最亮的路径跟踪:一个Python包,可以在2D和3D图像中跟踪最亮的路径.
Vasudha Jha1,2,3, Robert H Cudmore3
1Department of Computer Science, University of California, Davis, CA, USA.
bioRxiv : the preprint server for biology
|July 28, 2023
概括
一个新的Python包,brightest-path-lib,有效地在2D或3D图像中找到最亮的路径. 这个工具有助于生物学,地理和地质学研究人员进行结构追踪.
科学领域:
- 图像处理 图像处理
- 计算生物学 计算生物学
- 地理空间分析是什么
背景情况:
- 在各种科学领域中,最明亮的路径跟踪至关重要.
- 现有的Python库缺乏这个算法的直接实现.
- 在2D/3D图像中有效地追踪结构是一个常见的挑战.
结论:
- "最明亮的路径"提供了一个有价值的,准备好用于科学图像分析的工具.
- 方便在各个学科中有效地追踪结构.
- 可扩展的设计支持图像处理中的多种应用.
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