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.
Authors
- Olesya M. Sedykh
Institutions
- Lipetsk State Technical University (RU)
Publication Details
- Published
- 2024-11-13
- DOI
- https://doi.org/10.1109/summa64428.2024.10803752
- Primary Topic
- Infrared Target Detection Methodologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00