Abstract

The calculation of the number of vehicles on the road using digital image processing technology is expected to be faster and more accurate. Nevertheless, there are obstacles such as noise that arises due to rain because it can reduce the accuracy of the calculation of the number of vehicles. Therefore, we need a rain noise reduction process to improve the accuracy of vehicle calculations. The guided filter has the advantage of reducing noise, including snow noise and fog noise. The experiment was conducted by comparing the accuracy of the calculation of the number of vehicles in noise conditions after and before they were reduced with heavy rain, moderate rain, and drizzle data. The results show that accuracy is increasing for heavy and moderate rainfall data, while the drizzle data has decreased. Therefore, the guided filter is suitable for heavy and moderate rain conditions.

Original languageEnglish
Pages (from-to)1353-1370
Number of pages18
JournalInternational Journal of Innovative Computing, Information and Control
Volume16
Issue number4
DOIs
Publication statusPublished - Aug 2020

Keywords

  • Guided filter
  • Noise reduction
  • Rainfall
  • Vehicle counting

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