摘要
能见度检测是计算机视觉与交通视频图像处理的热点问题。针对传统检测方法存在硬件成本高、适用范围小、检测效率低等不足,给出一种利用透射率和场景深度获取单幅图像能见度的检测方法。首先根据Koschmieder定律和ICAO推荐的对比阈值推导出能见度检测公式,然后根据大气衰减模型得到消光系数,利用暗通道先验理论获取透射率值,结合SFS(从阴影恢复形状)和双目模型获取场景深度值,最后通过求解消光系数反演图像的能见度。实验结果验证了该方法的有效性,精确度和检测效率有较大提高,且不需要相机内部参数,也不需要拍摄同一场景的多幅图像,操作简单、适用范围较广。
The traditional methods of single image visibility detection have the problems of high hardware cost,small application range and low detection efficiency.This paper proposes a new method of single image scene depth visibility detection.Firstly,the visibility detection principle is deduced according to Koschmieder law and ICAO recommended contrast threshold,and then the extinction coefficient is obtained according to the atmospheric attenuation model,the key factors affecting the visibility of the image,such as the transmittance and the depth of the scene,are determined.Then the transmittance value is obtained by using the dark channel prior theory,and the depth value of the scene is obtained by combining the SFS(shape from shadow)and the binocular model.Finally,the visibility of the image is inversed by solving the extinction coefficient.The experimental results verify the effectiveness of the method,and the accuracy and detection efficiency are greatly improved compared with the traditional detection methods.This method does not need the internal parameters of the camera,and does not need to take multiple images of the same scene,so it is easy to operate and has a wide range of applications.
作者
张鼎
蒋慕蓉
黄亚群
ZHANG Ding;JIANG Mu-rong;HUANG Ya-qun(School of Information Science and Engineering,Yunnan University,Kunming 650500,China)
出处
《计算机科学》
CSCD
北大核心
2021年第S02期420-423,共4页
Computer Science
基金
云南省高校科技创新团队支持项目(IRTSTYN19N07)。
关键词
带雾图像
能见度检测
场景深度
透射率
消光系数
Fogging image
Visibility detection
Image depth
Transmittance
Extinction coefficient
