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Proceedings Paper

Vibration estimation in image sequences for detection of temporal-domain signals
Author(s): Gennady Feldman; Doron Bar; Israel Tugendhaft; Ariel Elior
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Paper Abstract

An algorithm is reported for estimation and suppression of small vibration effects in image sequences. Such effects, even of sub-pixel magnitude, may critically degrade power spectrum of temporal-domain signals. The algorithm consists of the following steps: (1) We perform preliminary detection of the presence of vibration and localize its fundamental frequency by estimating and analyzing the two-dimensional signal, composed of micro-displacements caused by vibrations; (2) We approximate this two-dimensional signal by a two-dimensional periodic function, treating it basically the same way as periodic signals. This model depends on a small number of coefficients. These coefficients are determined by direct LS fitting of the data. (3) We eliminate the effects of the vibration using this model function, for each pixel separately. With this algorithm, several image sequences were processed. The vibration image motions were reconstructed with sub-pixel accuracy and were not, usually, reducible to one-dimensional sinusoidal motion. The algorithm appears to be useful for improving detection of periodic signals in image sequences and reducing false alarms. This article continues our work on detection of periodic signals in image sequences.

Paper Details

Date Published: 2 November 2004
PDF: 8 pages
Proc. SPIE 5558, Applications of Digital Image Processing XXVII, (2 November 2004); doi: 10.1117/12.559478
Show Author Affiliations
Gennady Feldman, Soreq Nuclear Research Ctr. (Israel)
Doron Bar, Soreq Nuclear Research Ctr. (Israel)
Israel Tugendhaft, Soreq Nuclear Research Ctr. (Israel)
Ariel Elior, Soreq Nuclear Research Ctr. (Israel)


Published in SPIE Proceedings Vol. 5558:
Applications of Digital Image Processing XXVII
Andrew G. Tescher, Editor(s)

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