Expand description
This crate does two things:
- find an affine transform or translation that transforms one image into the other
- use bspline or nearest neighbor interpolation to apply a transformation to an image
To do this, SimpleITK, which is written in C++, is used. An adapter library is created using autocxx to expose the required functionality in SimpleITK. Because of this, compilation of this crate requires quite some time, several GB of memory, up to 50 GB of hard disk space, as well as cmake, a C++ compiler, llvm and git. Use at your own risk!
§Examples
§Registration
use ndarray::Array2;
use sitk_registration_sys::registration::{AffineTransform, julia_image};
let j = julia_image(0f32, 0f32).unwrap();
let shape = j.shape();
let origin = [
((shape[1] - 1) as f64) / 2f64,
((shape[0] - 1) as f64) / 2f64,
];
let s = AffineTransform::new([1.2, 0., 0., 1., 5., 7.], origin, [shape[0], shape[1]]);
let k: Array2<_> = s.transform_image_bspline(j.view()).unwrap().into();
let t = AffineTransform::register_affine(j.view(), k.view()).unwrap().inverse().unwrap();
let d = (t.matrix() - s.matrix()).powi(2).sum();
assert!(d < 0.025, "d: {}, t: {:?}", d, t.parameters);§Interpolation
use ndarray::Array2;
use sitk_registration_sys::registration::{AffineTransform, julia_image};
let j = julia_image(-120f32, 10f32).unwrap();
let k = julia_image(0f32, 0f32).unwrap();
let shape = j.shape();
let origin = [
((shape[1] - 1) as f64) / 2f64,
((shape[0] - 1) as f64) / 2f64,
];
let transform = AffineTransform::new([1., 0., 0., 1., 120., -10.], origin, [shape[0], shape[1]]);
let n: Array2<_> = transform.transform_image_bspline(j.view()).unwrap().into();
let d = (k.mapv(|x| x as f64) - n.mapv(|x| x as f64)).powi(2).sum();
assert!(d <= (shape[0] * shape[1]) as f64);Modules§
- ffi_
extra - Manually generated bindings for some things that autocxx does not understand.
- registration
- Some structs and methods to make working with registration and interpolation methods in SimpleITK more Rust friendly.
- simple
- The bindings generated by autocxx. Everything in here is unsafe.