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2000
Volume 18, Issue 7
  • ISSN: 2352-0965
  • E-ISSN: 2352-0973

Abstract

Background

The current method has low detection accuracy for electric vehicle charging ports in complex environments.

Objective

This paper proposes a method for electric vehicle charging port recognition based on wavelet enhancement and an improved canny algorithm.

Methods

Firstly, a preprocessing assessment model is proposed to determine whether preprocessing enhancement should be applied. Subsequently, we perform a stretch transformation on the S channel in the HSI color space and apply a discrete wavelet transform to the I channel to restore the brightness and detail features of the target objects in the image. Specifically, in this paper, adaptive median filtering and multi-scale Retinex algorithm are utilized on different frequency components respectively. Finally, the features and parameters of the charging port are detected and extracted through the maximum inter-class variance method, morphological processing, the improved Canny algorithm, and Hough transform fitting.

Results

This paper conducts comparative experiments on preprocessing enhancement of charging port images in different environments and features detection of charging ports. The hole feature parameters detected by this method are consistent with the actual situation.

Conclusion

The experiment proves that the method proposed in this paper can meet the requirements of precise identification of charging ports in complex environments.

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2024-03-28
2025-09-26

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A Method for Electric Vehicle Charging Port Recognition in Complex Environments based on Wavelet Enhancement and Improved Canny Algorithm
Recent Advances in Electrical & Electronic Engineering 18, 959 (2025); https://doi.org/10.2174/0123520965287975240319085547
/content/journals/raeeng/10.2174/0123520965287975240319085547
/content/journals/raeeng/10.2174/0123520965287975240319085547
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  • Article Type:     Research Article
Keyword(s): canny; charging port recognition; discrete wavelet transform; Electric vehicle; HSI; image enhancement

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