Channelized-ideal observer using Laguerre-Gauss channels in detection tasks involving non-Gaussian distributed lumpy backgrounds and a Gaussian signal

Journal of the Optical Society of America A: Optics and Image Science, and Vision

Volumn 24, Issue 12, 2007, Pages

  Park, Subok ^a   Barrett, Harrison H ^b   Clarkson, Eric ^b   Kupinski, Matthew A ^b   Myers, Kyle J ^a  

^a NATIONAL INSTITUTE OF BIOMEDICAL IMAGING AND BIOENGINEERING   (United States)

^b UNIVERSITY OF ARIZONA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CHANNEL ESTIMATION; COMPUTATIONAL METHODS; GAUSSIAN DISTRIBUTION; MARKOV PROCESSES; MONTE CARLO METHODS;

CHANNELIZED-IDEAL OBSERVER; LAGUERRE-GAUSS CHANNELS;

SIGNAL DETECTION;

ALGORITHM; AREA UNDER THE CURVE; ARTICLE; ARTIFACT; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CLUSTER ANALYSIS; COMPUTER SIMULATION; MONTE CARLO METHOD; NORMAL DISTRIBUTION; PROBABILITY; ROC CURVE; SIGNAL PROCESSING; STATISTICAL MODEL; STATISTICS;

ALGORITHMS; AREA UNDER CURVE; ARTIFACTS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; COMPUTER SIMULATION; MARKOV CHAINS; MODELS, STATISTICAL; MONTE CARLO METHOD; NORMAL DISTRIBUTION; PATTERN RECOGNITION, AUTOMATED; ROC CURVE; SIGNAL PROCESSING, COMPUTER-ASSISTED;

EID: 40149089855     PISSN: 10847529     EISSN: None     Source Type: Journal    
DOI: 10.1364/JOSAA.24.00B136     Document Type: Article

References (19)