Contour Detection for Industrial Image Processing by Means of Level Set Methods

Authors:
J. Marot;Y. Caulier;A. Kuleschov;K. Spinnler;S. Bourennane
Affiliations:
Fraunhofer Institut IIS, Erlangen, Germany 91058;Fraunhofer Institut IIS, Erlangen, Germany 91058;Fraunhofer Institut IIS, Erlangen, Germany 91058;Fraunhofer Institut IIS, Erlangen, Germany 91058;Univ. Paul Cézanne, Ecole Centrale Marseille, Institut Fresnel (CNRS UMR 6133), Marseille cedex 20, France F-13013
Venue:
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Year:
2008

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Abstract

We consider the problem of the automatic inspection of industrial metal pieces. The purpose of the work presented in this paper is to derive a method for defect detection. For the first time in this context we adapt level set method to distinguish hollow regions in the metal pieces from the grinded surface. We compare this method with Canny edge enhancement and with a thresholding method based on histogram computation. The experiments performed on two industrial images show that the proposed method retrieves correctly fuzzy contours and is robust against noise.