Feature-extraction method based on the ideal observer

Hongbin Zhang, Eric Clarkson, Harrison H. Barrett

Research output: Contribution to journalArticlepeer-review


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 languageEnglish (US)
Pages (from-to)440-447
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
Issue number1
StatePublished - Jul 3 2001


  • 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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