Discrepancy norm as fitness function for defect detection on regularly textured surfaces

Autoren Gernot Stübl
Jean-Luc Bouchot
Peter Haslinger
Bernhard Moser
Editoren A. Prinz
Th. Pock
H. Bischof
F. Leberl
TitelDiscrepancy norm as fitness function for defect detection on regularly textured surfaces
BuchtitelPattern Recognition - Proc. DAGM and OAGM 2012
Typin Konferenzband
VerlagSpringer
SerieLecture Notes in Computer Science
Band7476
AbteilungKVS
ISBN978-3-642-32716-2
MonatAugust
Jahr2012
Seiten428-437
SCCH ID#1253
Abstract

This paper addresses the problem of quality inspection of regular textured surfaces as, e.g., encountered in industrial woven fabrics. The motivation for developing a novel approach is to utilize the template matching principle for defect detection in a way that does not need any particular statistical, structural or spectral features to be calculated during the checking phase. It is shown that in this context template matching becomes both feasible and effective by exploiting the so-called discrepancy measure as fitness function, leading to a defect detection method that shows advantages in terms of easy configuration and low maintenance efforts.