Documentation


We are currently in the process of recording these videos for the final release of v0.5. See below for legacy documentation.




ilastik in a nutshell    ( ⇑ )

This video shows an overview over classification, interactive segmentation, visualization, preview of v0.6.




2D classification and batch mode    ( ⇑ )

This video shows how to use interactive machine learning to discriminate a few classes, and how to use the resulting classifier in batch mode. This is useful for automatically processing a very large number of images.




3D classification    ( ⇑ )

This video shows how to use interactive machine learning in three dimensions, and how to automatically make predictions for large 3D volumes.



Seeded watershed segmentation    ( ⇑ )

This video shows how the biased seeded watershed can be used to interactively segment 3D images.



Introduction to classification    ( ⇑ )

This video introduces the main concepts of classification in ilastik 0.5. It covers pixel-level classification, introduces features, and discusses some limitations of classification in version 0.5.



Color features    ( ⇑ )

This video covers the color feature group in ilastik 0.5.



Edge features    ( ⇑ )

This video covers the edge feature group in Ilastik 0.5.



Orientation features    ( ⇑ )

This video covers the orientation feature group in ilastik 0.5.


Legacy videos are also available here or on our youtube channel.