A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust regression and outlier detection
Robust regression and outlier detection
Numerical recipes in C: the art of scientific computing
Numerical recipes in C: the art of scientific computing
A System for PCB Automated Inspection Using Fluorescent Light
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automated X-Ray Inspection of Aluminum Castings
IEEE Transactions on Pattern Analysis and Machine Intelligence
A design data-based visual inspection system for printed wiring
Advances in Machine Vision
A Method for Registration of 3-D Shapes
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Object modelling by registration of multiple range images
Image and Vision Computing - Special issue: range image understanding
Segmentation of X-ray and C-scan images of fiber reinforced composite materials
Pattern Recognition
Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
A survey of automated visual inspection
Computer Vision and Image Understanding
Computational Geometry for Design and Manufacture
Computational Geometry for Design and Manufacture
Receiver operating characteristic curves and optimal Bayesian operating points
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol. 3)-Volume 3 - Volume 3
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Manufacturing flaws of all types, shapes, and sizes can be exhaustively detected as abnormal pixels, if process and noise variations can be learned at every pixel in the inspection area. This statistical template approach to automated visual inspection is extremely fast, effective, and flexible, while achieving false negative rate 驴 10-6. Critical to this approach are the following novel features: 1) represent both geometry and process informations in a model template; 2) align 3D surfaces with subpixel accuracy; 3) compensate for local deformation and texture; 4) estimate bimodal distribution robustly. This novel paradigm was applied to the automatic screening of X-ray images of turbine blades. It has been validated with over 50,000 images and shown to out perform regular inspectors looking at high-pass filtered images.