Analyzing microtomography data with Python and the scikit image library
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.
Advanced Structural and Chemical Imaging