A fog level detection method based on image HSV color histogram

As a direction in the development of computer vision, fog visibility detection is very important for traffic safety. Aiming at the visibility detection problem appearing in the highspeed road traffic, this paper proposes a fog level detection method based on image HSV color histogram. First, convert...

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Vydáno v:2014 IEEE International Conference on Progress in Informatics and Computing s. 373 - 377
Hlavní autoři: Chunxue Liu, Xiaobo Lu, Saiping Ji, Wei Geng
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.05.2014
Témata:
Accuracy
color space conversion
Feature extraction
fog level detection
Histograms
HSV color histogram
Image color analysis
Image resolution
Meteorology
Roads
ISBN:9781479920334, 1479920339
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Abstract As a direction in the development of computer vision, fog visibility detection is very important for traffic safety. Aiming at the visibility detection problem appearing in the highspeed road traffic, this paper proposes a fog level detection method based on image HSV color histogram. First, convert the background image color space from RGB color space to HSV color space. And then achieve the fog level detection by classifying fog weathers of different visibility level into different types using the image HSV color histogram features (including H, S, and V) in various weather conditions. The experimental results show that this method can make qualitative judgments on foggy days quickly and the qualitative detection results are relatively good.
AbstractList As a direction in the development of computer vision, fog visibility detection is very important for traffic safety. Aiming at the visibility detection problem appearing in the highspeed road traffic, this paper proposes a fog level detection method based on image HSV color histogram. First, convert the background image color space from RGB color space to HSV color space. And then achieve the fog level detection by classifying fog weathers of different visibility level into different types using the image HSV color histogram features (including H, S, and V) in various weather conditions. The experimental results show that this method can make qualitative judgments on foggy days quickly and the qualitative detection results are relatively good.
Author Chunxue Liu
Wei Geng
Xiaobo Lu
Saiping Ji
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  surname: Chunxue Liu
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  surname: Xiaobo Lu
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  email: xblu2013@126.com
  organization: Sch. of Autom., Southeast Univ., Nanjing, China
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  surname: Saiping Ji
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  organization: Sch. of Autom., Southeast Univ., Nanjing, China
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  surname: Wei Geng
  fullname: Wei Geng
  organization: Sch. of Autom., Southeast Univ., Nanjing, China
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Snippet As a direction in the development of computer vision, fog visibility detection is very important for traffic safety. Aiming at the visibility detection problem...
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StartPage 373
SubjectTerms Accuracy
color space conversion
Feature extraction
fog level detection
Histograms
HSV color histogram
Image color analysis
Image resolution
Meteorology
Roads
Title A fog level detection method based on image HSV color histogram
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