Other packages > Find by keyword >

SuperpixelImageSegmentation  

Superpixel Image Segmentation
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SuperpixelImageSegmentation", "1.0.5")



Attach the package and use:
library("SuperpixelImageSegmentation")
Maintained by
Lampros Mouselimis
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-12-30
Latest Update: 2022-02-06
Description:
Image Segmentation using Superpixels, Affinity Propagation and Kmeans Clustering. The R code is based primarily on the article "Image Segmentation using SLIC Superpixels and Affinity Propagation Clustering, Bao Zhou, International Journal of Science and Research (IJSR), 2013" <https://www.ijsr.net/archive/v4i4/SUB152869.pdf>.
How to cite:
Lampros Mouselimis (2018). SuperpixelImageSegmentation: Superpixel Image Segmentation. R package version 1.0.5, https://cran.r-project.org/web/packages/SuperpixelImageSegmentation. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0.0 (2018-12-30 18:50), 1.0.1 (2019-05-29 13:00), 1.0.2 (2020-06-13 17:40), 1.0.3 (2021-03-05 20:00), 1.0.4 (2021-05-04 16:10)
Other packages that cited SuperpixelImageSegmentation R package
View SuperpixelImageSegmentation citation profile
Other R packages that SuperpixelImageSegmentation depends, imports, suggests or enhances
Complete documentation for SuperpixelImageSegmentation
Functions, R codes and Examples using the SuperpixelImageSegmentation R package
Some associated functions: Image_Segmentation . 
Some associated R codes: RcppExports.R . SuperpixelImageSegmentation.R . px_utils.R .  Full SuperpixelImageSegmentation package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
tropAlgebra  
Tropical Algebraic Functions
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In t ...
Download / Learn more Package Citations See dependency  
elect  
Estimation of Life Expectancies Using Multi-State Models
Functions to compute state-specific and marginal life expectancies. The computation is based on a fi ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

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