DocumentCode :
3205925
Title :
Visual inspection of machined parts
Author :
Modayur, Bharath R. ; Shapiro, Linda G. ; Haralick, Robert M.
Author_Institution :
Washington Univ., Seattle, WA, USA
fYear :
1992
fDate :
15-18 Jun 1992
Firstpage :
393
Lastpage :
398
Abstract :
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
Keywords :
computer vision; image processing; CAD-model-based machine vision system; decision-making process; error probabilities; geometric tolerances; image processing; machined parts; measurement algorithms; uncertainties; visual inspection; Computer science; Decision making; Error probability; Feature extraction; Image processing; Inspection; Machine vision; Measurement uncertainty; Solid modeling; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 1992. Proceedings CVPR '92., 1992 IEEE Computer Society Conference on
Conference_Location :
Champaign, IL
ISSN :
1063-6919
Print_ISBN :
0-8186-2855-3
Type :
conf
DOI :
10.1109/CVPR.1992.223159
Filename :
223159
Link To Document :
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