{"title":"Images Reconstruction with Use of a Genetic Algorithm","authors":"A. Piwonska, Urszula Grycuk","doi":"10.1109/CISIM.2007.41","DOIUrl":null,"url":null,"abstract":"In this paper we investigate the task of images reconstruction with use of a genetic algorithm (GA). We consider two kinds of images: colored and black- and-white. Each kind of images requires different coding for a GA. In the case of colored images we base on the RGB color model. When black-and-white images are considered, we use binary coding. A genetic algorithm evolves an initial randomly generated population of individuals (images). The aim of a GA is to find a solution as similar to a reconstructed image as possible. We show results of computer experiments and formulate conclusions arising from them.","PeriodicalId":350490,"journal":{"name":"6th International Conference on Computer Information Systems and Industrial Management Applications (CISIM'07)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"6th International Conference on Computer Information Systems and Industrial Management Applications (CISIM'07)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CISIM.2007.41","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
In this paper we investigate the task of images reconstruction with use of a genetic algorithm (GA). We consider two kinds of images: colored and black- and-white. Each kind of images requires different coding for a GA. In the case of colored images we base on the RGB color model. When black-and-white images are considered, we use binary coding. A genetic algorithm evolves an initial randomly generated population of individuals (images). The aim of a GA is to find a solution as similar to a reconstructed image as possible. We show results of computer experiments and formulate conclusions arising from them.
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