Density-encoded line integral convolution: polarisation optical axis tractography using centroidal Voronoi tessellation

Fuente: arXiv
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Hauptverfasser: Tharan, Darven Murali, Bonesi, Marco, Everett, Daniel, McGoverin, Cushla, McGlashan, Sue, Thambyah, Ashvin, Vanholsbeeck, Frédérique
Format: Preprint
Veröffentlicht: 2025
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author Tharan, Darven Murali
Bonesi, Marco
Everett, Daniel
McGoverin, Cushla
McGlashan, Sue
Thambyah, Ashvin
Vanholsbeeck, Frédérique
author_facet Tharan, Darven Murali
Bonesi, Marco
Everett, Daniel
McGoverin, Cushla
McGlashan, Sue
Thambyah, Ashvin
Vanholsbeeck, Frédérique
contents Visualising complex polarimetry optical axis fields is challenging. We introduce density-encoded line integral convolution (DELIC), a novel approach that builds on the classic line integral convolution algorithm by incorporating the principles of centroidal Voronoi tessellation, enabling clearer and more interpretable representations of complex optical axis fields.
format Preprint
id arxiv_https___arxiv_org_abs_2508_02060
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Density-encoded line integral convolution: polarisation optical axis tractography using centroidal Voronoi tessellation
Tharan, Darven Murali
Bonesi, Marco
Everett, Daniel
McGoverin, Cushla
McGlashan, Sue
Thambyah, Ashvin
Vanholsbeeck, Frédérique
Optics
Image and Video Processing
Medical Physics
Visualising complex polarimetry optical axis fields is challenging. We introduce density-encoded line integral convolution (DELIC), a novel approach that builds on the classic line integral convolution algorithm by incorporating the principles of centroidal Voronoi tessellation, enabling clearer and more interpretable representations of complex optical axis fields.
title Density-encoded line integral convolution: polarisation optical axis tractography using centroidal Voronoi tessellation
topic Optics
Image and Video Processing
Medical Physics
url https://arxiv.org/abs/2508.02060