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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 are happy to announce a new ilastik release, based on Python3 and Qt5! Detailed release notes can be found here, in short, it's much better, go ahead and try! The GUI is faster, the tracking does not need CPLEX, we have new export formats, and much more.
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!