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 inprovement in detection rate has been verified through extensive computer simulations.
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