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Discrete wavelet and neural network based image processing for quality control (CROSBI ID 509480)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

Rimac-Drlje, Snježana ; Keller, Alen ; Zapletal, Stjepan Discrete wavelet and neural network based image processing for quality control // Proceedings of XXII. Internationale Konferentz “ ; ; Science in Practice” ; ; / Mohringer, Peter (ur.). Schweinfurt: Fachhochschule Wurzburg-Schweinfurt, University of Applied Science, 2005. str. 101-107-x

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

Povezanost rada

Elektrotehnika, Računarstvo