Other packages > Find by keyword >

snic  

Superpixel Segmentation with the Simple Non-Iterative Clustering Algorithm
View on CRAN: Click here


Download and install snic package within the R console
Install from CRAN:
install.packages("snic")

Install from Github:
library("remotes")
install_github("cran/snic")

Install by package version:
library("remotes")
install_version("snic", "0.6.1")



Attach the package and use:
library("snic")
Maintained by
Rolf Simoes
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-12-03
Latest Update: 2025-12-03
Description:
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.
How to cite:
Rolf Simoes (2025). snic: Superpixel Segmentation with the Simple Non-Iterative Clustering Algorithm. R package version 0.6.1, https://cran.r-project.org/web/packages/snic. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:05), 0.6.0 (2025-12-03 21:40)
Other packages that cited snic R package
View snic citation profile
Other R packages that snic depends, imports, suggests or enhances
Complete documentation for snic
Functions, R codes and Examples using the snic R package
Full snic package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

gemlog  
File Conversion for "Gem Infrasound Logger"
Reads data files from the 'Gem infrasound logger' for analysis and converts to segy format (which is ...
Download / Learn more Package Citations See dependency  
magicfor  
Magic Functions to Obtain Results from for Loops
Magic functions to obtain results from for loops. ...
Download / Learn more Package Citations See dependency  
givitiR  
The GiViTI Calibration Test and Belt
Functions to assess the calibration of logistic regression models with the GiViTI (Gruppo Italiano p ...
Download / Learn more Package Citations See dependency  
forecastHybrid  
Convenient Functions for Ensemble Time Series Forecasts
Convenient functions for ensemble forecasts in R combining approaches from the 'forecast' package. ...
Download / Learn more Package Citations See dependency  
FDRsampsize  
Compute Sample Size that Meets Requirements for Average Power and FDR
Defines a collection of functions to compute average power and sample size for studies that use the ...
Download / Learn more Package Citations See dependency  
climwin  
Climate Window Analysis
Contains functions to detect and visualise periods of climate sensitivity (climate windows) for a g ...
Download / Learn more Package Citations See dependency  

29,080

R Packages

247,686

Dependencies

77,281

Author Associations

29,081

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA