Analyzing microtomography data with Python and the scikit-image library

Emmanuelle Gouillart (1) , Juan Nunez-Iglesias (2) , Stéfan van Der Walt (3)

1 SVI - Surface du Verre et Interfaces
2 University of Melbourne
3 Stellenbosch University

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 2-D and 3-D 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.

Mots clés: scikit-image; Python; image processing library; 3-D image

Domaines: Traitement des images [eess.IV]

Emmanuelle Gouillart, Juan Nunez-Iglesias, Stéfan van Der Walt. Analyzing microtomography data with Python and the scikit-image library. Advanced Structural and Chemical Imaging, 2017, 2, pp.18. ⟨10.1186/s40679-016-0031-0⟩. ⟨hal-01448271⟩