deform_ffd — 2D deformation op

Data kinds: imageimage

Call: fullseye.apply(img, "deform_ffd", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])

deform_ffd: 入力 → 出力

*The figure is the real output on a synthetic 128×128 input. Left: input, right: output (a non-image return value is shown as the value itself).*

Usage

Cubic B-spline free-form deformation (Rueckert et al., IEEE TMI 1999).

A coarse control lattice of `n x n spans (n = 2 + int(6b)`, one padding

ring on each side) carries a deterministic smooth displacement pattern

`phi[i,j] = amp * [sin(2 pi j/n), cos(2 pi i/n)]`; the dense displacement

at a pixel is the tensor product of the four uniform cubic B-spline basis

functions of its span coordinate with the surrounding 4x4 control

displacements, so a control point only ever moves the 4 spans it supports.

That field is used as the backward map and the image is bilinearly resampled.

`a sets the amplitude amp = 0.45*a*min(sy,sx)` -- kept under the

`0.48*spacing` injectivity bound of Choi & Lee (2000), so the deformation

stays a fold-free bijection -- and `b the lattice resolution. a = 0`

gives a zero lattice, hence the identity (up to sub-pixel resampling error).

Detailed usage guide

gallery2d_geometry family guide

References (sample data, literature)

• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).

• Operator provenance and references — the sources of the research/methods this op family came from.

• The canonical algorithm (author, year) and its uses are named in the family usage guide above.

Try it in Studio

The program below has been verified to run (same input as the figure). In Studio's help this block becomes buttons that load and run it on the spot.

deform_ffd 0.50 0.50

▸ Load this pipeline  ·  Load & run

Runnable examples (verified samples that actually call this op)

gallery2d_geometrypy -3.11 examples/gallery2d_geometry.py

Ops the type connects to (they accept image as input)

identity · gaussian · mean_box · bilateral · unsharp · median · min_filter · max_filter

Same category (deformation)

deform_tps · deform_mls


*Provenance: ops.py — 2D operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.