Defect Detection Study of Fabric Based on Gabor Filter Algorithm
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.
Tian Huang, Dawei Zhang, Bin Lin, Anping Xu, Yanling Tian and Weiguo Gao
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