Fabric defect detection based on Butterworth filters

Author

Yingying Zhang ; Runping Han

Author_Institution

Sch. of Inf. Eng., Beijing Inst. of Fashion Technol., Beijing, China

fYear

2013

fDate

23-25 March 2013

Firstpage

1099

Lastpage

1103

Abstract

A method for fabric defect detection based on Butterworth filters is proposed. A group of Butterworth filters with multi-scale and multi-orientation are designed based on the features of textured fabric with single color and simple structure. The fabric sample image is processed by the filter group, and filtered images are obtained which characterize the fabric defect in different orientations and scales in the frequency domain. These filtered images are binarized and then fused in order to reconstruct the binary output image that separates the defect from the texture background. Experiment results have confirmed the effectiveness and adaptability of the proposed method for fabric defect detection.

Keywords

Butterworth filters; fabrics; image reconstruction; image texture; inspection; production engineering computing; Butterworth filters; binary output image; fabric defect detection; fabric sample image; filter group; image reconstruction; texture background; textured fabric; Fabrics; Frequency-domain analysis; Gabor filters; Information filters; Transfer functions;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Science and Technology (ICIST), 2013 International Conference on

Conference_Location

Yangzhou

Print_ISBN

978-1-4673-5137-9

Type

conf

DOI

10.1109/ICIST.2013.6747728

Filename

6747728