Generation of Cell-Like Images Using Euclidean Distance from Edge

DOI

10.2991/jrnal.k.210521.004How to use a DOI?

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 Atlantis Press B.V.

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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TY  - JOUR
AU  - Toru Hiraoka
AU  - Kohei Maeda
PY  - 2021
DA  - 2021/05/27
TI  - Generation of Cell-Like Images Using Euclidean Distance from Edge
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 14
EP  - 17
VL  - 8
IS  - 1
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.k.210521.004
DO  - 10.2991/jrnal.k.210521.004
ID  - Hiraoka2021
ER  -