Image Triangulation Using the Sobel Operator for Vertex Selection

Olivia Laske, Lori Ziegelmeier
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Abstract

Image triangulation, the practice of decomposing images into triangles, deliberately employs simplification to create an abstracted representation. While triangulating an image is a relatively simple process, difficulties arise when determining which vertices produce recognizable and visually pleasing output images. With the goal of producing art, we discuss an image triangulation algorithm in Python that utilizes Sobel edge detection and point cloud sparsification to determine final vertices for a triangulation, resulting in the creation of artistic triangulated compositions.
使用 Sobel 运算符选择顶点的图像三角剖分法
图像三角剖分是将图像分解成三角形的一种做法,它有意采用简化的方法来创建抽象的表示形式。虽然图像三角剖分是一个相对简单的过程,但在确定哪些顶点能生成可识别且视觉上悦目的输出图像时却会遇到困难。为了制作艺术作品,我们讨论了 Python 中的一种图像三角剖分算法,该算法利用索贝尔边缘检测和点云稀疏化来确定三角剖分的最终顶点,从而创作出具有艺术性的三角剖分作品。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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