Yingheng Wang
Papers
1
Total Citations
5
H-Index
1
About
Yingheng Wang is a researcher specializing in computer vision, image processing, and intelligent pipeline inspection systems. Their most notable contribution is the development of a pipeline image haze removal system using a dark channel prior on a cloud processing platform, published in 2020. This work addresses the critical challenge of poor image quality in underground drainage pipeline environments, where darkness, water fog, and haze severely degrade detection performance. By applying the dark channel prior algorithm on a cloud platform, Wang's system significantly enhances image clarity, enabling more reliable fault detection by pipeline robots. This innovation directly improves the security and efficiency of underground infrastructure maintenance. With 5 citations, this foundational paper has informed subsequent research in pipeline inspection and image dehazing. Wang's work bridges computer vision techniques with practical engineering applications, demonstrating how advanced image processing can solve real-world problems in hazardous and visually challenging environments. Their research continues to influence the development of smarter, more robust inspection systems for critical underground infrastructure.
Research Focus
Key Achievements
Top Papers
- 1