dichromatic op• Datenarten: rgbimage → rgbimage
• Aufruf: import fullseye as fs; fs.ledger.specular_free_transform(image_rgb, illuminant_rgb=(1.0, 1.0, 1.0)) (die Implementierung direkt: import specularity; specularity.specular_free_transform(image_rgb, illuminant_rgb=(1.0, 1.0, 1.0)); aus dem Register: opsspecular.get("specular_free_transform"))
Projiziert die Beleuchtungsrichtung heraus: der Teil des Bildes, den ein Glanzlicht nicht berühren kann. → (H, W, 3).
> Die ausführliche Beschreibung unten ist der Originaltext — Zusammenfassung und Überschriften sind übersetzt.
I - (I.G) G for the unit illuminant colour G. Under the dichromatic model the interface term is m_s * G, so it lies entirely in the removed direction and the result is invariant to any specular term whatsoever — exactly, for any lobe shape, any strength, any spatial pattern. That is the specular-invariant subspace of Mallick et al. (2005); this operator is the projection itself, with no rotation into named channels, so it stays in RGB and composes with the rest of the family.
Use it when the *shape* of the specular lobe is unknown or the surface is textured — feature matching, edge detection and correlation all work in this subspace without any of the assumptions specular_diffuse_split needs.
This is a projection, not a picture. The result loses one of three degrees of freedom (its component along G is exactly zero everywhere) and, for an image with negative values after black-level subtraction, keeps them. It is not a displayable "highlight-removed photo" and does not claim to be; for that, use specular_diffuse_split.
Raises ValueError: *image_rgb* is not a valid (H, W, 3) linear RGB image (see specular_diffuse_split); *illuminant_rgb* is not a non-zero 3-vector.
• 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.
• poc_leaf_disease_area — py -3.11 examples/poc_leaf_disease_area.py
• specular_photometric — py -3.11 examples/specular_photometric.py
rgbimage als Eingabe)specular_diffuse_split · specular_coefficient_map · illuminant_from_dichromatic_planes
dichromatic)specular_diffuse_split · specular_coefficient_map · illuminant_from_dichromatic_planes
*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.