Open Access

An Image Content Description Technique for the Inspection of Specular Objects

EURASIP Journal on Advances in Signal Processing20082008:195263

Received: 8 May 2008

Accepted: 31 July 2008

Published: 4 November 2008


This paper proposed an image content description method within the context of specular surface inspection. Such a method is based on a preliminary research concerning the generation of specific stripe patterns for the visual enhancement of defective surface parts of cylindrical specular objects. The goal of this paper is to address the stripe pattern interpretation within a general approach. For this purpose, different pattern recognition processes, consisting not only of the combination of different image segmentation, feature retrieval, and classification, but also of feature combination and selection, will be considered. Three top-down and one bottom-up approaches are evaluated for retrieving the most appropriate feature sets in terms of highest classification rates. It will be demonstrated that following a combination and appropriate selection of these feature sets, even better rates can be reached. With only half of the initial features, an increase of more than 2% is observable.

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Authors’ Affiliations

Image Processing and Medical Engineering Department, Fraunhofer Institute
Multidimensional Signal Group, Fresnel Institute, Ecole Centrale Marseille


© Y. Caulier and S. Bourennane. 2008

This article is published under license to BioMed Central Ltd. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.