Abstract
In this paper, a real-time fog detection method using a low cost b&w camera is presented. This method is based on gray histograms which would show the correspondence relationship between the gray value and the number of the pixels. Compared with foggy-free images, we notice some characteristics of foggy images, and these characteristics are also reflected in their gray histograms. Using the data from a gray histogram and a series of thresholds, we can detect whether the original image is under fog conditions. Moreover, we divide the weather conditions into three fog levels. Some experimental results and conclusions about this work are presented.
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