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Proceedings Paper

Nonlinear filters to improve width estimates from linescan cameras
Author(s): J. Andrew Bangham; F. W. D. Woodhams
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Paper Abstract

Interest in image processing is not confined to 2D, 1D linescan cameras are increasingly used to monitor the width of objects in web processes, production lines, extrusions, etc. An object, for example a wire extrusion is illuminated from behind to create a silhouette, is represented in an image of that object, as a local (or regional) extremum of intensity. In a single line scan taken across the wire, the object appears as a pulse. The width of the pulse is then a measure of the wire diameter. In a typical application, the pulse width is monitored by comparing the scanline with a stored background then compressing the resulting binary scan line using runlength code so that the pulse width can be compared with a template. It is often necessary to interpret the width from a noisy graylevel signal. It has been reported that the width of noisy pulses can be estimated very well using sieves. Furthermore, very fast sieves can be implemented in digital form consistent with handling the 20Msample data rates that might be encountered. Here, the results of experiments using a linescan camera coupled with a recursive datasieve to measure object widths are reported.

Paper Details

Date Published: 25 March 1996
PDF: 5 pages
Proc. SPIE 2662, Nonlinear Image Processing VII, (25 March 1996); doi: 10.1117/12.235828
Show Author Affiliations
J. Andrew Bangham, Univ. of East Anglia (United Kingdom)
F. W. D. Woodhams, Univ. of East Anglia (United Kingdom)


Published in SPIE Proceedings Vol. 2662:
Nonlinear Image Processing VII
Edward R. Dougherty; Jaakko T. Astola; Harold G. Longbotham, Editor(s)

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