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Texture Synthesis with Tandem Genetic Algorithms using Nonparametric Partially
 

Summary: Texture Synthesis with Tandem Genetic
Algorithms using Nonparametric Partially
Ordered Markov Models.
Dan Ashlock1
and Jennifer Davidson2
1
Iowa State University, Department of Mathematics
Ames, Iowa, 50010
danwell@iastate.edu
2
Iowa State University, Department of Electrical Engineering
Ames, Iowa, 50010
davidson@iastate.edu
Abstract. In this paper we describe a solution to the problem of
synthesizing textures. We use a pair of genetic algorithms to cre-
ate fast one-pass generating algorithms for five black-and-white
textures. This is done using only examples of those textures as
input. The key to success is the use of a pair of genetic algorithms
and a special structure called a foot pattern. The first genetic al-
gorithm locates a foot pattern, a set of pixel location containing

  

Source: Ashlock, Dan - Department of Mathematics and Statistics, University of Guelph

 

Collections: Mathematics