Performance of a channelized-ideal observer using Laguerre-Gauss channels for detecting a Gaussian signal at a known location in different lumpy backgrounds

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

The Bayesian ideal observer gives a measure for image quality since it uses all available statistical information for a given image data. A channelized-ideal observer (CIO), which reduces the dimensionality of integrals that need to be calculated for the ideal observer, has been introduced in the past. The goal of the CIO is to approximate the performance of the ideal observer in certain detection tasks. In this work, a CIO using Laguerre-Gauss (LG) channels is employed for detecting a rotationally symmetric Gaussian signal at a known location in the non-Gaussian distributed lumpy background. The mean number of lumps in the lumpy background is varied to see the impact of image statistics on the performance of this CIO and a channelized-Hotelling observer (CHO) using the same channels. The width parameter of LG channels is also varied to see its impact on observer performance. A Markov-chain Monte Carlo (MCMC) method is employed to determine the performance of the CIO using large numbers of LG channels. Simulation results show that the CIO is a better observer than the CHO for the task. The results also indicate that the performance of the CIO approaches that of the ideal observer as the mean number of lumps in the lumpy background decreases. This implies that LG channels may be efficient for the CIO to approximate the performance of the ideal observer in tasks using non-Gaussian distributed lumpy backgrounds.

Original languageEnglish (US)
Title of host publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume6146
DOIs
StatePublished - 2006
EventMedical Imaging 2006: Image Perception, Observer Performance, and Technology Assessment - San Diego, CA, United States
Duration: Feb 14 2006Feb 16 2006

Other

OtherMedical Imaging 2006: Image Perception, Observer Performance, and Technology Assessment
CountryUnited States
CitySan Diego, CA
Period2/14/062/16/06

Fingerprint

Markov processes
Image quality
Monte Carlo methods
Statistics

Keywords

  • Channelized nonlinear-ideal observers
  • Laguerre-Gauss channels
  • Non-Gaussian distributed lumpy backgrounds
  • Nonlinear ideal observers

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Performance of a channelized-ideal observer using Laguerre-Gauss channels for detecting a Gaussian signal at a known location in different lumpy backgrounds. / Park, Subok; Clarkson, Eric W; Barrett, Harrison H; Kupinski, Matthew A; Myers, Kyle J.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 6146 2006. 61460P.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Park, S, Clarkson, EW, Barrett, HH, Kupinski, MA & Myers, KJ 2006, Performance of a channelized-ideal observer using Laguerre-Gauss channels for detecting a Gaussian signal at a known location in different lumpy backgrounds. in Progress in Biomedical Optics and Imaging - Proceedings of SPIE. vol. 6146, 61460P, Medical Imaging 2006: Image Perception, Observer Performance, and Technology Assessment, San Diego, CA, United States, 2/14/06. https://doi.org/10.1117/12.653931
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