Perceptual feature-based object recognition for automatic inspection

Gary P Brown; Peter Forte; Ron Malyan; Peter Barnwell

doi:10.1117/12.150307

6 August 1993 Perceptual feature-based object recognition for automatic inspection

Gary P Brown, Peter Forte, Ron Malyan, Peter Barnwell

Proceedings Volume 2064, Machine Vision Applications, Architectures, and Systems Integration II; (1993) https://doi.org/10.1117/12.150307
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States

Abstract

This paper describes the development of a practical object recognition framework for industrial inspection applications. The framework is being used to develop a prototype automatic inspection system for Surface Mounted Electronic Assemblies. The recognition technique uses the object oriented paradigm to both process and model the image information. Three inter-linked information structures, that allow both image and object modelling information to be represented at multiple resolutions, are described in this paper. The first structure is a hierarchical feature based description constructed from the recursive grouping of perceptual features. The second structure provides a containment tree to describe the connections between sub-component parts of a complex object. The final structure is the inheritance tree that provides the capability to model multiple variations of the same object type. The inspection module begins by processing image information from a newly developed non-linear shape abstraction technique. The information is delivered in the form of a multi- resolution scale space description of the captured image.

Citation Download Citation

Gary P Brown, Peter Forte, Ron Malyan, and Peter Barnwell "Perceptual feature-based object recognition for automatic inspection", Proc. SPIE 2064, Machine Vision Applications, Architectures, and Systems Integration II, (6 August 1993); https://doi.org/10.1117/12.150307

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