Accurate matching of two-dimensional shapes using the minimal tolerance zone error

Research output: Contribution to journalArticle

11 Scopus citations

Abstract

Automated visual geometric inspection of machined parts depends upon the ability to determine the underlying parameters of a shape model that will best fit the reference shape to the real shape captured. This paper presents a parametric approach for the matching of two-dimensional profiles, which are composed of straight-line segments and circular arcs, based on the tolerancing requirements defined by the AINSI standards. The shape matching problem is formulated as a minimax optimization model and a procedure for solving this optimization model is developed. Experimental results have shown the proposed algorithm to be consistently accurate and extremely fast.

Original languageEnglish (US)
Pages (from-to)889-899
Number of pages11
JournalImage and Vision Computing
Volume15
Issue number12
StatePublished - Jan 1 1997

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Vision and Pattern Recognition

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