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Insight Segmentation and Registration Toolkit -- Mirror
External module for ITK v4 implementing the Young & Van Vliet recursive gaussian smoothing filter.
An ITK-based implementation of principal components analysis. A more detailed description can be found in the Insight Journal article: Bowers M., Younes L. ''Principal Components Analysis of Scalar, Vector, and Mesh Vertex Data.'' August, 2013.
Approximate an image's gradient from a b-spline fit to its intensity
ITK filters to reduce ring artifacts common in x-ray computed tomography.
Filters for calculating higher order accurate numerical derivatives and gradients.
image processing utilities
ITK routines for erosions/dilations using parabolic structuring functions
External Module for ITK, implementing Isotropic Wavelets and Riesz Filter for multiscale phase analysis.
A template to start an ITK Module
Sources for the ITKSoftwareGuide.
A module for the Insight Toolkit (ITK) that provides a generic, modular, and extensible architecture for lesion sizing algorithms in medical images as well as a reference algorithm for lung solid lesion segmentation in CT images.
Real-world tests to benchmark ITK performance.
Erode and dilate operations on label images
Reconstruction of 3D volumetric dataset from a collection of 2D slices
A setup script to generate ITK Python Wheels
ITK filters that quantify bone morphometry
A module for ITK to transform from cartesian to polar coordinate systems and back.
Fast, Texture Feature Maps from N-Dimensional Images
Smoothing while preserving edges and coherent structures in images with anisotropic diffusion using lattice basis reduction
Run C++ spatial analysis code in Node.js or a Web Browser
This ITK module contains a filter that generates component images from an itk::Image of itk::Vector, itk::CovariantVector, or itk::SymmetricSecondRankTensor.
Interactive Jupyter widgets to visualize images in 2D and 3D
Cookbook examples for the Insight Toolkit documented with Sphinx
Jupyter notebooks for learning how to use SimpleITK