Application of Dark Channel Prior Principle to Licensed Plate Detection in Foggy Weather

In foggy conditions, due to the turbid medium in the atmosphere, the light absorption and scattering are seriously affected, which makes the light intensity of the optical sensor change, which directly leads to the decrease of the clarity and contrast of the license plate image, thus reducing the co...

Full description

Saved in:
Bibliographic Details
Published in2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC) pp. 2591 - 2595
Main Authors Zhu, Weiwei, Yang, Li, Zang, Xinxin
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2018
Subjects
Atmospheric modeling
dark channel prior
defogging
Image color analysis
Image restoration
license plate detection
License plate recognition
Mathematical model
Meteorology
Scattering
transmission
Online AccessGet full text
DOI10.1109/IAEAC.2018.8577593

Cover

More Information
Summary:In foggy conditions, due to the turbid medium in the atmosphere, the light absorption and scattering are seriously affected, which makes the light intensity of the optical sensor change, which directly leads to the decrease of the clarity and contrast of the license plate image, thus reducing the correct rate of the subsequent license plate recognition. Aiming at this phenomenon, an algorithm based on dark channel to improve the image transmittance was proposed. The improved method was used to defogging the image, which made up for the disadvantage that the dark channel method couldn't defog well for large bright areas such as white. Experiments show that the original color characteristics of the vehicle information can be well restored after the image is defogged by the improved method, which facilitates the processing of the vehicle information in the later period.
DOI:10.1109/IAEAC.2018.8577593