Defect detection of steel pipe weld by modified attention U-Net

Lei Huang; Ting Zhang; Dong Lin; Shanwen Zhang; Huayong Cao; Zhen Wang

doi:10.1117/12.3034857

11 July 2024 Defect detection of steel pipe weld by modified attention U-Net

Lei Huang, Ting Zhang, Dong Lin, Shanwen Zhang, Huayong Cao, Zhen Wang

Proceedings Volume 13210, Third International Symposium on Computer Applications and Information Systems (ISCAIS 2024); 132102T (2024) https://doi.org/10.1117/12.3034857
Event: Third International Symposium on Computer Applications and Information Systems (ISCAIS 2023), 2024, Wuhan, China

Abstract

Automatic defect detection of steel pipe weld is of great significance in industry, national defense and scientific research field. To ensure the welding quality of steel pipe, it is necessary to efficiently and accurately defect the welding defect detection. A modified attention U-Net (MAU-Net) is presented for defect detection of steel pipe weld. In the model, an attention layer is introduced as a bridge between the encoder and decoder paths, a parallel pooling attention (PPA) module is used to connect the convolution features corresponding final downsampling layer and first upsampling layer. It is verified on the steel pipe weld defect image dataset that it is effective and feasible, and is superior not only to U-Net and its variants, but also to the latest automatic and semi-automatic segmentation/annotation models of other standards.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Lei Huang, Ting Zhang, Dong Lin, Shanwen Zhang, Huayong Cao, and Zhen Wang "Defect detection of steel pipe weld by modified attention U-Net", Proc. SPIE 13210, Third International Symposium on Computer Applications and Information Systems (ISCAIS 2024), 132102T (11 July 2024); https://doi.org/10.1117/12.3034857

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
8 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Defect detection

Pipes

Convolution

Feature extraction

Image fusion

Feature fusion

Surgery

Show All Keywords

Keywords/Phrases

Search In:

Publication Years