一个无监督的图像增强框架用于绝缘体的多重故障检测
Jiaxin Guo1, Gujing Han1, Min He1,2
1School of Electronics and Electrical Engineering, Wuhan Textile University, Wuhan 430200, China.
Sensors (Basel, Switzerland)
|November 27, 2025
概括
本研究介绍了用于输电线路检查的无监督图像增强方法. 该技术在复杂的照明条件下改善了亮度平衡和缺陷检测准确度.
科学领域:
- 计算机视觉 计算机视觉
- 图像处理 图像处理
- 电气工程 电气工程
背景情况:
- 传输线路检查需要高质量的图像.
- 复杂的照明条件会导致亮度不均,降低检测准确度.
- 现有的方法在不同的照明下难以进行无监督的增强.
研究的目的:
- 开发一种无监督的图像增强方法,用于输电线路检查.
- 在复杂的照明条件下提高检测精度.
- 为了解决检查图像中亮度分布不均的问题.
主要方法:
- 提出了一个无监督的方法,整合了灰度特征指导和亮度一致性损失.
- 设计了一台U形发电机,具有深度可分离的卷积,用于多级特征提取.
- 包含一个灰度特征引导模块和光度一致性损失,用于自适应增强和亮度平衡.
- 使用多级别的分辨器来增强全球和本地发光度的区别.
主要成果:
- 显著改善图像质量指标:峰值信号噪声比 (PSNR) 从7.73增加到18.41.
- 结构相似度指数 (SSIM) 从0.43提高到0.85.
- 改进的图像导致在输电线路检查中提高了缺陷检测准确度.
结论:
- 拟议的无监督方法有效地增强了复杂照明下的输电线路检查图像.
- 灰度指导和亮度一致性损失对于自适应增强和亮度平衡至关重要.
- 该方法提高了整体图像质量和随后的缺陷检测准确度.
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