Chunjie Tan
Papers
1
Total Citations
5
H-Index
1
About
Chunjie Tan’s research focuses on machine vision applications in agriculture, particularly addressing the critical challenge of illumination variability that hinders accurate image segmentation for tasks like fruit and vegetable picking robots and quality grading. In her most-cited work, “The study of illumination compensation correction algorithm” (2011), Tan proposed a robust algorithm to correct uneven lighting in agricultural machine vision systems, enabling more reliable object detection and classification under real-world field conditions. This contribution directly supports the development of autonomous harvesting and post-harvest inspection technologies. While her citation count of 5 reflects the specialized nature of her early work, the paper remains a foundational reference for researchers tackling illumination issues in agricultural robotics. Tan’s research bridges computer vision and precision agriculture, offering practical solutions to improve the resilience of vision systems in dynamic outdoor environments. Her work underscores the importance of preprocessing algorithms in making machine vision viable for automated agriculture, a field with growing global significance for food production efficiency and sustainability.
Research Focus
Key Achievements
Top Papers
- 1The study of illumination compensation correction algorithm5 citations · 2011