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Proceedings Paper

Nonlinear shape abstraction for automatic inspection
Author(s): Gary P Brown; Peter Forte; Ron Malyan; Peter Barnwell
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Paper Abstract

This paper describes the implementation of a non-linear 2D shape abstraction technique. The abstraction procedure systematically simplifies the shape's description using a group of predefined `rewrite rules.' This procedure operates on a new compact and efficient two dimensional shape representation. The abstraction technique generates a detailed scale space representation of the shape being abstracted. This paper provides a method for analyzing this representation to determine the significant shape descriptions. These significant descriptions are used to produce a reduced scale space description of the shape, for use by an object recognition module. The work described in this paper forms a module in a system being developed at Kingston University, to inspect surface mounted technology circuit boards for defects.

Paper Details

Date Published: 1 December 1993
PDF: 8 pages
Proc. SPIE 2060, Vision Geometry II, (1 December 1993); doi: 10.1117/12.164988
Show Author Affiliations
Gary P Brown, Mercury Communications Ltd. (United Kingdom)
Peter Forte, Kingston Univ. (United Kingdom)
Ron Malyan, Kingston Univ. (United Kingdom)
Peter Barnwell, Univ. of Plymouth (United Kingdom)


Published in SPIE Proceedings Vol. 2060:
Vision Geometry II
Robert A. Melter; Angela Y. Wu, Editor(s)

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