Statistically defined backgrounds: performance of a modified nonprewhitening observer model.
Statistically defined backgrounds: performance of a modified nonprewhitening observer model.
复制标题
统计定义的背景:改进的非预白化观察者模型的性能。
DOI:
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复制
发表时间:
1994
影响因子:
1.9
通讯作者:
A. Burgess
中科院分区:
文献类型:
--
作者:
A. Burgess
Research on human-observer performance for noise-limited tasks (such as those found in medical imaging) has recently progressed to investigations in which some signal or image parameters are statistically defined. In these cases the ideal-observer procedure is usually nonlinear, and analysis is mathematically intractable. Two suboptimal but linear observer models have been proposed for mathematical convenience. The Hotelling observer is the optimal linear model and has been found to give a good fit to most human results. The nonprewhitening (NPW) matched filter also has been useful for explanation of some human results. Rolland and Barrett [J. Opt. Soc. Am. A 9, 649 (1992)] recently reported human results for detection of signals in white noise superimposed on statistically defined (lumpy) backgrounds in experiments that simulated nuclear medicine imaging systems. They found that the Hotelling model gave a good fit, whereas the simple NPW matched filter gave a poor fit. It is shown that the NPW model can also fit their data if a spatial frequency filter of a shape similar to the human contrast-sensitivity function is added to the NPW observer model. The best fit is achieved by use of an eye-filter model E(f) = f1.3 exp(-cf2), with c selected to yield a peak at 4 cycles/deg.
DOI:
10.1364/josaa.2.001752
发表时间:
1985-10
期刊:
Journal of the Optical Society of America. A, Optics and image science
影响因子:
--
作者:
K. Myers;H. Barrett;M. Borgstrom;D. Patton;G. Seeley
通讯作者:
K. Myers;H. Barrett;M. Borgstrom;D. Patton;G. Seeley
DOI:
10.1364/josaa.4.002447
发表时间:
1987-12-01
影响因子:
1.9
作者:
MYERS, KJ;BARRETT, HH
通讯作者:
BARRETT, HH
DOI:
10.1364/josaa.9.000649
发表时间:
1992-05-01
影响因子:
1.9
作者:
ROLLAND, JP;BARRETT, HH
通讯作者:
BARRETT, HH