Expert vision sytems: some issues
Computer Vision, Graphics, and Image Processing
Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Machine vision for the inspection of natural products
Hardware Neural Network for a Visual Inspection System
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Optimal illuminator design for automatic optical inspection systems
International Journal of Computer Applications in Technology
Design and development of automatic visual inspection system for PCB manufacturing
Robotics and Computer-Integrated Manufacturing
Automated extraction of PCB components based on specularity using layered illumination
Journal of Intelligent Manufacturing
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The task of automating the visual inspection of pin-in-hole solder joints is addressed. Two approaches are explored: statistical pattern recognition and expert systems. An objective dimensionality-reduction method is used to enhance the performance of traditional statistical pattern recognition approaches by decorrelating feature data, generating feature weights, and reducing run-time computations. The expert system uses features in a manner more analogous to the visual clues that a human inspector would rely on for classification. Rules using these cues are developed, and a voting scheme is implemented to accumulate classification evidence incrementally. Both methods compared favorably with human inspector performance.