Detection of Road Images Containing a Counterlight Using Multilevel Analysis
In this paper, a method for detecting real-time images that include counterlight produced by the sun, is proposed. It involves applying a multistep analysis of the size, location, and distribution of bright areas in the image. In general, images containing counterlight have a symmetrically high brig...
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2021
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oai:doaj.org-article:f4d47b98e95a417d91aee7c86fc5ac512021-11-25T19:07:37ZDetection of Road Images Containing a Counterlight Using Multilevel Analysis10.3390/sym131122102073-8994https://doaj.org/article/f4d47b98e95a417d91aee7c86fc5ac512021-11-01T00:00:00Zhttps://www.mdpi.com/2073-8994/13/11/2210https://doaj.org/toc/2073-8994In this paper, a method for detecting real-time images that include counterlight produced by the sun, is proposed. It involves applying a multistep analysis of the size, location, and distribution of bright areas in the image. In general, images containing counterlight have a symmetrically high brightness value at a specific location spread over an extremely large region. In addition, the distribution and change in brightness in that specific region have a symmetrically large difference compared with other regions. Through a multistep analysis of these symmetrical features, it is determined whether counterlight is included in the image. The proposed method presents a processing time of approximately 0.7 s and a detection accuracy of 88%, suggesting that the approach can be applied to a safe driving support system for autonomous vehicles.JongBae KimMDPI AGarticlecounterlight detectionmultilevel analysisITSsafe driving support systemsMathematicsQA1-939ENSymmetry, Vol 13, Iss 2210, p 2210 (2021) |
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counterlight detection multilevel analysis ITS safe driving support systems Mathematics QA1-939 |
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counterlight detection multilevel analysis ITS safe driving support systems Mathematics QA1-939 JongBae Kim Detection of Road Images Containing a Counterlight Using Multilevel Analysis |
description |
In this paper, a method for detecting real-time images that include counterlight produced by the sun, is proposed. It involves applying a multistep analysis of the size, location, and distribution of bright areas in the image. In general, images containing counterlight have a symmetrically high brightness value at a specific location spread over an extremely large region. In addition, the distribution and change in brightness in that specific region have a symmetrically large difference compared with other regions. Through a multistep analysis of these symmetrical features, it is determined whether counterlight is included in the image. The proposed method presents a processing time of approximately 0.7 s and a detection accuracy of 88%, suggesting that the approach can be applied to a safe driving support system for autonomous vehicles. |
format |
article |
author |
JongBae Kim |
author_facet |
JongBae Kim |
author_sort |
JongBae Kim |
title |
Detection of Road Images Containing a Counterlight Using Multilevel Analysis |
title_short |
Detection of Road Images Containing a Counterlight Using Multilevel Analysis |
title_full |
Detection of Road Images Containing a Counterlight Using Multilevel Analysis |
title_fullStr |
Detection of Road Images Containing a Counterlight Using Multilevel Analysis |
title_full_unstemmed |
Detection of Road Images Containing a Counterlight Using Multilevel Analysis |
title_sort |
detection of road images containing a counterlight using multilevel analysis |
publisher |
MDPI AG |
publishDate |
2021 |
url |
https://doaj.org/article/f4d47b98e95a417d91aee7c86fc5ac51 |
work_keys_str_mv |
AT jongbaekim detectionofroadimagescontainingacounterlightusingmultilevelanalysis |
_version_ |
1718410316417597440 |