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Proceedings Paper

A Tentative Application Of Morphological Filters To Time-Varying Images
Author(s): D. Billard; B. Poquillon
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Paper Abstract

In this paper, morphological filters, which are commonly used to process either 2D or multidimensional static images, are generalized to the analysis of time-varying image sequence. The introduction of the time dimension induces then interesting prop-erties when designing such spatio-temporal morphological filters. In particular, the specification of spatio-temporal structuring ele-ments (equivalent to time-varying spatial structuring elements) can be adjusted according to the temporal variations of the image sequences to be processed : this allows to derive specific morphological transforms to perform noise filtering or moving objects discrimination on dynamic images viewed by a non-stationary sensor. First, a brief introduction to the basic principles underlying morphological filters will be given. Then, a straightforward gener-alization of these principles to time-varying images will be pro-posed. This will lead us to define spatio-temporal opening and closing and to introduce some of their possible applications to process dynamic images. At last, preliminary results obtained us-ing a natural forward looking infrared (FUR) image sequence are presented.

Paper Details

Date Published: 2 March 1989
PDF: 6 pages
Proc. SPIE 1027, Image Processing II, (2 March 1989); doi: 10.1117/12.950274
Show Author Affiliations
D. Billard, Laboratoires d'Electronique et de Physique appliquee (France)
B. Poquillon, Laboratoires d'Electronique et de Physique appliquee (France)

Published in SPIE Proceedings Vol. 1027:
Image Processing II
Peter J.S. Hutzler; Andre J. Oosterlinck, Editor(s)

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