Generation of Cell-Like Images Using Euclidean Distance from Edge

被引:0
|
作者
Hiraoka, Toru [1 ]
Maeda, Kohei [1 ]
机构
[1] Univ Nagasaki, Dept Informat Syst, 1-1-1 Manabino, Nagoya, Nagasaki 8512195, Japan
来源
JOURNAL OF ROBOTICS NETWORKING AND ARTIFICIAL LIFE | 2021年 / 8卷 / 01期
关键词
Non-photorealistic rendering; cell; Euclidean distance; edge; clarification; automatic generation;
D O I
10.2991/jrnal.k.210521.004
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
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. (C) 2021 The Authors. Published by Atlantis Press B.V.
引用
收藏
页码:14 / 17
页数:4
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