ilastik is a simple, user-friendly tool for interactive image classification, segmentation and analysis. It is built as a modular software framework, which currently has workflows for automated (supervised) pixel- and object-level classification, automated and semi-automated object tracking, semi-automated segmentation and object counting without detection. Most analysis operations are performed lazily, which enables targeted interactive processing of data subvolumes, followed by complete volume analysis in offline batch mode. Using it requires no experience in image processing.
Ready-made packages are available for Linux, Mac, and Windows.
ilastik comes with an extensive user manual.
View developer documentation and API docs. Report bugs and request features.
We started doing video tutorials again: Pixel Classification. If you like it, get back to us and we'll do one on your favorite topic!
You can now export your data from FIJI directly into ilastik favorite hdf5 format and, conversely, you can also load ilastik results into FIJI for post-processing. Thanks to the FIJI team for their help and hackathon hospitality!
We are happy to announce a new ilastik release, which includes many bug fixes and new features requested by our users. Detailed release notes can be found here.
Discuss with other users on our mailing lists or contact the friendly ilastik team directly.