20 October 1993 Morphology-based algorithms for target detection/segmentation in FLIR imagery
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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.
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Tamar Peli, Tamar Peli, Luc M. Vincent, Luc M. Vincent, Victor T. Tom, Victor T. Tom, } "Morphology-based algorithms for target detection/segmentation in FLIR imagery", Proc. SPIE 1957, Architecture, Hardware, and Forward-Looking Infrared Issues in Automatic Target Recognition, (20 October 1993); doi: 10.1117/12.161427; https://doi.org/10.1117/12.161427
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