Inspection of surface defects using optimal FIR filters

Author

Kumar, Ajay

Author_Institution

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

Volume

2

fYear

2003

fDate

6-10 April 2003

Abstract

A new method of surface inspection for textured materials is investigated. The linear FIR filters that offer optimal energy separation between the defect and defect-free regions of texture have been utilized. 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 discussed. A general web inspection system based on optimal filters is proposed. Experiments with this new approach have yielded excellent results. The on-line computational simplicity of using the proposed scheme confirms the usefulness of the approach for industrial inspection.

Keywords

FIR filters; automatic optical inspection; feature extraction; filtering theory; image texture; optimisation; surface texture; textile industry; automated visual inspection; fabric defects; fabric images; feature separation criteria; industrial inspection; linear FIR filters; optimal FIR filters; optimization; surface defects; surface inspection; textured materials; web inspection; Autocorrelation; Finite impulse response filter; Gabor filters; IIR filters; Information filtering; Information filters; Inspection; Low pass filters; Pixel; Surface texture;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03). 2003 IEEE International Conference on

ISSN

1520-6149

Print_ISBN

0-7803-7663-3

Type

conf

DOI

10.1109/ICASSP.2003.1202339

Filename

1202339