Version 1
: Received: 8 October 2024 / Approved: 9 October 2024 / Online: 9 October 2024 (18:17:47 CEST)
How to cite:
Chi, D.; Wang, Z.; Liu, H. Automatic Defects Recognition of Lap Joint of Unequal Thickness Based on X-ray Image Processing. Preprints2024, 2024100659. https://doi.org/10.20944/preprints202410.0659.v1
Chi, D.; Wang, Z.; Liu, H. Automatic Defects Recognition of Lap Joint of Unequal Thickness Based on X-ray Image Processing. Preprints 2024, 2024100659. https://doi.org/10.20944/preprints202410.0659.v1
Chi, D.; Wang, Z.; Liu, H. Automatic Defects Recognition of Lap Joint of Unequal Thickness Based on X-ray Image Processing. Preprints2024, 2024100659. https://doi.org/10.20944/preprints202410.0659.v1
APA Style
Chi, D., Wang, Z., & Liu, H. (2024). Automatic Defects Recognition of Lap Joint of Unequal Thickness Based on X-ray Image Processing. Preprints. https://doi.org/10.20944/preprints202410.0659.v1
Chicago/Turabian Style
Chi, D., Ziming Wang and Huchun Liu. 2024 "Automatic Defects Recognition of Lap Joint of Unequal Thickness Based on X-ray Image Processing" Preprints. https://doi.org/10.20944/preprints202410.0659.v1
Abstract
It is difficult to automatically recognize defects using digital image processing method in X-ray radiograph that tested from lap joint of unequal thickness plates.The continuous change of the wall thickness for the lap joint workpiece brings about the very different gray levels in X-ray background image.Besides, due to the shape and fixturing of the workpiece, the distribution of the weld seamin the radiograph is not vertical and results in an existence of a certain angle with the vertical direction. This makes it difficult for automatic defect detection and localization. In this paper, a method of X-ray image correction based on invariant moments is presented to solve the problem. In addition, an automatic defect detection method combined of image noise suppression, background removal, image segmentation and mathematical morphology is introduced. The results show that the proposed method can effectively recognize the gas pores in lap joint of unequal thickness and it is suitable for automatic detection.
Keywords
lap joint; non-destructive testing; X-ray
Subject
Engineering, Metallurgy and Metallurgical Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
