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http://dx.doi.org/10.7840/kics.2017.42.3.673

Image-Based Fog Detection Algorithm Using a Neural Network  

Kang, Chung-Hun (Department of Electronic Engineering, Sogang University)
Kim, Gyeong-Hwan (Department of Electronic Engineering, Sogang University)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.42, no.3, 2017 , pp. 673-676 More about this Journal
Abstract
In this paper, we propose a day and night fog detection algorithm that is not affected by lighting conditions. First, we present the definitions and the extraction methods of fog features in daytime and nighttime environments, respectively. We then propose the fog detection algorithm using a neural network from the fog features. A set of experiments has been conducted with images taken at various environments, and the average recall of the proposed algorithm is 97.5%.
Keywords
fog detection; fog feature; feature extraction; image processing; neural network;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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