- First commit

README.md

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+# sitk-registration-sys
+
+This crate does two things: 
+- find an affine transform or translation that transforms one image into the other
+- use bpline or nearest neighbor interpolation to apply a transformation to an image
+
+To do this [SimpleITK](https://github.com/SimpleITK/SimpleITK.git), which is written in
+C++, is used. An adapter library is created to expose the required functionality in SimpleITK
+in a shared library. Because of this, compilation of this crate requires quite some time, as
+wel as cmake.
+
+## Examples
+### Registration
+```
+    let image_a = (some Array2);
+    let iameg_b = (some transformed Array2);
+    let transform = Transform::register_affine(image_a.view(), image_b.view())?;
+    println!("transform: {:#?}", transform);
+```
+
+### Interpolation
+```    
+    let image = (Some Array2);
+    let shape = image.shape();
+    let origin = [
+        ((shape[1] - 1) as f64) / 2f64,
+        ((shape[0] - 1) as f64) / 2f64,
+    ];
+    let transform = Transform::new([1.2, 0., 0., 1., 10., 0.], origin, [shape[0], shape[1]]);
+    let transformed_image = transform.transform_image_bspline(image.view())?;
+```