Probe Based Recognition of Targets in Infrared Images
Probe Based Recognition of Targets in Infrared Images
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Date
1998-10-15
Authors
Der, Sandor Z.
Chellappa, Rama
Advisor
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Abstract
(Also cross-referenced as CAR-TR-693)
A probe based approach is used to recognize objects in a cluttered
background using an infrared imager. A probe is a simple mathematical
function which operates locally on image grey levels and produces an
output that is more directly usable by an algori thm. A directional probe
image is calculated by taking the difference in grey levels between pixels
a set distance apart in a given direction, centered on the probe image
pixel. These probe images contain the information necessary for use by an
object rec ognition algorithm in a readily usable, and mathematically
describable, form. A parametric statistical image background model which
describes the probe images is introduced. The parameters of the probe
image model can be readily estimated from the image. Knowledge of these
parameters, together with target signatures obtained from Computer Aided
Design (CAD) models, allows the likelihood ratio for a given object pose
hypothesis versus the background null hypothesis to be written. The
generalized likelihood ratio test is used to accept one of the object
poses or to choose the null hypothesis. Results of the method applied to
a large set of terrain model board images are presented.