Mengxue Xu
Papers
1
Total Citations
5
H-Index
1
About
Mengxue Xu is a researcher specializing in image processing and computer vision, with a particular focus on distortion correction techniques for wide-angle imaging systems. Her most-cited work, "Comparison and Research of Fisheye Image Correction Algorithms in Coal Mine Survey" (2019, 5 citations), addresses the critical challenge of correcting severe geometric distortions inherent in fisheye lens imagery—a technology essential for applications in scene surveillance, robot navigation, and engineering measurement. Xu's research systematically evaluates and compares various correction algorithms, providing practical insights for deploying fisheye cameras in challenging environments such as underground coal mines, where accurate spatial perception is vital for safety and operational efficiency. Her contributions bridge the gap between theoretical image processing methods and real-world industrial applications, offering a foundation for improved visual data interpretation in confined or hazardous settings. While her citation count is modest, Xu's work demonstrates a targeted impact on niche technical domains, highlighting the importance of robust image correction in specialized fields like mining engineering. Her research continues to inform the development of more reliable vision systems for extreme environments.
Research Focus
Key Achievements
Top Papers
- 1