The exploration and processing of images is a vital aspect of the scientific workflows of many X-ray imaging modalities. Users require tools that combine interactivity, versatility, and performance. scikit-image is an open-source image processing toolkit for the Python language that supports a large variety of file formats and is compatible with 2D and 3D images. The toolkit exposes a simple programming interface, with thematic modules grouping functions according to their purpose, such as image restoration, segmentation, and measurements. scikit-image users benefit from a rich scientific Python ecosystem that contains many powerful libraries for tasks such as visualization or machine learning. scikit-image combines a gentle learning curve, versatile image processing capabilities, and the scalable performance required for the high-throughput analysis of X-ray imaging data.

中文翻译：

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使用Python和scikit-image库分析显微断层扫描数据。

图像的探索和处理是许多X射线成像模式的科学工作流程的重要方面。用户需要结合了交互性，多功能性和性能的工具。scikit-image是适用于Python语言的开源图像处理工具包，支持多种文件格式，并与2D和3D图像兼容。该工具包提供了一个简单的编程界面，其中的主题模块根据其用途将功能分组，例如图像恢复，分割和测量。scikit-image用户受益于丰富的科学Python生态系统，该生态系统包含许多功能强大的库，可用于可视化或机器学习等任务。scikit-image结合了柔和的学习曲线，多功能的图像处理功能，