Translator Disclaimer
Paper
16 April 1997 What is degrading human visual detection peformance in natural medical image backgrounds?
Author Affiliations +
Abstract
Experiments on visual detection in computer simulated noise (e.g. white noise) show that random variations from location to location in the image (due to noise) degrade human performance. Psychophysical experiments of visual detection of signals superimposed on a known deterministic background ('mask') show that human performance can be degraded by the presence of a high contrast deterministic background through divisive inhibition. The purpose of this paper is to perform a psychophysical experiment to determine the relative importance of these two sources of performance degradation (random background variations and contrast masking effects) in human visual detection in natural medical image backgrounds. The results show that both contrast masking and random background variations degrade human performance for detecting signals in natural medical image backgrounds. These results suggest that current observer models which do not include a source of degradation due to the deterministic presence of the background might need to model such effects in order to reliably predict human visual detection in natural medical image backgrounds.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Miguel P. Eckstein, Albert J. Ahumada Jr., Andrew B. Watson, and James Stuart Whiting "What is degrading human visual detection peformance in natural medical image backgrounds?", Proc. SPIE 3036, Medical Imaging 1997: Image Perception, (16 April 1997); https://doi.org/10.1117/12.271311
PROCEEDINGS
14 PAGES


SHARE
Advertisement
Advertisement
Back to Top