Pseudo-random numbers, evolutionary models in image processing and biology and nonlinear dynamic systems

Leonid P. Yaroslavsky*

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

2 Scopus citations

Abstract

We show that one can treat pseudo-random number generators, evolutionary models of texture images, iterative local adaptive filters for image restoration and enhancement and growth models in biology and material sciences in a unified way as special cases of dynamic systems with a nonlinear feedback.

Original languageEnglish
Pages (from-to)46-55
Number of pages10
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume2824
DOIs
StatePublished - 11 Nov 1996
EventAdaptive Computing: Mathematical and Physical Methods for Complex Environments 1996 - Denver, United States
Duration: 4 Aug 19969 Aug 1996

Keywords

  • Evolutionary models
  • Image processing
  • Pseudo-random numbers, nonlinear dynamic system

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