monogenic_orientation — QUAT riesz op

Datenarten: qimageimage2d

Aufruf: import quatimage; quatimage.monogenic_orientation(qimage, display: 'bool' = False) -> 'np.ndarray' (oder opsquat.get("monogenic_orientation"))

Verwendung

Lokale Orientierung `atan2(R2, R1)` eines monogenen Signals. → (H, W).

> Die ausführliche Beschreibung unten ist der Originaltext — Zusammenfassung und Überschriften sind übersetzt.

Radians in `[0, pi): an orientation is defined modulo pi` (a grating at

10 degrees and one at 190 degrees are the same grating), and the value is

folded into that range rather than left in `(-pi, pi]` where the same

structure would read as two different numbers on either side of a contrast

reversal. `display=True maps it to [0, 1]`.

Continuous, not quantised — the angle is read directly from two filters,

for any angle, where a steerable bank with `K` orientations interpolates

between its `K`. Measured against eight grid-exact grating orientations the

error is at most 3.6e-15 rad, including the obliques. (Whether that

buys anything downstream is a separate question, and the measured answer is

mostly *no* — see :func:riesz_displacement.)

Where it is undefined, and the mask is not the one you expect. The

orientation dies where the *Riesz vector* dies, which is at every

even-symmetric point — local phase 0 or pi, the crest of a bright or dark

line — and the amplitude is at full strength there. Measured on a 45-degree

grating, the worst orientation error over the whole frame is 0.2764 rad, at a

pixel where `|R| = 6.8e-16 and :func:monogenic_amplitude` reads

`1.0000`. So masking on the amplitude does not protect you; mask on

`hypot(q[..., 1], q[..., 2])`, the Riesz magnitude. With that mask the

error over the same eight orientations is at most 3.6e-15 rad.

Where the Riesz vector is exactly zero, `atan2(0, 0) = 0` is returned —

a *value*, not a measurement.

Raises `ValueError`: the input is not a valid quaternion field, or its

`k` component is non-zero; *display* is not a bool.

Ausführlicher Anwendungsleitfaden

Leitfaden zur Familie quaternion_monogenic

Referenzen (Beispieldaten, Literatur)

• Katalog der Beispieldaten (Download-URLs / Lizenzen) — 2-D nutzt skimage.data (BSD/Public Domain) plus synthetische Bilder, 3-D nennt Download-URLs echter Datenquellen (Stanford, PDS, …).

• Herkunft und Literatur der Operatoren — die Quellen der Forschung/Verfahren, auf denen diese Operatorfamilie beruht.

• Der kanonische Algorithmus (Autor, Jahr) und seine Anwendungen stehen im Familienleitfaden oben.

Ausführbare Beispiele (verifizierte Samples, die diesen Operator wirklich aufrufen)

quaternion_monogenicpy -3.11 examples/quaternion_monogenic.py

Typkompatible Folge-Operatoren (nehmen image2d als Eingabe)

riesz_transform · monogenic_signal

Gleiche Kategorie (riesz)

riesz_transform · monogenic_signal · monogenic_amplitude · monogenic_phase


*Provenance: quatimage.py — QUAT Operator-Registry. Diese Notiz wird von tools/opdocs.py md erzeugt (nicht von Hand bearbeiten).*

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.