Aluminum Plate Defect Image Segmentation Using Improved Generative Adversarial Networks for Eddy Current Detection

Qi Zhang; Bo Ye; Siqi Luo; Honggui Cao

doi:10.3788/LOP202158.0815002

Laser & Optoelectronics Progress, Volume. 58, Issue 8, 0815002(2021)

Aluminum Plate Defect Image Segmentation Using Improved Generative Adversarial Networks for Eddy Current Detection

Qi Zhang^1,2, Bo Ye^1,2、*, Siqi Luo^1,2, and Honggui Cao^1,2

¹Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, Yunnan 650500, China

²Yunnan Key Laboratory of Artificial Intelligence, Kunming University of Science and Technology, Kunming, Yunnan 650500, China

show less

Abstract Get PDF(in Chinese)

Cited By

Article index updated: Sep. 9, 2025

The article is cited by 2 article(s) CLP online library. (Some content might be in Chinese.)

Tools

Get Citation

Copy Citation Text

Qi Zhang, Bo Ye, Siqi Luo, Honggui Cao. Aluminum Plate Defect Image Segmentation Using Improved Generative Adversarial Networks for Eddy Current Detection[J]. Laser & Optoelectronics Progress, 2021, 58(8): 0815002

Download Citation

EndNote(RIS)BibTex Plain Text

Set citation alerts for article

Save article for my favorites

Paper Information

Category: Machine Vision

Received: Aug. 18, 2020

Accepted: Sep. 9, 2020

Published Online: Apr. 16, 2021

The Author Email: Bo Ye (yeripple@hotmail.com)

DOI:10.3788/LOP202158.0815002

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology