Analyzing microtomography data with Python']Python and the scikit-image library

被引:23
|
作者
Gouillart, Emmanuelle [1 ]
Nunez-Iglesias, Juan [2 ]
van der Walt, Stefan [3 ]
机构
[1] St Gobain, CNRS, UMR 125, Surface Verre & Interfaces, F-93303 Aubervilliers, France
[2] Univ Melbourne, Victorian Life Sci Computat Initiat, Carlton, Vic, Australia
[3] Stellenbosch Univ, Div Appl Math, Stellenbosch, South Africa
来源
ADVANCED STRUCTURAL AND CHEMICAL IMAGING | 2016年 / 2卷
关键词
Scikit-image; !text type='Python']Python[!/text; Image processing library; 3D image;
D O I
10.1186/s40679-016-0031-0
中图分类号
TH742 [显微镜];
学科分类号
摘要
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.
引用
收藏
页数:11
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