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Surface Defects Detection by a Visual Inspection System
ATACONFERENCE2001/12-01A4020

Authors

Giuseppe Mastronardi - Politecnico di Bari
Giovanni Murciano - Politecnico di Bari
Pietro Larizza - MASMEC srl
Maurizio Attanasi - CNR-ITIA

Abstract

In this paper the phases of a new methodology for a surface defects analysis by image processing are shown. In particular an applicative case concerning the surface defects detection of ball bearings is considered. We present very promising results on detecting surface abnormalities in the image textures structural properties of products under testing, by means of a technique based on the Wigner transform.

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