Generation of Cell-Like Images Using Euclidean Distance from Edge

Authors
Toru Hiraoka*, Kohei Maeda
Department of Information Systems, University of Nagasaki, 1-1-1, Manabino, Nagayo-chou, Nishisonogi-gun, Nagasaki-ken 851-2195, Japan
*Corresponding author. Email: [email protected]
Corresponding Author
Toru Hiraoka
Received 6 November 2020, Accepted 8 March 2021, Available Online 27 May 2021.
DOI
https://doi.org/10.2991/jrnal.k.210521.004
Keywords
Non-photorealistic rendering; cell; Euclidean distance; edge; clarification; automatic generation
Abstract
A non-photorealistic rendering method has been proposed to generate cell-like images in which cell-like patterns are represented in photographic images. Cell-like patterns are automatically generated by the change of density of photographic images. However, cell-like patterns are irregularly arranged. In this paper, we propose a method to arrange cell-like patterns along the edges of photographic images. In addition, our method can express cell membrane and cell nucleus in cell-like patterns more clearly than the conventional method. We improves the conventional method by using Euclidean distance from the edges. We show that appealing cell-like images can be generated by our method through experiments using various photographic images.
Copyright
© 2021 The Authors. Published by ALife Robotics Corp. Ltd.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license (http://creativecommons.org/licenses/by-nc/4.0/).

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