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.
| Version: |
0.6.1 |
| Depends: |
R (≥ 3.5.0) |
| Suggests: |
testthat (≥ 3.0.0), terra, spelling, covr, magick, jpeg, png, knitr, rmarkdown |
| Published: |
2025-12-14 |
| DOI: |
10.32614/CRAN.package.snic |
| Author: |
Rolf Simoes  [aut,
cre],
Felipe Souza
[aut],
Felipe Carlos
[aut],
Gilberto Camara
[aut, rth] |
| Maintainer: |
Rolf Simoes <rolfsimoes at gmail.com> |
| BugReports: |
https://github.com/rolfsimoes/snic/issues |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://github.com/rolfsimoes/snic,
https://rolfsimoes.github.io/snic/ |
| NeedsCompilation: |
yes |
| Language: |
en-US |
| Materials: |
README, NEWS |
| CRAN checks: |
snic results |
Documentation:
Downloads:
Reverse dependencies:
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