Research Article
Pattern Formation in Networks Inspired by Biological Development
@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
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.
