snic
Superpixel Segmentation with the Simple Non-Iterative Clustering Algorithm
Implements the Simple Non-Iterative Clustering algorithm for superpixel segmentation of multi-band images, as introduced by Achanta and Susstrunk (2017) <doi:10.1109/CVPR.2017.520>. Supports both standard image arrays and geospatial raster objects, with a design that can be extended to other spatial data frameworks. The algorithm groups adjacent pixels into compact, coherent regions based on spectral similarity and spatial proximity. A high-performance implementation supports images with arbitrary spectral bands.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.6.1 |
rolling linux/jammy R-4.5 | snic_0.6.1.tar.gz |
5.0 MiB |
0.6.1 |
rolling linux/noble R-4.5 | snic_0.6.1.tar.gz |
5.0 MiB |
0.6.1 |
rolling source/ R- | snic_0.6.1.tar.gz |
5.6 MiB |
0.6.1 |
latest linux/jammy R-4.5 | snic_0.6.1.tar.gz |
5.0 MiB |
0.6.1 |
latest linux/noble R-4.5 | snic_0.6.1.tar.gz |
5.0 MiB |
0.6.1 |
latest source/ R- | snic_0.6.1.tar.gz |
5.6 MiB |
0.6.1 |
2026-04-26 source/ R- | snic_0.6.1.tar.gz |
5.6 MiB |
0.6.1 |
2026-04-23 source/ R- | snic_0.6.1.tar.gz |
5.6 MiB |
0.6.1 |
2026-04-09 windows/windows R-4.5 | snic_0.6.1.zip |
5.0 MiB |