Share Email Print

Proceedings Paper

Shape description and analysis of range data for milled steel blocks
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

Range imaging based on fast light-sectioning techniques is used to acquire the three dimensional shape of a steel block with its embedded flaws. The aim of the paper is the computation of suitable features for describing the characteristics of sequentially acquired profiles. The features should discriminate well between flaws, the intact surface, and pseudo errors caused by inhomogeneous surface properties such as, e.g., a strongly changing reflection factor. The orthogonal distance from the planar curve to its spline approximation serves as a suitable descriptor. In addition, the multi-scale curvature is useful since the defects are characterized as local perturbations of a relatively smooth curve. Since the embedded flaws on the surface of the steel block are existent in neighboring profiles, a measure for evaluating the local perturbations with respect to subsequent profiles is presented. Therefore, a kernel is used for weighting the neighborhood of a defect. The shape of the kernel might be Gaussian, however, a special kernel was developed for emphasizing a preference direction of the flaws.

Paper Details

Date Published: 22 May 2003
PDF: 8 pages
Proc. SPIE 5011, Machine Vision Applications in Industrial Inspection XI, (22 May 2003); doi: 10.1117/12.474029
Show Author Affiliations
Franz Pernkopf, Graz Univ. of Technology (Austria)
Paul O'Leary, Univ. of Leoben (Austria)

Published in SPIE Proceedings Vol. 5011:
Machine Vision Applications in Industrial Inspection XI
Martin A. Hunt; Jeffery R. Price, Editor(s)

© SPIE. Terms of Use
Back to Top