Possibilistic image processing

Mark J. Wierman

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

Abstract

There are many methods of processing a digitized image. Some are local, such as edge finding, and some are global, such as contrast enhancement. There are frequency domain methods (using the Fourier transform) and spatial domain methods that process the direct values. Among all these methods, the maximum entropy (ME) method claims to do the best job, though sometimes at a computationally high burden. Adaptive Kalman filters are claimed to be as good as ME and computationally more attractive. Outside the analytic world, neural networks and fuzzy set theory have been applied with remarkable results. This paper presents a new methodology based on possibility theory that is in some ways analogous to the ME method of probability theory.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
EditorsDavid P. Casasent
PublisherPubl by Int Soc for Optical Engineering
Pages446-456
Number of pages11
ISBN (Print)0819407445
StatePublished - Jan 1 1992
EventIntelligent Robots and Computer Vision X: Algorithms and Techniques - Boston, MA, USA
Duration: Nov 11 1991Nov 13 1991

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume1607
ISSN (Print)0277-786X

Other

OtherIntelligent Robots and Computer Vision X: Algorithms and Techniques
CityBoston, MA, USA
Period11/11/9111/13/91

All Science Journal Classification (ASJC) codes

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

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  • Cite this

    Wierman, M. J. (1992). Possibilistic image processing. In D. P. Casasent (Ed.), Proceedings of SPIE - The International Society for Optical Engineering (pp. 446-456). (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 1607). Publ by Int Soc for Optical Engineering.