Recognition Of Partially Occluded Workpieces By A Knowledge-Based System

S. B. Serpico; G. Vernazza; S. Dellepiane; P. Angela

doi:10.1117/12.968292

1 January 1987 Recognition Of Partially Occluded Workpieces By A Knowledge-Based System

S. B. Serpico, G. Vernazza, S. Dellepiane, P. Angela

Proceedings Volume 0858, Signal Acquisition and Processing; (1987) https://doi.org/10.1117/12.968292
Event: IECON, Cambridge, 1987, Cambridge, MA, United States

Abstract

A knowledge-based system is presented that is oriented toward partially occluded 2-D workpiece recognition in TV camera images. The generalized Hough transform is employed to extract elementary edge patterns. Intrinsic and relational information regarding elementary patterns is computed and then stored inside a net of frames. A similar net of frames is employed for workpiece model representation, for an easy matching with the previous net. A set of production rules provide the heuristics to find hints for locating focus-of-attention regions, while other production rules specify modalities for applying a hypothesis-generation-and-test process. Experimental results on a set of 20 workpieces are reported.

Citation Download Citation

S. B. Serpico, G. Vernazza, S. Dellepiane, and P. Angela "Recognition Of Partially Occluded Workpieces By A Knowledge-Based System", Proc. SPIE 0858, Signal Acquisition and Processing, (1 January 1987); https://doi.org/10.1117/12.968292

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