deviation_image — 2D `texture` op

• Data kinds: image → image

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

• HALCON equivalent: deviation_image (the HALCON reference is a useful guide to its meaning and parameters)

deviation_image: 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

An image obtained by normalizing the standard deviation of pixel values within a rectangular window (local standard deviation, the square root of `E[x^2]-E[x]^2). Visualizes local variation (roughness) in texture. Corresponds to HALCON's deviation_image` (Calculate the standard deviation of gray values within rectangular windows).

> The detailed description below is the original text — the summary and the headings are translated.

`a が窓の一辺を {3,5,7,9} で振る。b` は未使用。平坦な領域では

0 に近く、テクスチャの激しい領域で値が大きくなる。

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.

deviation_image 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).*

deviation_image — 2D texture op