polarization op• Datenarten: polsweep → image2d
• Aufruf: import specularity; specularity.polarization_dolp_map(images, angles_deg=(0.0, 45.0, 90.0, 135.0), max_violation_frac=0.0) (oder opsspecular.get("polarization_dolp_map"))
Linearer Polarisationsgrad pro Pixel. → (H, W) in [0, 1].
> Die ausführliche Beschreibung unten ist der Originaltext — Zusammenfassung und Überschriften sind übersetzt.
`sqrt(S1^2 + S2^2) / S0`, from the same sinusoid fit as
:func:polarization_separate. It answers the question that decides whether
a polariser is worth mounting at all: 1 means the light at that pixel is
fully linearly polarised and a crossed analyser extinguishes it completely,
0 means the polariser will only cost you a stop of exposure.
Being a ratio, it is invariant to exposure: scaling every frame by 1e-4,
1e4 or 1e8 moves it by at most 3.9e-16 (measured), which is what makes it
comparable across a production line where the lamps age. Not *bit*-
identical — the least-squares fit rounds differently at a different scale —
and the difference between "invariant" and "bit-identical" is the kind of
claim this library measures rather than asserts.
Pixels with zero total radiance have no degree of polarisation (every ratio
would be 0/0) and are returned as 0.0 rather than as NaN; that is a
convention, and it is stated here because a NaN spreading into a
thresholding routine is exactly the silent failure this library refuses.
Raises `ValueError: as :func:polarization_separate`.
• Leitfaden zur Familie specular_photometric
• 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.
• specular_photometric — py -3.11 examples/specular_photometric.py
image2d als Eingabe)polarization)polarization_render · polarization_separate · polarization_stokes
*Provenance: specularity.py — SPECULAR 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.