geometry op• Data kinds: image → image
• Call: fullseye.apply(img, "affine_trans_image_size", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])
• HALCON equivalent: affine_trans_image_size (the HALCON reference is a useful guide to its meaning and parameters)

*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).*
Applies an affine transform (rotation + shear) to the image. The implementation shares the `affine branch of _sh_geom with affine_trans_image`; a sets the rotation angle to -20 to +20 degrees, and b sets the shear amount. Out-of-bounds areas are filled by reflection (reflect).
> The detailed description below is the original text — the summary and the headings are translated.
HALCON の `affine_trans_image_size(アフィン変換を適用し、出力画像のキャンバスサイズを明示的に指定できる演算)とは異なり、この実装は出力サイズの指定を受け付けず、常に入力と同じキャンバスサイズを保つ近似(affine_trans_image` と実質同一の実装)。
• gallery2d_geometry family guide
• 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.
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.
affine_trans_image_size 0.50 0.50
▸ Load this pipeline · Load & run
• gallery2d_geometry — py -3.11 examples/gallery2d_geometry.py
image as input)identity · gaussian · mean_box · bilateral · unsharp · median · min_filter · max_filter
geometry)rotate_img · rescale_img · affine_warp · sk_swirl · mirror_image · transpose_region · rotate_image · zoom_image_factor
*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.