riesz op• Data kinds: qimage → image2d
• Call: import fullseye as fs; fs.ledger.monogenic_amplitude(qimage) -> 'np.ndarray' (implementation को सीधे call करना हो तो import quatimage; quatimage.monogenic_amplitude(qimage) -> 'np.ndarray', registry से लेना हो तो opsquat.get("monogenic_amplitude"))
monogenic signal का local amplitude sqrt(f^2 + R1^2 + R2^2)। → (H, W)।
> नीचे का विस्तृत विवरण मूल text में है — सारांश और headings का अनुवाद हो चुका है।
The local contrast at the signal's scale, and the confidence map for monogenic_phase / monogenic_orientation, which mean nothing where this is at the rounding floor. Raw / unnormalised (a contrast is a metric quantity), in the same spirit as complexops.cx_magnitude.
For a unit-contrast grating at the band centre it is exactly 1.0 (measured spread 8.9e-16 over a 64x64 frame) and, unlike a squared oriented-filter response, it is *isotropic*: rotating the grating does not change it. Measured over eight grid-exact orientations the amplitude spans [0.99999999999999911, 1.0000000000000011] — a total spread of 2.0e-15 across all of them, which is the isotropy claim as a number.
Raises ValueError: the input is not a valid quaternion field, or its k component is non-zero (see _require_monogenic).
• quaternion_monogenic family guide
• Sample data catalog (DL URL / license) — 2-D के लिए skimage.data (BSD/public) + synthetic, 3-D के लिए real data sources (Stanford/PDS आदि) के DL URL।
• Operators का स्रोत और संदर्भ — इस op family के मूल research/methods के स्रोत।
• Algorithm का मानक स्रोत (लेखक, वर्ष) और उपयोग ऊपर की family usage guide में दिए गए हैं।
• quaternion_monogenic — py -3.11 examples/quaternion_monogenic.py
image2d को input के रूप में लेते हैं)riesz_transform · monogenic_signal
riesz)riesz_transform · monogenic_signal · monogenic_phase · monogenic_orientation
*Provenance: quatimage.py — QUAT operator registry. यह per-op note tools/opdocs.py md से अपने-आप generate होता है (हाथ से edit न करें)।*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.