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| LEADER |
01363nam a2200181Ia 4500 |
| 001 |
10.3390-app12083835 |
| 008 |
220510s2022 CNT 000 0 und d |
| 020 |
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|a 20763417 (ISSN)
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| 245 |
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|a Detection of Logos of Moving Vehicles under Complex Lighting Conditions
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| 260 |
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|b MDPI
|c 2022
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| 856 |
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|z View Fulltext in Publisher
|u https://doi.org/10.3390/app12083835
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|a This study proposes a method for vehicle logo detection and recognition to detect missing and inaccurate vehicle marks under complex lighting conditions. For images acquired in complex light conditions, adaptive image enhancement is used to improve the accuracy of car sign detection by more than 2%; for the problems of multi-scale and detection speed of vehicle logo recognition in different images, the paper improves the target detection algorithm to improve the detection accuracy by more than 3%. The adaptive image enhancement algorithm and improved You Only Look One-level Feature (YOLOF) detection algorithm proposed in this study can effectively improve the correct identification rate under complex lighting conditions. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
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|a complex lighting conditions
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|a logo detection
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|a moving vehicles
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| 700 |
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|a Guo, W.
|e author
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| 700 |
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|a Zhao, Q.
|e author
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| 773 |
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|t Applied Sciences (Switzerland)
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