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CT image sequence analysis for object recognition-a rule based 3-D computer vision system

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4 Author(s)
Dongping Zhu ; Spatial Data Anal. Lab., Virginia Polytech. Inst. & State Univ., Blacksburg, VA, USA ; Conners, R.W. ; Schmoldt, D.L. ; Araman, P.A.

The authors present a rule-based, three-dimensional (3-D) vision system for locating and identifying wood defects using topological, geometric and statistical attributes. A number of different features can be derived from the 3-D input scenes. These features and evidence functions are used to compute confidence values for object membership in different defect classes. The use of different knowledge sources in a set of independent and concise rules is illustrated

Published in:

Systems, Man, and Cybernetics, 1991. 'Decision Aiding for Complex Systems, Conference Proceedings., 1991 IEEE International Conference on

Date of Conference:

13-16 Oct 1991