Package: thinr
Title: Binary Image Thinning Algorithms
Version: 0.3.0.9000
Authors@R: 
    person("Bill", "Denney", , "wdenney@humanpredictions.com",
           role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-5759-428X",
                       affiliation = "Human Predictions, LLC"))
Description: Thinning (skeletonization) algorithms for binary raster
        images. Provides seven algorithms behind a single dispatching
        function: Zhang-Suen (Zhang and Suen 1984)
        <doi:10.1145/357994.358023>, Guo-Hall (Guo and Hall 1989)
        <doi:10.1145/62065.62074>, a 2-D adaptation of Lee (Lee,
        Kashyap, and Chu 1994) <doi:10.1006/cgip.1994.1042>, K3M
        (Saeed, Tabedzki, Rybnik, and Adamski 2010)
        <doi:10.2478/v10006-010-0024-4>, the parallel form commonly
        attributed to Hilditch (1969, in 'Machine Intelligence 4'),
        OPTA / SPTA (Naccache and Shinghal 1984), and Holt and
        colleagues (1987) <doi:10.1145/12527.12531>. Also provides the
        medial axis transform (Blum 1967) and a distance transform
        implementation following Felzenszwalb and Huttenlocher (2012)
        <doi:10.4086/toc.2012.v008a019>. The thin() API selects the
        algorithm by name, defaulting to Zhang-Suen. Complements the
        morphology in the 'EBImage' package, which does not provide a
        thinning operator.
License: LGPL-3
Encoding: UTF-8
Depends: R (>= 4.2)
LinkingTo: Rcpp
Imports: Rcpp
Suggests: bench, covr, knitr, lintr, rmarkdown, styler, testthat (>=
        3.0.0)
VignetteBuilder: knitr
Config/testthat/edition: 3
Roxygen: list(markdown = TRUE)
RoxygenNote: 8.0.0
URL: https://github.com/humanpred/thinr,
        https://humanpred.github.io/thinr/
BugReports: https://github.com/humanpred/thinr/issues
Repository: https://humanpred.r-universe.dev
Date/Publication: 2026-08-22 23:35:25 UTC
RemoteUrl: https://github.com/humanpred/thinr
RemoteRef: HEAD
RemoteSha: 4f4b3aaea7dc5fdd98095e7a0cd00496919e62e4
NeedsCompilation: yes
Packaged: 2026-10-22 07:11:07 UTC; root
Author: Bill Denney [aut, cre] (ORCID: <https://orcid.org/0000-0002-5759-428X>,
    affiliation: Human Predictions, LLC)
Maintainer: Bill Denney <wdenney@humanpredictions.com>