dichromatic op• Data kinds: rgbimage → rgbimage
• Call: import fullseye as fs; fs.ledger.specular_free_transform(image_rgb, illuminant_rgb=(1.0, 1.0, 1.0)) (implementation को सीधे call करना हो तो import specularity; specularity.specular_free_transform(image_rgb, illuminant_rgb=(1.0, 1.0, 1.0)), registry से लेना हो तो opsspecular.get("specular_free_transform"))
illuminant की दिशा को project करके हटाता है: image का वह भाग जिसे highlight छू नहीं सकता। → (H, W, 3)।
> नीचे का विस्तृत विवरण मूल text में है — सारांश और headings का अनुवाद हो चुका है।
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.
• specular_photometric 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।
• poc_leaf_disease_area — py -3.11 examples/poc_leaf_disease_area.py
• specular_photometric — py -3.11 examples/specular_photometric.py
rgbimage को input के रूप में लेते हैं)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. 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.