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Proceedings Paper

Comparison of non-prewhitening and Hotelling observer models
Author(s): Arthur E. Burgess
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Paper Abstract

Recent investigations of human signal detection performance for noise limited tasks have used statistically defined signal or image parameters. The Bayesian ideal observer procedure is then nonlinear and analysis becomes mathematically intractable. Linear, but suboptimal, observer models have been proposed for mathematical convenience. Experiments by Rolland and Barrett involving detection of completely defined signals in white noise superimposed on statistically defined (Lumpy) backgrounds showed that the Fisher-Hotelling model gave a good fit while the simple nonprewhitening (NPW) matched filter gave a poor fit. Burgess showed that the NPW model can be modified to fit their data by adding a spatial frequency filter with response similar to the human contrast sensitivity function. New experimental results will be presented demonstrating that neither model is satisfactory. The results of our experiments done with a variety of spectral densities for the background can be described by a Fisher-Hotelling model modified to include simple circularly symmetric spatial frequency channels as proposed by Myers and Barrett. However, results of our variable viewing distance experiments do not agree with predictions of this simple channelized model. It will be necessary to use a more complex F model with physiologically reasonable spatial frequency channels.

Paper Details

Date Published: 17 April 1995
PDF: 8 pages
Proc. SPIE 2436, Medical Imaging 1995: Image Perception, (17 April 1995); doi: 10.1117/12.206837
Show Author Affiliations
Arthur E. Burgess, Rochester Institute of Technology (United States)


Published in SPIE Proceedings Vol. 2436:
Medical Imaging 1995: Image Perception
Harold L. Kundel, Editor(s)

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