Discrete wavelet and neural network based image processing for quality control (CROSBI ID 509480)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Rimac-Drlje, Snježana ; Keller, Alen ; Zapletal, Stjepan
engleski
Discrete wavelet and neural network based image processing for quality control
In this article we present a self-learning system for automatic detection of surface failures on ceramic tiles. This system is based on the probabilistic neural network with radial basis. The discrete wavelet transform (DWT) is used as a preprocessing method with good feature extraction possibilities. With an automatic procedure for the production of input vectors for the neural networks training the presented system can adapt itself to different textures. Experimental results of the defect detection for different types of tiles show a high accuracy and applicability of the proposed procedure.
Surface failure detection; neural networks; wavelets; self-learning system
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Podaci o prilogu
101-107-x.
2005.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of XXII. Internationale Konferentz “ ; ; Science in Practice” ; ;
Mohringer, Peter
Schweinfurt: Fachhochschule Wurzburg-Schweinfurt, University of Applied Science
Podaci o skupu
XXII. Internationale Konferenz "Science in Practice" Schweinfurt 2005
predavanje
18.05.2005-20.05.2005
Schweinfurt, Njemačka