Data visualization

Data visualization takes an important place in image processing. Data can be a simple unique 2D image or a more complex with multidimensional aspects: 3D in space, timeslapse, multiple channels.

Therefore, the visualization strategy will depend on the data complexity and a range of tools external to scikit-image can be used for this purpose. Historically, scikit-image provided viewer tools but powerful packages are now available and must be preferred.

Matplotlib

Matplotlib is a library able to generate static plots, which includes image visualization.

Plotly

Plotly is a plotting library relying on web technologies with interaction capabilities.

Mayavi

Mayavi can be used to visualize 3D images.

Napari

Napari is a multi-dimensional image viewer. It’s designed for browsing, annotating, and analyzing large multi-dimensional images.

© 2019 the scikit-image team
Licensed under the BSD 3-clause License.
https://scikit-image.org/docs/0.18.x/user_guide/visualization.html