使用优化滤波器检测纹理材料中的缺陷。

Defect detection in textured materials using optimized filters.

作者信息

Kumar A, Pang G H

机构信息

Dept. of Comput. Sci., Hong Kong Univ. of Sci. & Technol., Clear Water Bay, China.

出版信息

IEEE Trans Syst Man Cybern B Cybern. 2002;32(5):553-70. doi: 10.1109/TSMCB.2002.1033176.

DOI:10.1109/TSMCB.2002.1033176

PMID:18244861

Abstract

The problem of automated defect detection in textured materials is investigated. A new approach for defect detection using linear FIR filters with optimized energy separation is proposed. The performance of different feature separation criteria with reference to fabric defects has been evaluated. The issues relating to the design of optimal filters for supervised and unsupervised web inspection are addressed. A general web inspection system based on the optimal filters is proposed. The experiments on this new approach have yielded excellent results. The low computational requirement confirms the usefulness of the approach for industrial inspection.

摘要

研究了纹理材料中的自动缺陷检测问题。提出了一种使用具有优化能量分离的线性FIR滤波器进行缺陷检测的新方法。评估了不同特征分离标准在织物缺陷方面的性能。解决了与监督和非监督卷材检测的最优滤波器设计相关的问题。提出了一种基于最优滤波器的通用卷材检测系统。对这种新方法的实验取得了优异的结果。低计算需求证实了该方法在工业检测中的实用性。