Paper
23 August 2024 Research on steel profiles surface defect detection algorithm based on machine vision
Shiyi Li, Zemin Fu, Zhifan Zhao
Author Affiliations +
Proceedings Volume 13250, Fourth International Conference on Image Processing and Intelligent Control (IPIC 2024); 132502K (2024) https://doi.org/10.1117/12.3038566
Event: 4th International Conference on Image Processing and Intelligent Control (IPIC 2024), 2024, Kuala Lumpur, Malaysia
Abstract
Steel profiles is widely used in many different fields and is a fundamental raw material in the industrial production process. However, surface defects often occur during the steel production process due to differences in testing environments and production raw materials. Therefore, it is crucial to detect surface defects in steel profiles. However, with the progress of society, science and technology, traditional machine vision inspection methods are increasingly difficult to meet the requirements of modern industrial production in terms of accuracy and real-time performance in the actual inspection process. In this context, this thesis provides an in-depth analysis of deep learning-based defect detection algorithms and improves the state-of-the-art YOLOv5 object detection algorithm according to the characteristics of steel profiles surface defects in order to improve the detection speed and accuracy. First, the steel dataset is regrouped using the K-means algorithm based on IOU measured distances to generate different sets of anchor frames. Second, MixUp was integrated into the Mosaic data extension to reduce overfitting and improve model generalization. Then, the network structure was improved and an attention module was added to further improve the ability to extract network features.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Shiyi Li, Zemin Fu, and Zhifan Zhao "Research on steel profiles surface defect detection algorithm based on machine vision", Proc. SPIE 13250, Fourth International Conference on Image Processing and Intelligent Control (IPIC 2024), 132502K (23 August 2024); https://doi.org/10.1117/12.3038566
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Object detection

Detection and tracking algorithms

Target detection

Defect detection

Image processing

Machine vision

Feature extraction

Back to Top