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Proceedings Paper

Exploiting sub-pixel edge detection methods with high-density sampling to provide .001 pixels rigid target localization
Author(s): Jeffrey F. Gray
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Paper Abstract

An empirical method for Canny filter optimization is explored and applied to the problem of measuring rigid motion between targets for nanometer motion detection. Operating with an image space pixel size of 3 μm, we are able to obtain static target localization to 6 nm at 2σ variation. To discriminate target roughness from sub-pixel measurement noise we use a Laplacian filter method. To extend the resolution beyond the limits of a single sub-pixel sample we use multiple adjacent edge locations along a single target to statistically reduce the overall resolution. With sufficient samples we obtain near .001 pixels resolving power. Even at this resolution we have not reached the limits of sampling which are possible from simultaneously sampling sets of parallel lines allowing for future refinement of method to localize well below .001 pixels.

Paper Details

Date Published: 2 May 2007
PDF: 9 pages
Proc. SPIE 6579, Mobile Multimedia/Image Processing for Military and Security Applications 2007, 65790X (2 May 2007); doi: 10.1117/12.739318
Show Author Affiliations
Jeffrey F. Gray, Univ. of New Orleans (United States)

Published in SPIE Proceedings Vol. 6579:
Mobile Multimedia/Image Processing for Military and Security Applications 2007
Sos S. Agaian; Sabah A. Jassim, Editor(s)

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