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Proceedings Paper

Observer models and human visual detection performance with different targets
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Paper Abstract

Prior publications have shown that ideal observer models provide a good estimate of measured d' values for varying noise amplitude and target strength after allowing for observer internal noise and human efficiency. To provide a consistent estimate of visual performance in general applications, the internal noise and human efficiency should either be fixed values or calculable based on experimental conditions. In the current study, we test observer models for several sizes of three types of targets (rectangular, Gaussian, or Gabor) at two uniform background luminances and three levels of added Gaussian noise. The ideal observer predictions for each individual experimental condition are well correlated with measured d' values (r2 > 0.90 in most cases); however, the required internal noise and human efficiency vary substantially with target and luminance. A modified ideal observer, which includes a luminance-dependent eye filter and Gabor channels, is developed to simultaneously account for the measured d' values in all experimental conditions with r2 = 0.88. This observer model can be used to estimate general target detectability in flat two-dimensional image areas.

Paper Details

Date Published: 4 May 2004
PDF: 11 pages
Proc. SPIE 5372, Medical Imaging 2004: Image Perception, Observer Performance, and Technology Assessment, (4 May 2004); doi: 10.1117/12.535748
Show Author Affiliations
Jian Yang, Eastman Kodak Co. (United States)
Cathleen Daniels Cerosaletti, Eastman Kodak Co. (United States)


Published in SPIE Proceedings Vol. 5372:
Medical Imaging 2004: Image Perception, Observer Performance, and Technology Assessment
Dev P. Chakraborty; Miguel P. Eckstein, Editor(s)

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