NISCAIR Online Periodicals Repository

Research Journals >
Indian Journal of Fibre & Textile Research (IJFTR) >
IJFTR Vol.32 [2007] >
IJFTR Vol.32(4) [December 2007] >

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
IPC CodeInt. 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.
Page(s): 421-426
ISSN: 0971-0426
Source:IJFTR Vol.32(4) [December 2007]

Files in This Item:

File Description SizeFormat
FTR 32(4) (2007) 421-426.pdf672.36 kBAdobe PDFView/Open
 Current Page Visits: 1188 
Recommend this item


Online Submission of Articles |  NISCAIR Website |  National Knowledge Resources Consortium |  Contact us |  Feedback

Disclaimer: NISCAIR assumes no responsibility for the statements and opinions advanced by contributors. The editorial staff in its work of examining papers received for publication is helped, in an honorary capacity, by many distinguished engineers and scientists.

CC License Except where otherwise noted, the Articles on this site are licensed under Creative Commons License: CC Attribution-Noncommercial-No Derivative Works 2.5 India

Copyright © 2015 The Council of Scientific and Industrial Research, New Delhi. All rights reserved.

Powered by DSpace Copyright © 2002-2007 MIT and Hewlett-Packard | Compliant to OAI-PMH V 2.0

Home Page Total Visits: 171564 since 01-Sep-2015  Last updated on 30-Jun-2016Webmaster: