Developer(s) | Christoph Sommer, Christoph Straehle, Thorben Kröger, Bernhard X. Kausler, Ullrich Koethe, Fred A. Hamprecht, Anna Kreshuk and others |
---|---|
Initial release | 2011 |
Stable release | 1.4.0
/ November 10, 2023 |
Repository | |
Operating system | Any ( Python based) |
Type | Image processing & Computer vision & Machine Learning |
License | GPL2 |
Website |
www |
ilastik [1] is a user-friendly free open source software for image classification and segmentation. No previous experience in image processing is required to run the software. Since 2018 ilastik is further developed and maintaned by Anna Kreshuk's group at European Molecular Biology Laboratory.
ilastik allows user to annotate an arbitrary number of classes in images with a mouse interface. Using these user annotations and the generic ( nonlinear[ disambiguation needed]) image features, the user can train a random forest classifier. Trained ilastik classifiers can be applied new data not included in the training set in ilastik via it's batch processing functionality [2], or without using the graphical user interface, in headless mode [3]. Furthermore, ilastik can be integrated into various related tools:
ilastik was first released in 2011 by scientists at the Heidelberg Collaboratory for Image Processing (HCI), University of Heidelberg.
ilastik project is hosted on GitHub. It is a collaborative project, any contributions such as comments, bug reports, bug fixes or code contributions are welcome. The ilastik team can be contacted for user support on the image.sc forum.
Developer(s) | Christoph Sommer, Christoph Straehle, Thorben Kröger, Bernhard X. Kausler, Ullrich Koethe, Fred A. Hamprecht, Anna Kreshuk and others |
---|---|
Initial release | 2011 |
Stable release | 1.4.0
/ November 10, 2023 |
Repository | |
Operating system | Any ( Python based) |
Type | Image processing & Computer vision & Machine Learning |
License | GPL2 |
Website |
www |
ilastik [1] is a user-friendly free open source software for image classification and segmentation. No previous experience in image processing is required to run the software. Since 2018 ilastik is further developed and maintaned by Anna Kreshuk's group at European Molecular Biology Laboratory.
ilastik allows user to annotate an arbitrary number of classes in images with a mouse interface. Using these user annotations and the generic ( nonlinear[ disambiguation needed]) image features, the user can train a random forest classifier. Trained ilastik classifiers can be applied new data not included in the training set in ilastik via it's batch processing functionality [2], or without using the graphical user interface, in headless mode [3]. Furthermore, ilastik can be integrated into various related tools:
ilastik was first released in 2011 by scientists at the Heidelberg Collaboratory for Image Processing (HCI), University of Heidelberg.
ilastik project is hosted on GitHub. It is a collaborative project, any contributions such as comments, bug reports, bug fixes or code contributions are welcome. The ilastik team can be contacted for user support on the image.sc forum.