Generation of Cell-Like Images Using Euclidean Distance from Edge
- https://doi.org/10.2991/jrnal.k.210521.004How to use a DOI?
- Non-photorealistic rendering, cell, Euclidean distance, edge, clarification, automatic generation
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.
- © 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/).
Cite this article
TY - JOUR AU - Toru Hiraoka AU - Kohei Maeda PY - 2021 DA - 2021/05 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 - https://doi.org/10.2991/jrnal.k.210521.004 ID - Hiraoka2021 ER -