Paper
7 July 1998 Background clutter in the SW infrared spectral band: measurement and analysis
Alex Shteinman, Yossi Bushlin
Author Affiliations +
Abstract
The ability to detect targets, either by human observer or by machine vision algorithms, is strongly affected by the clutter properties of the background. Therefore, the quantitative characterization of the clutter is a must in any target acquisition scenario. This paper will propose a new metric for clutter quantification based on blob analysis algorithm. The algorithm consists of comparison of various calculated properties of the blobs, found in the image, to the properties of the blob representing a target. The algorithm was tested on an experimental database of IR images measured during an air-born field test by a commercially available Focal Plane Array IR camera.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Alex Shteinman and Yossi Bushlin "Background clutter in the SW infrared spectral band: measurement and analysis", Proc. SPIE 3375, Targets and Backgrounds: Characterization and Representation IV, (7 July 1998); https://doi.org/10.1117/12.327174
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Detection and tracking algorithms

Target detection

Databases

Infrared imaging

Binary data

Human vision and color perception

Image processing

Back to Top