Paper
22 August 2000 Advanced gray-scale morphological filters for the detection of sea mines in side-scan sonar imagery
Holger Lange, Luc M. Vincent
Author Affiliations +
Abstract
Computing Devices Canada, a General Dynamics company, undertakes research in image processing with focus on the automatic recognition of sea mines. This paper present the use of advanced gray-scale morphological filters for this function as applied to side scan sonar imagery. Sea mines in side scan sonar imagery can be characterized by a mine-body and a mine-shadow. Mine-bodies consist of bright regions, relative to the background, with a specific shape and size. Mine-shadows consist of dark regions, relative to the background, with a specific shape and sizes. The shapes and sizes of these regions depend on the mine type, the orientation of the mine, the physical acquisition process of the sonar imagery, and the environment in which the mine is located. Advanced gray-scale morphological filters provide very powerful and robust tools to extract bright and dark regions with low signal to noise ratio in very noisy imagery using geometric constraints such as shape, size and total surface area. For the detection of sea mines we use these morphological filters with the minimum and maximum geometric constraints for the mine-bodies and mine-shadows. The independent detection of mine-bodies and mine-shadows allows the detection of bottom, moored and drifting mines with the same detection algorithm. Consistent mine-body and mine- shadow combinations are resolved into mine like objects.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Holger Lange and Luc M. Vincent "Advanced gray-scale morphological filters for the detection of sea mines in side-scan sonar imagery", Proc. SPIE 4038, Detection and Remediation Technologies for Mines and Minelike Targets V, (22 August 2000); https://doi.org/10.1117/12.396263
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Cited by 10 scholarly publications.
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KEYWORDS
Mining

Image filtering

Land mines

Naval mines

Image processing

Detection and tracking algorithms

Databases

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