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Title: Characterization and classification of fabric defects using discrete cosine transformation and artificial neural network
Authors: Behera, B K
Mani, M P
Keywords: Artificial neural network
Back propagation training algorithm
Discrete cosine transform
Fabric defects
Issue Date: Dec-2007
Publisher: CSIR
Series/Report no.: Int. Cl.⁸ D06H3/00, G06N3/02
Abstract: This paper reports how images of woven fabric defects are gathered using charge coupled device imaging technique and digitized. Discrete cosine transformation (DCT) technique is adopted to characterize the defects and back propagation algorithm based artificial neural network is used to classify the various fabric defects. DCT technique is found to give outstanding results for classification of fabric defects. The comparatively high prediction error in one or two cases may be due to the insufficient information about the particular defect from the coefficients of that defect.
Description: 421-426
ISSN: 0971-0426
Appears in Collections:IJFTR Vol.32(4) [December 2007]

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