Proceedings Paper
A contrast-sensitive channelized-Hotelling observer to predict human performance in a detection task using lumpy backgrounds and Gaussian signals| Format | Member Price | Non-Member Price |
|---|---|---|
| $17.00 | $21.00 |
Paper Abstract
Previously, a non-prewhitening matched filter (NPWMF) incorporating a model for the contrast sensitivity of the
human visual system was introduced for modeling human performance in detection tasks with different viewing
angles and white-noise backgrounds by Badano et al. But NPWMF observers do not perform well detection
tasks involving complex backgrounds since they do not account for random backgrounds. A channelized-Hotelling
observer (CHO) using difference-of-Gaussians (DOG) channels has been shown to track human performance well
in detection tasks using lumpy backgrounds. In this work, a CHO with DOG channels, incorporating the model
of the human contrast sensitivity, was developed similarly. We call this new observer a contrast-sensitive CHO
(CS-CHO). The Barten model was the basis of our human contrast sensitivity model. A scalar was multiplied
to the Barten model and varied to control the thresholding effect of the contrast sensitivity on luminance-valued
images and hence the performance-prediction ability of the CS-CHO. The performance of the CS-CHO was
compared to the average human performance from the psychophysical study by Park et al., where the task
was to detect a known Gaussian signal in non-Gaussian distributed lumpy backgrounds. Six different signal-intensity
values were used in this study. We chose the free parameter of our model to match the mean human
performance in the detection experiment at the strongest signal intensity. Then we compared the model to the
human at five different signal-intensity values in order to see if the performance of the CS-CHO matched human
performance. Our results indicate that the CS-CHO with the chosen scalar for the contrast sensitivity predicts
human performance closely as a function of signal intensity.
Paper Details
Date Published: 20 March 2007
PDF: 8 pages
Proc. SPIE 6515, Medical Imaging 2007: Image Perception, Observer Performance, and Technology Assessment, 65150V (20 March 2007); doi: 10.1117/12.708582
Published in SPIE Proceedings Vol. 6515:
Medical Imaging 2007: Image Perception, Observer Performance, and Technology Assessment
Yulei Jiang; Berkman Sahiner, Editor(s)
PDF: 8 pages
Proc. SPIE 6515, Medical Imaging 2007: Image Perception, Observer Performance, and Technology Assessment, 65150V (20 March 2007); doi: 10.1117/12.708582
Show Author Affiliations
Subok Park, Ctr. for Devices and Radiological Health, FDA (United States)
Aldo Badano, Ctr. for Devices and Radiological Health, FDA (United States)
Aldo Badano, Ctr. for Devices and Radiological Health, FDA (United States)
Brandon D. Gallas, Ctr. for Devices and Radiological Health, FDA (United States)
Kyle J. Myers, Ctr. for Devices and Radiological Health, FDA (United States)
Kyle J. Myers, Ctr. for Devices and Radiological Health, FDA (United States)
Published in SPIE Proceedings Vol. 6515:
Medical Imaging 2007: Image Perception, Observer Performance, and Technology Assessment
Yulei Jiang; Berkman Sahiner, Editor(s)
© SPIE. Terms of Use
