Vispol: Open-source software modules for polarimetric imaging visualizations

Andrew W. Kruse
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Abstract

Recent research in developing methods for visualizing polarimetric images are implemented in Python modules now available in public repository. In addition to implementing the set of current visualization typically used for polarimetric imaging, the recently developed methods that are implemented involve depicting polarimetric variables using color coordinates from a uniform color space. These methods can be used both linear and circular polarization, and can be used to depict one, two, or three polarimetric variables in a single image. Collaboration on Github is encouraged for implementing new ideas as well as translating the modules into other programming languages.
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用于偏振成像可视化的开源软件模块
最近在开发可视化偏振图像方法方面的研究是在Python模块中实现的,现在可以在公共存储库中获得。除了实现当前用于偏振成像的典型可视化集之外,最近开发的实现方法涉及使用统一色彩空间中的颜色坐标来描绘偏振变量。这些方法可以使用线性和圆偏振,并可以用来描绘一个,两个,或三个偏振变量在一个单一的图像。鼓励在Github上进行协作,以实现新的想法,并将模块翻译成其他编程语言。
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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