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

Journals >Laser & Optoelectronics Progress >Volume 58 >Issue 8 >Page 0815002 > Article

Laser & Optoelectronics Progress
Vol. 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

Author Affiliations

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

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DOI: 10.3788/LOP202158.0815002 Cite this Article Set citation alerts

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 Copy Citation Text

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