Digital optics, optical computing and neural-like networks

L. P. Yaroslavsky*

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review


The main tasks and basic algorithmic tools for digital processing of optical and similar 2D and 3D signals are outlined with emphasis on design problems of optical computers and neural-like networks. The most important basic operations of rank transformations are identified. Typical examples of rank transformations are smoothing algorithms, algorithms for local contrast enhancement, and algorithms for edge extraction.

Original languageEnglish
Pages (from-to)355-360
Number of pages6
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 1990
Externally publishedYes
Event1990 International Topical Meeting on Optical Computing - OC '90 - Kobe, Jpn
Duration: 8 Apr 199012 Apr 1990


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