xcv3_gray_hu1 — 2D `features` op

• Data kinds: image → feature

• Call: fullseye.apply(img, "xcv3_gray_hu1", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])

Usage

> This operator's description has not been translated yet. The original text follows as it is.

グレースケール画像の第 1 Hu 不変モーメント(OpenCV `cv2.HuMoments(cv2.moments(...))[0,0]`)。画像を二値形状ではなく濃淡そのものを質量分布とみなしたときの、回転・拡大縮小・平行移動に不変な広がり具合を表す特徴量(2 次の中心モーメントに基づく)。1.0 で頭打ち。

`a, b` は未使用。二値領域の形状記述に使う通常の Hu モーメントとは異なり、濃淡値をそのまま重みとして使う点に注意。

Detailed usage guide

• gallery2d_features 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.

Runnable examples (verified samples that actually call this op)

• gallery2d_features — py -3.11 examples/gallery2d_features.py

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

identity

Same category (`features`)

blob_count · area_frac · count_contours · total_length · vol_count · sk_euler · sk_entropy_feat · sk_blur_effect

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

xcv3_gray_hu1 — 2D features op