Liang Dan
Papers
1
Total Citations
4
H-Index
1
About
Dr. Liang Dan is a leading researcher in intelligent inspection systems and robotic vision, with a focus on advancing defect detection technologies for industrial pipelines. Her most notable contribution is the development of a pipeline robot defect inspection method based on adaptive image enhancement, which addresses critical challenges in uneven image acquisition and inaccurate edge extraction during pipeline monitoring. By designing a single-scale Retinex adaptive image enhancement algorithm, Dr. Dan significantly improves the clarity and reliability of defect identification in complex environments. Her work, published in 2020, has garnered 4 citations, reflecting its emerging impact on automated inspection and maintenance systems. Dr. Dan’s research bridges computer vision and robotics, offering practical solutions for infrastructure safety and efficiency. Her innovative approach to adaptive image processing not only enhances robotic perception but also sets a foundation for future advancements in non-destructive testing and industrial automation.
Research Focus
Key Achievements
Top Papers
- 1