Paper
1 December 1993 Nonlinear shape abstraction for automatic inspection
Gary P Brown, Peter Forte, Ron Malyan, Peter Barnwell
Author Affiliations +
Proceedings Volume 2060, Vision Geometry II; (1993) https://doi.org/10.1117/12.164988
Event: Optical Tools for Manufacturing and Advanced Automation, 1993, Boston, MA, United States
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.
© (1993) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gary P Brown, Peter Forte, Ron Malyan, and Peter Barnwell "Nonlinear shape abstraction for automatic inspection", Proc. SPIE 2060, Vision Geometry II, (1 December 1993); https://doi.org/10.1117/12.164988
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KEYWORDS
Detection and tracking algorithms

Inspection

Object recognition

Vision geometry

Shape analysis

Sensors

CCD cameras

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