Local Fog Detection Based on Saturation and RGB-Correlation

Salma Alami, A. Ezzine, Fouad Elhassouni
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引用次数: 9

Abstract

Fog is a natural and meteorological phenomenon that seems to be very dangerous for road driving. In its presence, the driver has a high perturbation in his field of view and must redouble vigilance. Therefore, it's primary to detect its presence to be able to adapt any advanced driver assistance system according to the density of fog. In this paper, we present a new local approach for detecting daytime fog based on the saturation and the correlation between the components of the RGB color space computed for a region around the picture vanishing point. Results show good fog detection for synthetic pictures and fast time-computation.
基于饱和和rgb相关的局部雾检测
雾是一种自然气象现象,对道路驾驶来说似乎是非常危险的。在它的存在下,驾驶员的视野受到高度干扰,必须加倍警惕。因此,首先要检测到它的存在,以便能够根据雾的密度调整任何先进的驾驶辅助系统。在本文中,我们提出了一种新的局部检测日间雾的方法,该方法基于饱和度和图像消失点周围区域计算的RGB色彩空间成分之间的相关性。结果表明,对合成图像的雾检测效果好,计算速度快。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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