Defect Detection Study of Fabric Based on Gabor Filter Algorithm

Abstract:

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This thesis exploits a multichannel Gabor filters detection algorithm. Analysis filtering images from different orientations and scales, then fuses the multichannel data. Finally, a threshold iterative algorithm and mathematical morphology post-processing is used to achieve the fabric defect detection. The experiment selects five types of fabric defect image. Experimental results suggest that this algorithm can effectively identify blob-shaped, linear and planar defect and has well real-time character.

Info:

Periodical:

Materials Science Forum (Volumes 697-698)

Edited by:

Tian Huang, Dawei Zhang, Bin Lin, Anping Xu, Yanling Tian and Weiguo Gao

Pages:

491-494

DOI:

10.4028/www.scientific.net/MSF.697-698.491

Citation:

G.X. Li and Y.F. Li, "Defect Detection Study of Fabric Based on Gabor Filter Algorithm", Materials Science Forum, Vols. 697-698, pp. 491-494, 2012

Online since:

September 2011

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Price:

$35.00

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