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Proceedings Paper

Target detection of very dim objects using gray-level morphologic tophat
Author(s): Raphael J. Horak; Juliette Mattioli
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Paper Abstract

Detection of very dim objects is a challenge in many fields like in panoramic infrared surveillance, early detection of pin-point targets in air-to-air or air-to-ground missile imagery, medical imagery or low signal detection. The difficulty of detection of dim targets is especially crucial when the target has an evolving background clutter or when this background has big variations in signal to noise ratio. We introduce a two step new morphological algorithm which first 'learns' the characteristics of the background of the image by extracting a minimal set of structural elements on an image where the target is not yet seen, and which then apply those elements on a second image where the target is present in order to 'extract everything that doesn't reassemble to the background.' Experimental results show that this new morphological algorithm using gray-level opening by a union of structural elements has a good capability of detecting new objects compared to a background even if this object is dim and the background highly cluttered. Furthermore the algorithm is able to deal under certain conditions with evolving background.

Paper Details

Date Published: 26 August 1996
PDF: 12 pages
Proc. SPIE 2785, Vision Systems: New Image Processing Techniques, (26 August 1996); doi: 10.1117/12.248532
Show Author Affiliations
Raphael J. Horak, Thomson-CSF (France)
Juliette Mattioli, Thomson-CSF (France)

Published in SPIE Proceedings Vol. 2785:
Vision Systems: New Image Processing Techniques
Philippe Refregier, Editor(s)

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