ITK is an open-source, cross-platform toolkit for N-dimensional scientific image processing, segmentation, and registration. ITK 5. For more […]. Want to work in open source software? Kitware is hiring! For information on other ITK packages and packages for other distributions, see this blog post. First, download and install Git. The toolkit can be installed, but it is not necessary; it can be used directly from its build directory.
Users that have made no local changes and simply want to update a clone with the latest changes may run. Avoid making local changes unless you have read our developer instructions. After cloning, your local repository will be configured to follow the upstream master branch by default.
One may create a local branch to track the upstream release branch instead, which should guarantee only bug fixes to the functionality available in the latest release:. This local branch will always follow the latest release.
The superbuild will download and build all required dependencies. If you are building the documentation and not using superbuild functionality, then you must have all the required dependencies installed, which are listed in the README.
Then, directly run the executable. Alternatively, the ctest command line program that comes with CMake can be used to drive the examples as unit test. ITK is a library limited in scope to image analysis, and it purposely does not attempt to perform image visualization.
Visualizing the results of analysis is possible with a number of third-party applications. Note that these packages are specially suited for medical images, which often have anisotropic spacing and can span three or more dimensions. All applications listed are open source and cross-platform.
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