Morphological processing for UCIR detection

David P. Casasent; Chao Yuan; Lakshmi Ramamoorthy; Dennis C. Braunreiter; Timothy M. Brucks

doi:10.1117/12.501537

6 August 2003 Morphological processing for UCIR detection

David P. Casasent, Chao Yuan, Lakshmi Ramamoorthy, Dennis C. Braunreiter, Timothy M. Brucks

Proceedings Volume 5106, Optical Pattern Recognition XIV; (2003) https://doi.org/10.1117/12.501537
Event: AeroSense 2003, 2003, Orlando, Florida, United States

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.

Citation Download Citation

David P. Casasent, Chao Yuan, Lakshmi Ramamoorthy, Dennis C. Braunreiter, and Timothy M. Brucks "Morphological processing for UCIR detection", Proc. SPIE 5106, Optical Pattern Recognition XIV, (6 August 2003); https://doi.org/10.1117/12.501537

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