Paper
20 June 1995 Center-surround filters for the detection of small targets in cluttered multispectral imagery: background and filter design
Chyuan-Huei Thomas Yang, Mark S. Schmalz, Wen-Chen Hu, Gerhard X. Ritter
Author Affiliations +
Abstract
Center-surround (CS) fields have long been identified in the human visual system as having properties of edge enhancement that facilitate the detection, location, and tracking of small objects. Unfortunately, the automatic digital implementation of such capabilities is not straightforward, since digital computers lack the neural functionality and connectivity inherent in the retina, optic chiasm, geniculate nuclei, and visual cortex. In this paper, we discuss efficient techniques for implementing CS detectors in terms of a class of nonlinear filters. In particular, we emphasize image enhancement schemes that cue the registration of CS detectors over the target, thus rendering our filters implementationally feasible in terms of hit rate and computational cost. Examples are given of the CS detectors that we call the adaptive Double- Gated and Triple-Gated filters (DGF and TGF). Such filters account for spatial nonstationary input. We further show how the DGF and TGF are useful for object detection in multispectral imagery. Analyses emphasize error and computational cost in practical sensing scenarios.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chyuan-Huei Thomas Yang, Mark S. Schmalz, Wen-Chen Hu, and Gerhard X. Ritter "Center-surround filters for the detection of small targets in cluttered multispectral imagery: background and filter design", Proc. SPIE 2496, Detection Technologies for Mines and Minelike Targets, (20 June 1995); https://doi.org/10.1117/12.211360
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CITATIONS
Cited by 5 scholarly publications.
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KEYWORDS
Sensors

Target detection

Multispectral imaging

Image enhancement

Image filtering

Image processing

Nonlinear filtering

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