• DocumentCode
    2223611
  • Title

    Artistic image processing with cellular automata and evolutionary algorithms

  • Author

    Tseng, Hsuan-wen ; Chen, Ying-ping

  • Author_Institution
    Department of Computer Science, National Chiao Tung University, HsinChu City, Taiwan
  • fYear
    2015
  • fDate
    25-28 May 2015
  • Firstpage
    2153
  • Lastpage
    2159
  • Abstract
    Scientists and artists have been dedicate themselves to combine science and art together for decades, especially in the realm of computer science and digital technology. Nowadays, there are commercial software packages providing artistic image effect filters and processors. These functionalities are usually designed for certain specific purposes, such as blur, sketch, and the like. In this study, we make our attempt to develop a mechanism which is able to generate many different kinds of artistic effects, many of which are probably difficult to describe. The proposed mechanism combines cellular automata and pixel painting to process a given image with the involvement of an evolutionary algorithm. Interesting and/or unexpected results are obtained via the use of the evolutionary algorithm on the objective functions presented in this paper.
  • Keywords
    Art; Automata; Evolutionary computation; Genetic algorithms; Image color analysis; Linear programming; Painting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2015 IEEE Congress on
  • Conference_Location
    Sendai, Japan
  • Type

    conf

  • DOI
    10.1109/CEC.2015.7257150
  • Filename
    7257150