halcon_ext op• Data kinds: image → image
• Call: fullseye.apply(img, "hx_gen_highpass", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])
• HALCON equivalent: gen_highpass (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).*
Generates the frequency mask of an ideal high-pass filter. Corresponds to HALCON's `gen_highpass` (generates an ideal high-pass filter).
> The detailed description below is the original text — the summary and the headings are translated.
DC を中心に fftshift した正規化周波数半径 `r を計算し、r > cutoff` の
画素を 1 とする(`cutoff = 0.05 + 0.45*a)。兄弟 op hx_gen_lowpass` /
`hx_gen_bandpass と半径の計算式を共有する。b` は未使用。返り値は
フィルタそのもの(周波数領域のマスク画像)で、画像に畳み込む前段にあたる。
• gallery2d_halcon_ext 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.
hx_gen_highpass 0.50 0.50
▸ Load this pipeline · Load & run
• gallery2d_halcon_ext — py -3.11 examples/gallery2d_halcon_ext.py
image as input)identity · gaussian · mean_box · bilateral · unsharp · median · min_filter · max_filter
halcon_ext)hx_gen_circle · hx_gen_ellipse · hx_gen_rectangle2 · hx_gen_checker_region · hx_gen_grid_region · hx_gabor · hx_fit_surface1 · hx_fit_surface2
*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.