Research on Unsupervised Low-Light Railway Fastener Image Enhancement Method Based on Contrastive Learning GAN
Yijie Cai,
Xuehai Liu,
Huoxing Li
et al.
Abstract:The railway fastener, as a crucial component of railway tracks, directly influences the safety and stability of a railway system. However, in practical operation, fasteners are often in low-light conditions, such as at nighttime or within tunnels, posing significant challenges to defect detection equipment and limiting its effectiveness in real-world scenarios. To address this issue, this study proposes an unsupervised low-light image enhancement algorithm, CES-GAN, which achieves the model’s generalization an… Show more
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