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Proceedings Paper

Fabric defect detection using the wavelet transform in an ARM processor
Author(s): J. A. Fernández; S. A. Orjuela; J. Álvarez; W. Philips
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Paper Abstract

Small devices used in our day life are constructed with powerful architectures that can be used for industrial applications when requiring portability and communication facilities. We present in this paper an example of the use of an embedded system, the Zeus epic 520 single board computer, for defect detection in textiles using image processing. We implement the Haar wavelet transform using the embedded visual C++ 4.0 compiler for Windows CE 5. The algorithm was tested for defect detection using images of fabrics with five types of defects. An average of 95% in terms of correct defect detection was obtained, achieving a similar performance than using processors with float point arithmetic calculations.

Paper Details

Date Published: 2 February 2012
PDF: 8 pages
Proc. SPIE 8300, Image Processing: Machine Vision Applications V, 83000N (2 February 2012); doi: 10.1117/12.909432
Show Author Affiliations
J. A. Fernández, Antonio Nariño Univ. (Colombia)
S. A. Orjuela, Univ. Gent (Belgium)
J. Álvarez, Antonio Nariño Univ. (Colombia)
W. Philips, Univ. Gent (Belgium)

Published in SPIE Proceedings Vol. 8300:
Image Processing: Machine Vision Applications V
Philip R. Bingham; Edmund Y. Lam, Editor(s)

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