Arts and Technology. First International Conference, ArtsIT 2009, Yi-Lan, Taiwan, September 24-25, 2009, Revised Selected Papers

Research Article

Pattern Formation in Networks Inspired by Biological Development

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  • @INPROCEEDINGS{10.1007/978-3-642-11577-6_9,
        author={Kei Ohnishi and Kaori Yoshida and Mario K\o{}ppen},
        title={ Pattern Formation in Networks Inspired by Biological Development},
        proceedings={Arts and Technology. First International Conference, ArtsIT 2009, Yi-Lan, Taiwan, September 24-25, 2009, Revised Selected Papers},
        proceedings_a={ARTSIT},
        year={2012},
        month={5},
        keywords={Biological development pattern formation feedback system image generation network topology},
        doi={10.1007/978-3-642-11577-6_9}
    }
    
  • Kei Ohnishi
    Kaori Yoshida
    Mario Köppen
    Year: 2012
    Pattern Formation in Networks Inspired by Biological Development
    ARTSIT
    Springer
    DOI: 10.1007/978-3-642-11577-6_9
Kei Ohnishi1,*, Kaori Yoshida1,*, Mario Köppen1,*
  • 1: Kyushu Institute of Technology
*Contact email: ohnishi@cse.kyutech.ac.jp, kaori@ai.kyutech.ac.jp, mario@ndrc.kyutech.ac.jp

Abstract

We present a system for pattern formation in networks that is inspired by biological development. The system hierarchically forms a specific pattern in a rough-to-detail manner as seen in biological development. We apply the system to generating gray-scaled images. In this application, a network topology is first generated from a given original image in which pixels correspond to network nodes and the nodes are linked to one another in a certain way, and then the system is run in the generated network. The pattern formed by the system within the network is a distribution of brightness of pixels which are equal to nodes. The system is shown to create a variety of images which are influenced by the structure in the original image in a rough-to-detail manner. This feature would be useful for designing patterns under some structural constraints.