Image-Based Fog Detection Algorithm Using a Neural Network 


Vol. 42,  No. 3, pp. 673-676, Mar.  2017


PDF
  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%.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

C. Kang and G. Kim, "Image-Based Fog Detection Algorithm Using a Neural Network," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 3, pp. 673-676, 2017. DOI: .

[ACM Style]

Chung-Hun Kang and Gyeong-Hwan Kim. 2017. Image-Based Fog Detection Algorithm Using a Neural Network. The Journal of Korean Institute of Communications and Information Sciences, 42, 3, (2017), 673-676. DOI: .

[KICS Style]

Chung-Hun Kang and Gyeong-Hwan Kim, "Image-Based Fog Detection Algorithm Using a Neural Network," The Journal of Korean Institute of Communications and Information Sciences, vol. 42, no. 3, pp. 673-676, 3. 2017.

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880