Feature-extraction method based on the ideal observer

Hongbin Zhang; Eric Clarkson; Harrison H. Barrett

doi:10.1117/12.431116

Feature-extraction method based on the ideal observer

Hongbin Zhang, Eric Clarkson, Harrison H. Barrett

Medical Imaging

Research output: Contribution to journal › Article › peer-review

Abstract

We discuss the design of feature extraction methods based on the strategy of the ideal observer. We restrict our discussion to a binary hypothesis-testing task where the observer has to decide whether a signal is added onto a nonuniform background.

Original language	English (US)
Pages (from-to)	440-447
Number of pages	8
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	4322
Issue number	1
DOIs	https://doi.org/10.1117/12.431116
State	Published - Jul 3 2001

Keywords

Feature extraction
Ideal observer
Neural network

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

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10.1117/12.431116

Cite this

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title = "Feature-extraction method based on the ideal observer",

abstract = "We discuss the design of feature extraction methods based on the strategy of the ideal observer. We restrict our discussion to a binary hypothesis-testing task where the observer has to decide whether a signal is added onto a nonuniform background.",

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author = "Hongbin Zhang and Eric Clarkson and Barrett, {Harrison H.}",

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Feature-extraction method based on the ideal observer

Abstract

Keywords

ASJC Scopus subject areas

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