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Contour detection for industrial image processing by means of level set methods

: Marot, J.; Caulier, Y.; Kuleschov, A.; Spinnler, K.; Bourennane, S.


Blanc-Talon, J.:
Advanced concepts for intelligent vision systems. 10th international conference, ACIVS 2008 : Juan-les-Pins, France, October 20-24, 2008; Proceedings
Berlin: Springer, 2008 (Lecture Notes in Computer Science 5259)
ISBN: 3-540-88457-2
ISBN: 978-3-540-88457-6
ISSN: 0302-9743
International Conference on Advanced Concepts for Intelligent Vision Systems (ACIVS) <10, 2008, Juan-les-Pins>
Fraunhofer IIS ()

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 OF 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.