Title :
Model based defect detection problem: Particle filter approach
Author :
Kubilay Basibuyuk;Kursat Coban;Aysin Ertuzun
Author_Institution :
ASELSAN Inc. Radar and Electronic Warfare and Intelligence Systems, Ankara, Turkey
fDate :
3/1/2008 12:00:00 AM
Abstract :
This paper addresses the raw textile defect detection problem. An efficient algorithm based on Bayesian estimation is presented for detection of defects encountered in textile images. Bayesian estimation is performed by particle filtering. Performance improvement in detection rate has been verified through extensive computer simulations.
Keywords :
"Particle filters","Inspection","State estimation","Autoregressive processes","Monte Carlo methods","Textile products","Predictive models","Filtering","Bayesian methods","Humans"
Conference_Titel :
Communications, Control and Signal Processing, 2008. ISCCSP 2008. 3rd International Symposium on
Print_ISBN :
978-1-4244-1687-5
DOI :
10.1109/ISCCSP.2008.4537248
