Generation of Cell-Like Images Using Euclidean Distance from Edge
Generation of Cell-Like Images Using Euclidean Distance from Edge
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DOI：
10.2991/jrnal.k.210521.004
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发表时间：
2021
期刊：
影响因子：
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通讯作者：
T. Hiraoka;K. Maeda
中科院分区：
文献类型：
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作者：
T. Hiraoka;K. Maeda
已经提出了一种非真实感绘制方法来生成细胞状图像，其中细胞状图案在摄影图像中表示。细胞样图案是通过改变摄影图像的密度而自动生成的。然而，细胞样图案是不规则排列的。在本文中，我们提出了一种方法来安排细胞状图案沿着边缘的摄影图像。此外，我们的方法可以表达细胞膜和细胞核的细胞样模式比传统的方法更清楚。我们改进了传统的方法，使用欧氏距离的边缘。我们表明，有吸引力的细胞样图像可以通过我们的方法，通过实验使用各种摄影图像生成
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