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 language||English (US)|
|Number of pages||11|
|Journal||Image and Vision Computing|
|State||Published - Jan 1 1997|
All Science Journal Classification (ASJC) codes
- Signal Processing
- Computer Vision and Pattern Recognition