Welcome to the Insight Toolkit (ITK). ITK is an open-source, cross-platform toolkit for scientific image processing, segmentation, and registration in two, three, or more dimensions.
Segmentation is the process of identifying and classifying data found in a digitally sampled representation. Typically the sampled representation is an image acquired from such medical instrumentation as CT or MRI scanners. Registration is the task of aligning or developing correspondences between data. For example, in the medical environment, a CT scan may be aligned with a MRI scan in order to combine the information contained in both.
ITK was originally created to analyze 3D images from the Visible Human Project. ITK is now widely applied across medical imaging, microscopy, and remote sensing domains. ITK is actively developed by a community of research software engineers from around the world.
The Home Page of the Insight Toolkit can be found at :
This documentation describes the API of the Toolkit. The Modules link presents a hierarchy of classes organized according to their functionality. The Related Pages link presents design details, in particular the use of the data pipeline model and the philosophy of iterators.