<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper presents a fog detection algorithm, highlighting the significance of continued exploration in fog identification through image processing techniques. The advancement and application of this algorithm can significantly benefit various domains, including road safety, environmental monitoring, navigation, security, surveillance, and improving existing systems’ performance. The evaluation performed on test images have shown an accuracy of 72%, a precision of 94%, a recall of 57% and an F1 score of 0.71. The proposed algorithm clearly outperformed some existing fog detection methods.</p>
</abstract>

This paper presents a fog detection algorithm, highlighting the significance of continued exploration in fog identification through image processing techniques. The advancement and application of this algorithm can significantly benefit various domains, including road safety, environmental monitoring, navigation, security, surveillance, and improving existing systems’ performance. The evaluation performed on test images have shown an accuracy of 72%, a precision of 94%, a recall of 57% and an F1 score of 0.71. The proposed algorithm clearly outperformed some existing fog detection methods.

Fog Detection through Image Processing Methods

Computer Science and Electrical and Electronics Engineering Department, Faculty of Engineering

International Journal of Advanced Statistics and IT&C for Economics and Life Sciences

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

{"article-title":"Fog Detection through Image Processing Methods"}

This paper presents a fog detection algorithm, highlighting the significance of continued exploration in fog identification through image processing...

Fog Detection through Image Processing Methods

Pubblicato online: 19 dic 2023

Pagine: 28 - 37

DOI: https://doi.org/10.2478/ijasitels-2023-0004

Parole chiave
image processing, computer vision, fog detection, fog density, visibility

© 2023 Teodor-Adrian Radescu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Fog Detection through Image Processing Methods

Pubblicato online: 19 dic 2023

Pagine: 28 - 37

DOI: https://doi.org/10.2478/ijasitels-2023-0004

Parole chiaveimage processing, computer vision, fog detection, fog density, visibility

© 2023 Teodor-Adrian Radescu et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Parole chiave
image processing, computer vision, fog detection, fog density, visibility