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.
Yuriy Mishchenko (2022). 3D Euclidean Distance Transform for Variable Data Aspect Ratio (https://www.mathworks.com/matlabcentral/fileexchange/15455-3d-euclidean-distance-transform-for-variable-data-aspect-ratio), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform CompatibilityWindows macOS Linux
- AI, Data Science, and Statistics > Statistics and Machine Learning Toolbox > Cluster Analysis > Nearest Neighbors >
- Image Processing and Computer Vision > Image Processing Toolbox > Image Segmentation and Analysis > Region and Image Properties >
- MATLAB > Graphics > Formatting and Annotation > Axes Appearance > Aspect Ratios and Layout >
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