transform, video contrast detecting model, curve fitting is used to overcome disadvantages of tradition detections algorithms at distance, targets, noise and stability. Now the system has been used on 1/5 of Jiangsu's high-ways. The errors of result conform to national and foreign standards.
引用
收藏
页码：2907 / 2912
页数：5
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