DocumentCode :
3245961
Title :
A fuzzy algorithm for pixel classification based on the discrepancy norm
Author :
Bauer, Peter ; Bodenhofer, Ulrich ; Klement, Erich Peter
Author_Institution :
Dept. of Math., Johannes Kepler Univ., Linz, Austria
Volume :
3
fYear :
1996
fDate :
11-11 Sept. 1996
Firstpage :
2007
Abstract :
A fuzzy method for a particular kind of pixel classification is proposed. It is one of the most important results in the development of an inspection system for a silk-screen printing process. The classification algorithm is applied to a reference image in the initial step of the printing process in order to obtain the regions which are to be checked by applying different criteria. Tight limitations in terms of computation speed have necessitated very specific, efficient methods which operate locally. These methods are motivated and discussed in detail.
Keywords :
printing; automatic optical inspection; discrepancy norm; fuzzy algorithm; fuzzy set theory; fuzzy system; inspection system; pixel classification; reference image; silk-screen printing process; Area measurement; Chaos; Classification algorithms; Filters; Fuzzy logic; Inspection; Pixel; Printing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on
Conference_Location :
New Orleans, LA, USA
Print_ISBN :
0-7803-3645-3
Type :
conf
DOI :
10.1109/FUZZY.1996.552744
Filename :
552744
Link To Document :
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