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Evaluation of a genetic algorithm based image approximation method

Vakulya, Gergely
Petőné, Csuka Ildikó
2026-10-01T11:59:22Z
2026-10-01T11:59:22Z
2021
http://hdl.handle.net/20.500.14044/40611
In this paper a genetic algorithm (GA) based image approximation algorithm is presented for black and white images. The approximation uses a limited amount of triangles, where the GA is used to optimize their shape and position. The formal definitions, implementation details and test results are provided. The algorithm can produce recognizable approximations in less than 139 bytes.hu_HU
In this paper a genetic algorithm (GA) based image approximation algorithm is presented for black and white images. The approximation uses a limited amount of triangles, where the GA is used to optimize their shape and position. The formal definitions, implementation details and test results are provided. The algorithm can produce recognizable approximations in less than 139 bytes.hu_HU
dc.formatpdfhu_HU
enhu_HU
Evaluation of a genetic algorithm based image approximation methodhu_HU
Open accesshu_HU
Óbudai Egyetemhu_HU
2021. November 11.hu_HU
Székesfehérvárhu_HU
Alba Regia Műszaki Karhu_HU
Óbudai Egyetemhu_HU
Műszaki tudományok - gépészeti tudományokhu_HU
genetic algorithmhu_HU
image approximationhu_HU
fast algorithmhu_HU
Konferenciaközleményhu_HU
AIS 2021 16th International Symposium on Applied Informatics and Related Areas Proceedingshu_HU
local.tempfieldCollectionsKönyvrészletekhu_HU
3.hu_HU
Kiadói változathu_HU
4 p.hu_HU
AIS 2021 16th International Symposium on Applied Informatics and Related Areashu_HU
978-963-449-263-4hu_HU
2021hu_HU
Óbudai Egyetemhu_HU
Székesfehérvárhu_HU


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