Corrosion detection, localization, and severity estimation on gas pipeline surfaces using transfer learning and image processing

Key Points

• Corrosion detection techniques significantly improve monitoring of gas pipeline surfaces, enhancing safety.
• Transfer learning achieves 85% accuracy in identifying corrosion severity in image analyses.
• Assessment using image processing methods reveals accurate localization of corrosion features.
• Findings suggest a need for advanced monitoring systems in pipeline maintenance.