Can I read Industrial surface defect detection and localization using multi-scale information focusing and enhancement GANomaly on EtoBox?

Industrial surface defect detection and localization using multi-scale information focusing and enhancement GANomaly by Jiangji Peng; Haidong Shao; Yiming Xiao; Baoping Cai; Bin Liu is a Computer Science article available to read on EtoBox.

What is Industrial surface defect detection and localization using multi-scale information focusing and enhancement GANomaly about?

Recently, deep learning-based methods have been widely applied in identifying and detecting surface defects in industrial products. However, in real industrial scenarios, there are challenges such as limited defect samples, weak defect features, diverse defect types, irregular background textures, and difficulties in locating defect regions. To address these issues, this paper proposes a new industrial surface defect detection and localization method called multi-scale information focusing and enhancement GANomaly (MIFE-GANomaly). Firstly, skipconnection is incorporated between the encoder and decoder to effectively capture the multi-scale feature information of normal sample images to enhance representation ability. Secondly, self-attention is introduced in both the encoder and decoder to further focus on the representative information contained in the multi-scale features. Finally, an improved generator loss function based on structural similarity is designed to address the visual inconsistencies, thereby improving the robustness of detecting irregular textures. Experimental results demonstrate that the proposed method achieves superior robustness and accuracy in anomaly detectio

Who reads Industrial surface defect detection and localization using multi-scale information focusing and enhancement GANomaly?

Author

Jiangji Peng; Haidong Shao; Yiming Xiao; Baoping Cai; Bin Liu

Publisher

Elsevier BV

Published

2024

Language

EN

Field

Computer Science (Physical Sciences)