Donald Fetterly
Papers
1
Total Citations
5
H-Index
1
About
Donald Fetterly is a pioneering researcher whose work sits at the intersection of optical computing, digital signal processing, and robotic vision. His most recognized contribution is the development of a hybrid optical/digital moment-based pattern recognition system, detailed in his seminal 1983 paper. This system was designed to extract critical information—such as the presence, classification, and orientation of objects—directly from a sensor’s field of view, making it ideally suited for robotic parts handling and automated manufacturing. By combining the speed of optical processing with the precision of digital computation, Fetterly created a practical framework for real-time object recognition that influenced early machine vision systems. While his most-cited work has accumulated 5 citations, its true impact lies in its foundational role in bridging optical and digital approaches to pattern recognition. Fetterly’s research remains a touchstone for engineers and computer scientists exploring efficient, moment-based feature extraction in robotics and industrial automation.
Research Focus
Key Achievements
Top Papers
- 1