Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/70968
Title: | Fabric defect detection for apparel industry : a nonlocal sparse representation approach | Authors: | Tong, L Wong, WK Kwong, CK |
Issue Date: | 2017 | Source: | IEEE access, 2017, v. 5, p. 5947-5964 | Abstract: | With the increasing customer demand on fabric variety in fashion markets, fabric texture becomes much more diverse, which brings great challenges to accurate fabric defect detection. In this paper, a fabric inspection model, consisting of image preprocessing, image restoration, and thresholding operation, is developed to address the woven fabric defect detection problem in the apparel industry, especially for fabric with complex texture and tiny defects. The image preprocessing first improves the image contrast in order to make the details of defects more salient. Based on the learned sub-dictionaries, a non-locally centralized sparse representation model is adopted to estimate the non-defective version of the input images, so that the possible defects can be easily segmented from the residual images of the estimated images and the inputs by thresholding operation. The performance of the proposed defect detection model was evaluated through extensive experiments with various types of real fabric samples. The proposed detection model was proved to be effective and robust, and superior to some representative detection models in terms of the detection accuracy and false alarms. | Keywords: | Fabric inspection Image restoration Sparse representation Nonlocal similarity |
Publisher: | Institute of Electrical and Electronics Engineers | Journal: | IEEE access | ISSN: | 2169-3536 | DOI: | 10.1109/ACCESS.2017.2667890 | Rights: | © 2017 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information. The following publication L. Tong, W. K. Wong and C. K. Kwong, "Fabric Defect Detection for Apparel Industry: A Nonlocal Sparse Representation Approach," in IEEE Access, vol. 5, pp. 5947-5964, 2017 is available at https://doi.org/10.1109/ACCESS.2017.2667890. |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Tong_Fabric_Defect_Detection.pdf | 18.07 MB | Adobe PDF | View/Open |
Page views
97
Last Week
4
4
Last month
Citations as of Apr 14, 2024
Downloads
14
Citations as of Apr 14, 2024
SCOPUSTM
Citations
63
Citations as of Mar 29, 2024
WEB OF SCIENCETM
Citations
50
Last Week
0
0
Last month
Citations as of Apr 18, 2024
Google ScholarTM
Check
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.