Fabric defect inspection based on lattice segmentation and Gabor filtering

Abstract

Fabric defect inspection aims at detecting the defects presented on a patterned fabric surface to achieve high quality. However, visual inspection is challenging due to the diversity of the fabric patterns and defects. This paper presents an automatic defect inspection method which compares the similarities of semantic sub-images conformed to… (More)
DOI: 10.1016/j.neucom.2017.01.039

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Cite this paper

@article{Jia2017FabricDI, title={Fabric defect inspection based on lattice segmentation and Gabor filtering}, author={Liang Jia and Chen Chen and Jiuzhen Liang and Zhenjie Hou}, journal={Neurocomputing}, year={2017}, volume={238}, pages={84-102} }