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Proceedings Paper

Dynamic stimulus enhancement with Gabor-based filtered images
Author(s): Alan R. Pinkus; Miriam J. Poteet; Allan J. Pantle
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Paper Abstract

In an empirical study, observers gave ratings of their ability to detect a military target in filtered images of natural scenes. The purpose of the study was twofold. First, the absolute value of the convolution images generated with oriented Gabor filters of different scales and orientations, and pairs of filters (corner filters), provided brightness images which were evaluated as saliency maps of potential target locations. The generation of the saliency maps with oriented Gabor filters was modeled after the second-order processing of texture in the visual system. Second, two methods of presentation of the saliency maps were compared. With the flicker presentation method, a saliency map was flickered on and off at a 2-Hz rate and superimposed upon the image of the original scene. The flicker presentation method was designed to take advantage of the known properties of the magnocellular pathway of the visual system. A second method (toggle presentation) used simply for comparison, required observers to switch back and forth between the saliency image and the image of the original scene. Primary results were that (1) saliency images produced with corner filters were rated higher than those produced with simple Gabor filters, and (2) ratings obtained with the flicker method were higher than those obtained with the toggle method, with the greatest advantage for filters tuned to lower spatial frequencies. The second result suggests that the flicker presentation method holds considerable promise as a new technique for combining information (dynamic image fusion) from two or more independently obtained (e.g., multi-spectral) or processed images.

Paper Details

Date Published: 17 April 2008
PDF: 11 pages
Proc. SPIE 6968, Signal Processing, Sensor Fusion, and Target Recognition XVII, 69681R (17 April 2008); doi: 10.1117/12.778002
Show Author Affiliations
Alan R. Pinkus, Air Force Research Lab. (United States)
Miriam J. Poteet, Consortium Research Fellows Program (United States)
Allan J. Pantle, Miami Univ. (United States)


Published in SPIE Proceedings Vol. 6968:
Signal Processing, Sensor Fusion, and Target Recognition XVII
Ivan Kadar, Editor(s)

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