Two-dimensional patterns and images reconstruction with use of cellular automata

被引:4
作者
Skaruz, Jaroslaw [1 ]
Seredynski, Franciszek [2 ]
Piwonska, Anna [3 ]
机构
[1] Siedlce Univ Nat Sci & Humanities, Inst Comp Sci, PL-08110 Siedlce, Poland
[2] Cardinal Stefan Wyszynski Univ Warsaw, Dept Math & Nat Sci, PL-01938 Warsaw, Poland
[3] European Higher Sch Informat Technol & Econ, PL-03741 Warsaw, Poland
关键词
Pattern and image reconstruction; Cellular automata; Genetic algorithms; RULES;
D O I
10.1007/s11227-014-1214-x
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
An approach based on an application of cellular automata (CA) to the problem of two-dimensional (2D) patterns or images reconstruction from ones with only partial information available is presented in the paper. 2D CA are used to process patterns/images, and genetic algorithm (GA) is applied to discover CA rules, which will be able to reconstruct original patterns/images from, e.g. destroyed or modified ones. A number of experiments have been conducted to reconstruct patterns and human face images with use of the proposed approach. Results of experiments show that CA rules discovered by GA in the learning process allow to reconstruct images with large number of damaged pixels.
引用
收藏
页码:9 / 16
页数:8
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