- author = "Vojtech Salajka",
- title = "Polymorphic Image Filters",
- journal = "Information Sciences and Technologies: Bulletin of the ACM Slovakia",
- year = "2012",
- volume = "4",
- number = "4",
- pages = "53--54",
- month = dec,
- note = "Special Section on the ACM Student Project of the Year 2012 Competition",
- keywords = "genetic algorithms, genetic programming, GPU, OpenCL, shader, polymorphic circuits, cartesian genetic programming, image filters, evolutionary design",
- bibsource = "OAI-PMH server at citeseerx.ist.psu.edu",
- language = "en",
- oai = "oai:CiteSeerX.psu:10.1.1.295.4183",
- ISSN = "1338-6654",
-
URL = "
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.295.4183",
-
URL = "
http://acmbulletin.fiit.stuba.sk/vol4num4/salajka.pdf",
- size = "2 pages",
- abstract = "This paper deals with evolutionary design of a special type of image filters -- polymorphic image filters. The proposed solution extends an approach for designing conventional image filters which uses Cartesian Genetic Programming. A method for accelerating the fitness function on GPU is described. We evolved polymorphic image filters capable of suppressing different combinations of noise and performing edge detection.",
-
notes = "two filters. pop=5 40000 generations. 16 test 512x512
images. Gaussian noise
removal.
http://acmbulletin.fiit.stuba.sk/
Registration number: MK SR EV 3929/09 Editorial office: IST Bulletin, FIIT STU, Ilkovicova 3, 842 16 Bratislava, Slovakia.
Publisher: STU Press, Vazovova 5, 812 43 Bratislava, Slovakia.",
