Evolutionary image processing: Difference between revisions

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'''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 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 EBEIP is a relatively computationally intensive process. '''Evolutionary computer vision''' (ECV) is an application of EIP for computer vision.<ref>{{cite journal |last1=Ebner |first1=Marc |title=Evolving Object Detectors with a GPU Accelerated Vision System |journal=Evolvable Systems: From Biology to Hardware |date=2010 |pages=109–120 |doi=10.1007/978-3-642-15323-5_10 |url=https://link.springer.com/chapter/10.1007/978-3-642-15323-5_10 |publisher=Springer |language=en}}</ref> It has been shown that [[genetic programming]] (GP) as a subclass of EAs is particularly useful for image processing.

==Genetic programming for image processing==