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Defect Detection on Patterned Jacquard Fabric
Washington, DC October 15-October 17
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AIPR.2003.128426632nd Applied Imagery Pattern Recognit ...
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Henry Y. T. Ngan, The University of Hong Kong, Pokfulam Road
Grantham K. H. Pang, The University of Hong Kong, Pokfulam Road
S. P. Yung, The University of Hong Kong, Pokfulam Road
Michael K. Ng, The University of Hong Kong, Pokfulam Road
The techniques for defect detection on plain (unpatterned) fabrics have been well developed nowadays. This paper is on developing visual inspection methods for defect detection on patterned fabrics. A review on some defect detection methods on patterned fabrics will be given. Then, a new method for patterned fabric inspection called Golden Image Subtraction (GIS) is introduced. GIS is an efficient and fast method, which can segment out the defective regions on patterned fabric effectively. An improved version of the GIS method using wavelet transform is also given. This research result will contribute to the development of an automated fabric inspection machine for the textile industry.
Citation:
Henry Y. T. Ngan, Grantham K. H. Pang, S. P. Yung, Michael K. Ng, "Defect Detection on Patterned Jacquard Fabric," aipr, pp.163, 32nd Applied Imagery Pattern Recognition Workshop (AIPR'03), 2003
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