tf_census_transform — 2D `texture` op

• Data kinds: image → image

• Call: fullseye.apply(img, "tf_census_transform", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])

tf_census_transform: 入力 → 出力

*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).*

Usage

census_transform: the 3x3 non-parametric census bit-signature image.

For every pixel each of its 8 neighbours contributes one bit, set when the

centre exceeds the neighbour by more than a *relative* tolerance

`a * |centre| (a defaults the tolerance; b` unused). The 8 bits form

a value 0..255 rendered as [0,1]. Because the tolerance is relative and the

comparison is on ordering only, the signature is invariant to a global gain

(multiplying the image by any positive constant leaves every bit unchanged) --

the robustness-to-gain property that makes census matching useful for stereo.

Uses the raw (non-luma-collapsed) reflected border.

Detailed usage guide

• gallery2d_texture_freq family guide

References (sample data, literature)

• 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.

Try it in Studio

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.

tf_census_transform 0.50 0.50

▸ Load this pipeline · Load & run

Runnable examples (verified samples that actually call this op)

• gallery2d_texture_freq — py -3.11 examples/gallery2d_texture_freq.py

Ops the type connects to (they accept `image` as input)

identity · gaussian · mean_box · bilateral · unsharp · median · min_filter · max_filter

Same category (`texture`)

std_filter · gabor · sk_frangi · sk_meijering · sk_hessian · sk_gabor · sk_lbp · sk_entropy

*Provenance: ops.py — 2D operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

tf_census_transform — 2D texture op