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])
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.
• 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.