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Proceedings Paper

Data compression for digital video cameras in online machine vision systems
Author(s): Norhashim M. Arshad; David Mark Harvey; Clifford Allan Hobson
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Paper Abstract

The work has set out to investigate the application of data compression on real-time images used in shape measurement and machine vision applications. The quality of monochromatic images produced from compression based on the lossless schemes and DCT transform were analyzed for their degradation level. The lossy based DCT method appeared to provide the higher compression ratio of 6:1 required. Special concern was focused into the fringe pattern analysis area, whereby how the degraded compressed fringe images could possibly effect the accuracy of its application output. The real-time image compression mechanism is anticipated for a seamless transmission to a personal computer, through a standard interface channel.

Paper Details

Date Published: 6 October 1998
PDF: 9 pages
Proc. SPIE 3521, Machine Vision Systems for Inspection and Metrology VII, (6 October 1998); doi: 10.1117/12.326975
Show Author Affiliations
Norhashim M. Arshad, Liverpool John Moores Univ. (United Kingdom)
David Mark Harvey, Liverpool John Moores Univ. (United Kingdom)
Clifford Allan Hobson, Liverpool John Moores Univ. (United Kingdom)

Published in SPIE Proceedings Vol. 3521:
Machine Vision Systems for Inspection and Metrology VII
Bruce G. Batchelor; John W. V. Miller; Susan Snell Solomon, Editor(s)

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