Predicting human performance by a channelized Hotelling observer model

Jie Yao; Harrison H. Barrett

doi:10.1117/12.130899

9 December 1992 Predicting human performance by a channelized Hotelling observer model

Jie Yao, Harrison H. Barrett

Proceedings Volume 1768, Mathematical Methods in Medical Imaging; (1992) https://doi.org/10.1117/12.130899
Event: San Diego '92, 1992, San Diego, CA, United States

Abstract

A psychophysical experiment was conducted to measure the performance of human observers in detecting an exactly known signal against a random, nonuniform background in the presence of noise correlations introduced by post-detection filtering (postprocessing). In order to predict this human performance, a new model observer was synthesized by adding frequency-selective channels to the Hotelling observer model which we have previously used for assessment of image quality. This new `channelized' Hotelling model reduces approximately to a nonprewhitening (NPW) observer for images with uniform background and correlated noise introduced by filtering, and to a Hotelling observer for images with nonuniform background and no postprocessing. For images with both background nonuniformity and post processing, the performance of this channelized Hotelling observer agrees well with human performance while the other two observer models (NPW and Hotelling observer) fail.

Citation Download Citation

Jie Yao and Harrison H. Barrett "Predicting human performance by a channelized Hotelling observer model", Proc. SPIE 1768, Mathematical Methods in Medical Imaging, (9 December 1992); https://doi.org/10.1117/12.130899

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available