Paper
21 April 1998 Human vs model observers in anatomic backgrounds
Author Affiliations +
Abstract
Model observers have been compared to human performance detecting low contrast signals in a variety of computer generated background including white noise, correlated noise, lumpy backgrounds, and two component noise. The purpose of the present paper is to extend this work by comparing a cumber of previously proposed model observers to human visual detection performance in real anatomic backgrounds. Human and model observer performance are compared as a function of increasing added white noise. Our results show that three of the four models are good predictors of human performance.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Miguel P. Eckstein, Craig K. Abbey, and James Stuart Whiting "Human vs model observers in anatomic backgrounds", Proc. SPIE 3340, Medical Imaging 1998: Image Perception, (21 April 1998); https://doi.org/10.1117/12.306180
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CITATIONS
Cited by 37 scholarly publications.
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KEYWORDS
Performance modeling

Eye models

Data modeling

Medical imaging

Signal detection

Statistical analysis

Statistical modeling

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