Analysis of the Impact of Wavelet Transform Parameters on Image Object Detection Quality on the Example of Vehicles

This article analyzes the impact of wavelet transform parameters on the accuracy of object detection in vehicle images with different defects. The parameters include the type of wavelet and the number of levels in the wavelet decomposition. The quality of object detection is evaluated using metrics to identify the most optimal wavelet transform parameters.

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Published
2024-11-13
DOI
https://doi.org/10.1109/summa64428.2024.10803752
Primary Topic
Infrared Target Detection Methodologies
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article
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article

Analysis of the Impact of Wavelet Transform Parameters on Image Object Detection Quality on the Example of Vehicles

Olesya M. Sedykh
Infrared Target Detection Methodologies
article

Analysis of the Impact of Wavelet Transform Parameters on Image Object Detection Quality on the Example of Vehicles

Olesya M. Sedykh
article en

Abstract

This article analyzes the impact of wavelet transform parameters on the accuracy of object detection in vehicle images with different defects. The parameters include the type of wavelet and the number of levels in the wavelet decomposition. The quality of object detection is evaluated using metrics to identify the most optimal wavelet transform parameters.

Lipetsk State Technical University (RU)
Openalex Percentile: Top 59%
Infrared Target Detection Methodologies
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Analysis of the Impact of Wavelet Transform Parameters on Image Object Detection Quality on the Example of Vehicles — Olesya M. Sedykh · (2024) | TGRS Research Map | TGRS