Local Fog Detection Based on Saturation and RGB-Correlation
Salma Alami, Abdelhak Ezzine, Elhassouni Fouad · 2016
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.