thinr: Binary Image Thinning Algorithms
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.
| Version: |
0.2.0 |
| Depends: |
R (≥ 4.2) |
| Imports: |
Rcpp |
| LinkingTo: |
Rcpp |
| Suggests: |
bench, covr, knitr, lintr, rmarkdown, styler, testthat (≥
3.0.0) |
| Published: |
2026-05-27 |
| DOI: |
10.32614/CRAN.package.thinr (may not be active yet) |
| Author: |
Bill Denney  [aut,
cre] (affiliation: Human Predictions, LLC) |
| Maintainer: |
Bill Denney <wdenney at humanpredictions.com> |
| BugReports: |
https://github.com/humanpred/thinr/issues |
| License: |
LGPL-3 |
| URL: |
https://github.com/humanpred/thinr,
https://humanpred.github.io/thinr/ |
| NeedsCompilation: |
yes |
| Materials: |
README, NEWS |
| CRAN checks: |
thinr results |
Documentation:
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