Zhuocheng Hou

Papers

Total Citations

H-Index

About

Zhuocheng Hou is a researcher whose work centers on computer vision and automation, with a particular focus on enhancing the accuracy of robotic inspection systems. His key contributions lie in developing methods to correct image distortions in industrial settings, most notably through his work on pointer instrument reading. His most-cited paper, "Tilt correction method of pointer instrument" (2021, 8 citations), addresses a critical challenge in substation robotics: the reading errors caused by camera-captured dial tilt. By proposing a feature registration-based correction method that extracts contour features from instrument images, Hou has provided a practical solution for improving the reliability of automated visual inspections. This work demonstrates his ability to bridge theoretical image processing techniques with real-world industrial applications. While his citation count is still growing, Hou's research is particularly valuable for students and engineers working on robotic automation and machine vision in power systems, offering a clear example of how fundamental image correction algorithms can solve practical operational problems in critical infrastructure monitoring.