frequency op• Data kinds: image → image
• Call: fullseye.apply(img, "power_ln", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])
• HALCON equivalent: power_ln (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).*
A stand-in for the power spectrum of a complex image. The implementation is identical to fft_generic: it applies its own FFT to the input image and returns the log of the amplitude, `log1p(|F|), normalized by its maximum (sharing the fft_power branch of _sh_freq`). a and b are unused.
> The detailed description below is the original text — the summary and the headings are translated.
HALCON の `power_ln`（複素画像のパワースペクトルを返す演算、通常は fft_generic 等が出力した複素画像を入力に取る）とは異なり、この実装は複素入力を受け取らず実画像から自前で FFT を計算する簡略近似。fft_generic とは実装上区別がない。
• gallery2d_texture_freq 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.
power_ln 0.40 0.50
▸ Load this pipeline · Load & run
• gallery2d_texture_freq — py -3.11 examples/gallery2d_texture_freq.py
image as input)identity · gaussian · mean_box · bilateral · unsharp · median · min_filter · max_filter
frequency)lowpass · highpass · sk_butterworth · fft_image · power_real · power_byte · phase_rad · highpass_image
*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.