Visual inspection of machined parts

A CAD-model-based machine vision system for dimensional inspection of machine parts is described, with emphasis on the theory behind the system. The original contributions of this work are: (1) the use of precise definitions of geometric tolerances suitable for use in image processing, (2) the devel...

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Bibliographic Details
Published inProceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition pp. 393 - 398
Main Authors Modayur, B.R., Shapiro, L.G., Haralick, R.M.
Format Conference Proceeding
LanguageEnglish
Published IEEE Comput. Soc. Press 1992
Subjects
Computer science
Decision making
Error probability
Feature extraction
Image processing
Inspection
Machine vision
Measurement uncertainty
Solid modeling
Testing
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Summary:A CAD-model-based machine vision system for dimensional inspection of machine parts is described, with emphasis on the theory behind the system. The original contributions of this work are: (1) the use of precise definitions of geometric tolerances suitable for use in image processing, (2) the development of measurement algorithms corresponding directly to these definitions, (3) the derivation of the uncertainties in the measurement tasks, and (4) the use of this uncertainty information in the decision-making process. Initial experimental results have verified the uncertainty derivations statistically and proved that the error probabilities obtained by propagating uncertainties are lower than those obtainable without uncertainty propagation.< >
ISBN:9780818628559
0818628553
ISSN:1063-6919
DOI:10.1109/CVPR.1992.223159