3D Euclidean Distance Transform for Variable Data Aspect Ratio
Implementation of 3D Euclidean distance transform for data with non-trivial aspect ratio.
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This function computes Euclidean distance transform for 3D binary image with non-trivial aspect ratio (i.e. anisotropic pixels). The algorithm uses fast optimized line-scans and is actually faster than MATLAB's BWDIST implementation of search on optimized kd-tree for many cases. It also uses cell-array representation for internal data, and thus is less demanding to physical memory.
If you use this function in your research or a paper, you can cite it as follows:
Y. Mishchenko (2015) A fast algorithm for computation of discrete Euclidean distance transform in three or more dimensions on vector processing architectures. Signal, Image and Video Processing, 9(1), 19-27.
Citar como
Yuriy Mishchenko (2026). 3D Euclidean Distance Transform for Variable Data Aspect Ratio (https://es.mathworks.com/matlabcentral/fileexchange/15455-3d-euclidean-distance-transform-for-variable-data-aspect-ratio), MATLAB Central File Exchange. Recuperado .
Agradecimientos
Inspiración para: WITio, Microscopy Image Browser (MIB), Microscopy Image Browser 2 (MIB2)
Información general
- Versión 1.8.0.0 (53,8 KB)
Compatibilidad con la versión de MATLAB
- Compatible con cualquier versión
Compatibilidad con las plataformas
- Windows
- macOS
- Linux
| Versión | Publicado | Notas de la versión | Action |
|---|---|---|---|
| 1.8.0.0 | Added citation information as many people had requested. |
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| 1.7.0.0 | Replaces bwdistsc with the earlier introduced experimental bwdistX, which uses forward-backward version of algorithm, improving speed up to 10x vs native bwdist |
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| 1.6.0.0 | Adds experimental bwdistX for user testing, which uses forward-backward version of algorithm and is up to 10x faster than native bwdist |
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| 1.3.0.0 | Included bwdistsc1 that allows restricting calculations out to a certain distance, which may accelerate calculations in some cases, see readme. Also contains a fix for Matlab version detection routine, thanks to Tudor Dima. |
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| 1.0.0.0 | The code had been improved to better handle certain type of problems (cavities). It also contains fix allowing use of function with plain 2D images. |
