{
  "_id": "6a115f84acfb0bcc41ced2d4",
  "Package": "coglyphr",
  "Title": "Compute Glyph Centers of Gravity from Image Data",
  "Version": "1.1.0",
  "Authors@R": "person(\"Hiroyuki\", \"Muto\", , \"mutopsy@omu.ac.jp\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-0007-6019\"))",
  "Description": "Computes the center of gravity (COG) of character-like\nbinary images using three different methods. This package\nprovides functions for estimating stroke-based, contour-based,\nand potential energy-based COG. It is useful for analyzing\nglyph structure in areas such as visual cognition research and\nfont development. The contour-based method was originally\nproposed by Kotani et al. (2004)\n<https://ipsj.ixsq.nii.ac.jp/records/36793> and Kotani (2011)\n<https://shonan-it.repo.nii.ac.jp/records/2000243>, while the\npotential energy-based method was introduced by Kotani et al.\n(2006) <doi:10.11371/iieej.35.296>.",
  "License": "GPL-3",
  "Encoding": "UTF-8",
  "URL": "https://github.com/mutopsy/coglyphr,\nhttps://mutopsy.github.io/coglyphr/",
  "BugReports": "https://github.com/mutopsy/coglyphr/issues",
  "Roxygen": "list(markdown = TRUE)",
  "RoxygenNote": "7.3.2",
  "LazyData": "true",
  "Config/testthat/edition": "3",
  "Repository": "https://mutopsy.r-universe.dev",
  "Date/Publication": "2025-12-24 09:29:22 UTC",
  "RemoteUrl": "https://github.com/mutopsy/coglyphr",
  "RemoteRef": "HEAD",
  "RemoteSha": "a56eb7fe12ce73750ae16c91977df1e356b178a8",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-23 08:01:12 UTC",
    "User": "root"
  },
  "Author": "Hiroyuki Muto [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-0007-6019>)",
  "Maintainer": "Hiroyuki Muto <mutopsy@omu.ac.jp>",
  "MD5sum": "ce677217184949135c491bf0edd8f1e5",
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  "_type": "src",
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  "_published": "2026-05-23T08:04:20.757Z",
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  "_upstream": "https://github.com/mutopsy/coglyphr",
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    "email": "mutopsy@omu.ac.jp",
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  "_selfowned": true,
  "_usedby": 0,
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    "extra/citation.html",
    "extra/citation.json",
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    "cog_contour",
    "cog_potential",
    "cog_stroke",
    "draw_contour",
    "draw_potential",
    "draw_stroke"
  ],
  "_datasets": [
    {
      "name": "img_A",
      "title": "Example Image A",
      "object": "img_A",
      "class": [
        "cimg",
        "imager_array",
        "numeric"
      ],
      "fields": [],
      "table": false,
      "tojson": true
    },
    {
      "name": "img_B",
      "title": "Example Image B",
      "object": "img_B",
      "class": [
        "cimg",
        "imager_array",
        "numeric"
      ],
      "fields": [],
      "table": false,
      "tojson": true
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  ],
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    {
      "page": "cog_contour",
      "title": "Compute Contour-Based Center of Gravity (COG)",
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        "cog_contour"
      ]
    },
    {
      "page": "cog_potential",
      "title": "Compute Potential Energy-Based Center of Gravity (COG)",
      "topics": [
        "cog_potential"
      ]
    },
    {
      "page": "cog_stroke",
      "title": "Compute Stroke-Based Center of Gravity (COG)",
      "topics": [
        "cog_stroke"
      ]
    },
    {
      "page": "draw_contour",
      "title": "Visualize Contour-Based Region and Center of Gravity (COG)",
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        "draw_contour"
      ]
    },
    {
      "page": "draw_potential",
      "title": "Visualize Potential-Based Center of Gravity (COG) and Potential Field",
      "topics": [
        "draw_potential"
      ]
    },
    {
      "page": "draw_stroke",
      "title": "Visualize Stroke Region and Center of Gravity (COG)",
      "topics": [
        "draw_stroke"
      ]
    },
    {
      "page": "img_A",
      "title": "Example Image A",
      "topics": [
        "img_A"
      ]
    },
    {
      "page": "img_B",
      "title": "Example Image B",
      "topics": [
        "img_B"
      ]
    }
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