Package: thinr
Title: Binary Image Thinning Algorithms
Version: 0.2.0
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 drop-in thinImage() matches
    the signature of thinImage() in the 'EBImage' package on
    Bioconductor so existing code can switch parsers without changes.
    The wider thin() API selects the algorithm by name.
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
RoxygenNote: 8.0.0
URL: https://github.com/humanpred/thinr,
        https://humanpred.github.io/thinr/
BugReports: https://github.com/humanpred/thinr/issues
NeedsCompilation: yes
Packaged: 2026-05-20 18:04:21 UTC; bill
Author: Bill Denney [aut, cre] (ORCID: <https://orcid.org/0000-0002-5759-428X>,
    affiliation: Human Predictions, LLC)
Maintainer: Bill Denney <wdenney@humanpredictions.com>
Repository: CRAN
Date/Publication: 2026-05-27 20:10:02 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2026-05-27 23:50:52 UTC; windows
Archs: x64
