Open Access

Visual Inspection of Machined Metallic High-Precision Surfaces

EURASIP Journal on Advances in Signal Processing20022002:650750

DOI: 10.1155/S1110865702203145

Received: 31 July 2001

Published: 24 July 2002

Abstract

This paper presents a surface inspection prototype of an automatic system for precision ground metallic surfaces, in this case bearing rolls. The surface reflectance properties are modeled and verified with optical experiments. The aim being to determine the optical arrangement for illumination and observation, where the contrast between errors and intact surface is maximized. A new adaptive threshold selection algorithm for segmentation is presented. Additionally, is included an evaluation of a large number of published sequential search algorithms for selection of the best subset of features for the classification with a comparison of their computational requirements. Finally, the results of classification for 540 flaw images are presented.

Keywords

visual inspection surface reflection flaw detection segmentation statistical classification feature selection

Authors’ Affiliations

(1)
Institute of Automation, University of Leoben

Copyright

© Pernkopf and O'Leary 2002