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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "thinr" in publications use:'
type: software
license: LGPL-3.0-only
title: 'thinr: Binary Image Thinning Algorithms'
version: 0.2.0
abstract: 'Thinning (skeletonization) algorithms for binary raster images. Provides
  seven algorithms behind a single dispatching function: Zhang-Suen (Zhang and Suen
  1984) <https://doi.org/10.1145/357994.358023>, Guo-Hall (Guo and Hall 1989) <https://doi.org/10.1145/62065.62074>,
  a 2-D adaptation of Lee (Lee, Kashyap, and Chu 1994) <https://doi.org/10.1006/cgip.1994.1042>,
  K3M (Saeed, Tabedzki, Rybnik, and Adamski 2010) <https://doi.org/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) <https://doi.org/10.1145/12527.12531>.
  Also provides the medial axis transform (Blum 1967) and a distance transform implementation
  following Felzenszwalb and Huttenlocher (2012) <https://doi.org/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.'
authors:
- family-names: Denney
  given-names: Bill
  email: wdenney@humanpredictions.com
  orcid: https://orcid.org/0000-0002-5759-428X
  affiliation: Human Predictions
repository: https://cran.r-universe.dev
repository-code: https://github.com/humanpred/thinr
commit: 1b1907b82b12ee934aaff9f3d522a8b762aa1e66
url: https://humanpred.github.io/thinr/
date-released: '2026-05-27'
contact:
- family-names: Denney
  given-names: Bill
  email: wdenney@humanpredictions.com
  orcid: https://orcid.org/0000-0002-5759-428X
  affiliation: Human Predictions