Research on Vehicle Model Recognition Algorithm Based on Morphological Image Processing

In view of the demand for automatic statistics of traffic flow in intelligent transportation,a vehicle model recognition system based on morphological image processing algorithm is designed in this paper, which collects images by camera, binarizes filtering processing, extracts vehicle contour by Sobel operator, calculates vehicle width to length ratio, and forms a learning sample of vehicle model features through morphological processing, and learns by BP neural network training. After testing, it can realize the recognition of large, medium and small vehicle models, and the whole system shows good stability and recognition effect.

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Publication Details

Published
2024-11-04
DOI
https://doi.org/10.1109/csrswtc64338.2024.10811564
Citations
1
Primary Topic
Advanced Algorithms and Applications
Type
article
Field-Weighted Citation Impact
0.33
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article

Research on Vehicle Model Recognition Algorithm Based on Morphological Image Processing

Xiaobo Shen, Yaling Zheng, Wang Li, Liuliu Wang
1 citations
Advanced Algorithms and Applications
0.33
article

Research on Vehicle Model Recognition Algorithm Based on Morphological Image Processing

Xiaobo Shen, Yaling Zheng, Wang Li, Liuliu Wang
article en
1 citations

Abstract

In view of the demand for automatic statistics of traffic flow in intelligent transportation,a vehicle model recognition system based on morphological image processing algorithm is designed in this paper, which collects images by camera, binarizes filtering processing, extracts vehicle contour by Sobel operator, calculates vehicle width to length ratio, and forms a learning sample of vehicle model features through morphological processing, and learns by BP neural network training. After testing, it can realize the recognition of large, medium and small vehicle models, and the whole system shows good stability and recognition effect.

Beijing Satellite Navigation Center (CN), Huainan Normal University (CN)
Openalex Percentile: Top 37%
Advanced Algorithms and Applications
0.33
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