gray op• Data kinds: image → image
• Call: fullseye.apply(img, "xsk3_integral_image", 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).*
Integral image (summed-area table, skimage `transform.integral_image`). An image storing the cumulative sum from the origin to each pixel, which lets the sum over any rectangular region be computed by referencing just 4 points - a classic precomputation used to speed up Haar features and rectangular filters. Normalized by the maximum value and flattened for display.
> The detailed description below is the original text — the summary and the headings are translated.
`a, b` は未使用。値そのものは単調非減少で、右下に行くほど明るくなる見た目になる(画像としての意味は薄く、内部データ構造の可視化に近い)。
• 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.
xsk3_integral_image 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
gray)gamma · invert · scale_clip · equalize · sigmoid · clahe · sk_adapthist · sk_enhance_contrast
*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.