Paper
1 July 1990 Maximum a-posteriori detection and figures of merit for detection under uncertainty
Robert F. Wagner, Kyle J. Myers, Markku J. Tapiovaara, David G. Brown, Arthur E. Burgess
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Abstract
The problem of image assessment is examined for several cases of parameter uncertainty. Several ideal and sub-ideal observers are considered and figures of merit (FOM) for describing their performance are considered. Advantages and disadvantages of these FOMs are enumerated. The spectrum of noise equivalent quanta, NEQ(f), appears to be the most useful for evaluating a broad class of practical problems since the performance of the best-linear as well as the ideal non-linear observers considered here is monotonic with its components. However, more work is required within this context to quantify the effects of the "null space," or regions in object space for which NEQ = 0. These regions derive from incomplete measurement sets and may lead to severe image degrading artifacts that are not adequately covered by any FOMs considered here.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Robert F. Wagner, Kyle J. Myers, Markku J. Tapiovaara, David G. Brown, and Arthur E. Burgess "Maximum a-posteriori detection and figures of merit for detection under uncertainty", Proc. SPIE 1231, Medical Imaging IV: Image Formation, (1 July 1990); https://doi.org/10.1117/12.18797
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Cited by 9 scholarly publications.
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KEYWORDS
Signal detection

Interference (communication)

Electronic filtering

Linear filtering

Image acquisition

Medical imaging

Gaussian filters

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