Pregled bibliografske jedinice broj: 372374
Self-Learning System For Surface Failure Detection
Self-Learning System For Surface Failure Detection // Proceedings of EURASIP 13th European Signal Processing Conference EUSIPCO 2005 / Sankur, Bulent (ur.).
Antalya: Bogazici University, 2005. (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 372374 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Self-Learning System For Surface Failure Detection
Autori
Rimac-Drlje, Snježana ; Keller, Alen ; Nyarko, Emmanuel Karlo
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of EURASIP 13th European Signal Processing Conference EUSIPCO 2005
/ Sankur, Bulent - Antalya : Bogazici University, 2005
ISBN
975-00188-0-X
Skup
13th European Signal Processing Conference EUSIPCO 2005
Mjesto i datum
Antalya, Turska, 04.09.2005. - 08.09.2005
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Surface failure detection; neural networks; wavelets; self-learning system
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
