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Proceedings Paper

Morphological processing for UCIR detection
Author(s): David P. Casasent; Chao Yuan; Lakshmi Ramamoorthy; Dennis C. Braunreiter; Timothy M. Brucks
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Paper Abstract

A study was conducted on the use of morphological processing for detection in Uncooled Infra Red (UCIR) data using the Clutter type 1 and Clutter type 2 databases. The CMO algorithm was used with various modifications. A fixed minimum peak value was used rather than a fraction of the maximum peak per image. This is much more realistic, since many real scenes will not contain targets. One-dimensional directional structuring elements (SEs) were used for the Close Minus Open algorithm. We used the range of gray levels within the output blob peaks (blob analysis) and larger windows in peak sorting to reduce false alarms. A new dilation minus erosion morphological algorithm gave the best result.

Paper Details

Date Published: 6 August 2003
PDF: 12 pages
Proc. SPIE 5106, Optical Pattern Recognition XIV, (6 August 2003); doi: 10.1117/12.501537
Show Author Affiliations
David P. Casasent, Carnegie Mellon Univ. (United States)
Chao Yuan, Carnegie Mellon Univ. (United States)
Lakshmi Ramamoorthy, Carnegie Mellon Univ. (United States)
Dennis C. Braunreiter, Raytheon Missile Systems Co. (United States)
Timothy M. Brucks, Raytheon Missile Systems Co. (United States)


Published in SPIE Proceedings Vol. 5106:
Optical Pattern Recognition XIV
David P. Casasent; Tien-Hsin Chao, Editor(s)

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