SimpleITK is an image analysis toolkit with a large number of components supporting general filtering operations, image segmentation and registration.
It is built on top of the Insight Segmentation and Registration Toolkit ITK with the intent of providing a simplified interface to ITK.
This is free and open source software.
Features include:
- Multi-dimensional image analysis in Python, R, Java, C#, Lua, Ruby, TCL and C++.
- Supports 2D, 3D and 4D images.
- Supports more than 15 different image file formats.
- Registration framework for fast alignment of 2D and 3D intra and inter-modality images using rigid or deformable transformations.
- Filters for image segmentation workflows, from classics such as Otsu thresholding to level sets and watersheds. It provides over 280 image analysis filters.
- Tools for evaluating segmentation results (Hausdorff distance, Jaccard and Dice values, surface distances etc.) and analyze the segmented shape characteristics (oriented bounding box, principal moments, perimeter, elongation, Feret diameter etc.).
- Image file I/O that support more than 20 image file formats (jpg, png, DICOM, TIFF, etc.) with easy conversion between formats.
- Readily integrated into parallel processing frameworks on clusters or on desktops via process and thread based parallelization.
Website: simpleitk.org
Support: GitHub Code Repository
Developer: Insight Software Consortium
License: Apache License 2.0
SimpleITK is written in C++. Learn C++ with our recommended free books and free tutorials.
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