This is an old revision of this page, as edited by Geysirhead (talk | contribs) at 16:11, 2 January 2025 (←Created page with ''''Evolutionary image processing''' (EIP) is a sub-area of digital image processing.<ref>{{cite book |title=Proceedings / 22. Workshop Computational Intelligence: Dortmund, 6 - 7. Dezember 2012 |date=2012 |publisher=KIT Scientific Publishing |location=Karlsruhe |isbn=9783866449176}}</ref> Evolutionary algorithms (EA) are used to optimize and solve various image processing problems. Evolutionary image processing thus represents the combination of evo...'). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision.
Revision as of 16:11, 2 January 2025 by Geysirhead (talk | contribs) (←Created page with ''''Evolutionary image processing''' (EIP) is a sub-area of digital image processing.<ref>{{cite book |title=Proceedings / 22. Workshop Computational Intelligence: Dortmund, 6 - 7. Dezember 2012 |date=2012 |publisher=KIT Scientific Publishing |location=Karlsruhe |isbn=9783866449176}}</ref> Evolutionary algorithms (EA) are used to optimize and solve various image processing problems. Evolutionary image processing thus represents the combination of evo...')(diff) ← Previous revision | Latest revision (diff) | Newer revision → (diff)Evolutionary image processing (EIP) is a sub-area of digital image processing. Evolutionary algorithms (EA) are used to optimize and solve various image processing problems. Evolutionary image processing thus represents the combination of evolutionary optimization and digital image processing. EAs have been used for several decades in computer science to optimize various problems. The application in image processing, on the other hand, is still a relatively new field of research. This is primarily due to the technological development of computer systems, as EB is a relatively computationally intensive process.
References
- Proceedings / 22. Workshop Computational Intelligence: Dortmund, 6 - 7. Dezember 2012. Karlsruhe: KIT Scientific Publishing. 2012. ISBN 9783866449176.