Comparison of the Object Detection Quality in Vehicle Images Using Different Preprocessing Methods

This article evaluates the quality of object detection in vehicle images using various preprocessing methods with the purpose to identify the most effective methods in case images with defects. The validation sample consists of photographs of vehicles captured by street cameras in Lipetsk.

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Published
2024-11-13
DOI
https://doi.org/10.1109/summa64428.2024.10803700
Primary Topic
Industrial Vision Systems and Defect Detection
Type
article
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article

Comparison of the Object Detection Quality in Vehicle Images Using Different Preprocessing Methods

Olesya M. Sedykh
Industrial Vision Systems and Defect Detection
article

Comparison of the Object Detection Quality in Vehicle Images Using Different Preprocessing Methods

Olesya M. Sedykh
article en

Abstract

This article evaluates the quality of object detection in vehicle images using various preprocessing methods with the purpose to identify the most effective methods in case images with defects. The validation sample consists of photographs of vehicles captured by street cameras in Lipetsk.

Lipetsk State Technical University (RU)
Openalex Percentile: Top 64%
Industrial Vision Systems and Defect Detection
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Comparison of the Object Detection Quality in Vehicle Images Using Different Preprocessing Methods — Olesya M. Sedykh · (2024) | TGRS Research Map | TGRS