DESCRIPTION

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