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Proceedings Paper

Morphology-based algorithms for target detection/segmentation in FLIR imagery
Author(s): Tamar Peli; Luc M. Vincent; Victor T. Tom
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Paper Abstract

This paper describes a morphology-based hierarchical process for the detection and segmentation of low and high contrast targets in second generation FLIR imagery. The computational framework is based on the application of simple non-linear binary and grayscale operations that lead to real-time implementations. The process consists of two major processing steps: target-cueing/coarse-segmentation and contour refinement. Our multi-stage detection/segmentation process was applied to both real and simulated FLIR imagery. Preliminary results indicate that the developed morphology-based detector exhibits excellent detection performance for both low and high contrast targets in complex backgrounds while maintaining a low false alarm rate. Contour refinement is based on the watershed transform that is applied in a hierarchical fashion. In addition, our segmenter extracted accurate target outlines under poor conditions in which edge-based techniques or traditional watershed algorithms would have failed.

Paper Details

Date Published: 20 October 1993
PDF: 10 pages
Proc. SPIE 1957, Architecture, Hardware, and Forward-Looking Infrared Issues in Automatic Target Recognition, (20 October 1993); doi: 10.1117/12.161427
Show Author Affiliations
Tamar Peli, Atlantic Aerospace Electronics Corp. (United States)
Luc M. Vincent, Atlantic Aerospace Electronics Corp. (United States)
Victor T. Tom, Atlantic Aerospace Electronics Corp. (United States)


Published in SPIE Proceedings Vol. 1957:
Architecture, Hardware, and Forward-Looking Infrared Issues in Automatic Target Recognition
Lynn E. Garn; Lynda Ledford Graceffo, Editor(s)

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