intensity-transform op• Data kinds: image → image
• Call: fullseye.apply(img, "xmh_soft", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])
*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).*
Soft thresholding (`mahotas.thresholding.soft_threshold`, shrinkage). Collapses pixels whose absolute value is below the threshold to 0, and shifts the rest toward 0 by the threshold amount. Applies a technique commonly used for wavelet/sparse-signal denoising directly to pixel values.
> The detailed description below is the original text — the summary and the headings are translated.
`a は閾値(a*0.5 で 0〜0.5)を振る。b` は未使用。
• gallery2d_gray_arith 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.
xmh_soft 0.50 0.50
▸ Load this pipeline · Load & run
• gallery2d_gray_arith — py -3.11 examples/gallery2d_gray_arith.py
image as input)identity · gaussian · mean_box · bilateral · unsharp · median · min_filter · max_filter
intensity-transform)—
*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.