supercells-package: supercells: Superpixels of Spatial Data

In Nowosad/supercells: Superpixels of Spatial Data

supercells: Superpixels of Spatial Data

Description

Creates superpixels based on input spatial data. This package works on spatial data with one variable (e.g., continuous raster), many variables (e.g., RGB rasters), and spatial patterns (e.g., areas in categorical rasters). It is based on the SLIC algorithm (Achanta et al. (2012) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1109/TPAMI.2012.120")}), and readapts it to work with arbitrary dissimilarity measures.

Author(s)

Maintainer: Jakub Nowosad [e-mail] (ORCID)

Other contributors:

• Pascal Mettes (Author of the initial C++ implementation of the SLIC Superpixel algorithm for image data) [contributor]

• Charles Jekel (Author of underlying C++ code for dtw) [contributor]

See Also

Useful links:

• https://jakubnowosad.com/supercells/

• Report bugs at https://github.com/Nowosad/supercells/issues

Nowosad/supercells documentation built on Sept. 2, 2024, 3:42 a.m.