Model based defect detection problem:: Particle filter approach

被引：4

作者：

Bastbueyuek, Kubilay ^{[1
]}

Coban, Kuersat ^{[1
]}

Ertuezuen, Aysin ^{[1
]}

机构：

[1] ASELSAN Inc, Radar & Elect Warfare & Intelligence Syst, Ankara, Turkey

来源：

2008 3RD INTERNATIONAL SYMPOSIUM ON COMMUNICATIONS, CONTROL AND SIGNAL PROCESSING, VOLS 1-3 | 2008年

关键词：

D O I：

10.1109/ISCCSP.2008.4537248

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：348 / 351

页数：4

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