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Schmidt","url":"https://thi.ng"},"license":"Apache-2.0","homepage":"https://thi.ng/distance-transform","keywords":["typescript"],"repository":{"type":"git","url":"git+https://codeberg.org/thi.ng/umbrella.git","directory":"packages/distance-transform"},"description":"Binary image to Distance Field transformation","maintainers":[{"name":"thi.ng","email":"k+npm@thi.ng"}],"readme":"<!-- This file is generated - DO NOT EDIT! -->\n<!-- Please see: https://codeberg.org/thi.ng/umbrella/src/branch/develop/CONTRIBUTING.md#changes-to-readme-files -->\n# ![@thi.ng/distance-transform](https://codeberg.org/thi.ng/umbrella/media/branch/develop/assets/banners/thing-distance-transform.svg?03e53129)\n\n[![npm version](https://img.shields.io/npm/v/@thi.ng/distance-transform.svg)](https://www.npmjs.com/package/@thi.ng/distance-transform)\n![npm downloads](https://img.shields.io/npm/dm/@thi.ng/distance-transform.svg)\n[![Mastodon Follow](https://img.shields.io/mastodon/follow/109331703950160316?domain=https%3A%2F%2Fmastodon.thi.ng&style=social)](https://mastodon.thi.ng/@toxi)\n\n> [!NOTE]\n\n> This is one of 217 standalone projects. LLM-free, human-made and\n> cared for software, maintained as part of the\n> [@thi.ng/umbrella](https://codeberg.org/thi.ng/umbrella/) ecosystem and\n> anti-framework.\n>\n> 🚀 Please help me to work full-time on these projects by [sponsoring\n> me](https://codeberg.org/thi.ng/umbrella/src/branch/develop/CONTRIBUTING.md#donations).\n> Thank you! ❤️\n\n- [About](#about)\n- [Status](#status)\n- [Installation](#installation)\n- [Dependencies](#dependencies)\n- [API](#api)\n- [Authors](#authors)\n- [License](#license)\n\n## About\n\nBinary image to Distance Field transformation.\n\n![example distance field comparison for three different\nmetrics](https://codeberg.org/thi.ng/umbrella/media/branch/develop/assets/distance-transform/dt.png)\n\nThis package provides a function to transform a binary(-like) input grid/image\ninto a distance field using a provided distance metric (default: Eucledian). Any\nnon-zero values in the input grid are used as seed locations for the distance\nfield. The function returns a plain `Float32Array` of distance values. If\n`normalize` is > 0 (default: 1). The result values will be normalized to the\n`[0,normalize]` interval.\n\nBased on: [\"A general algorithm for computing Distance Transforms in linear\ntime\"](http://www.cs.rug.nl/~roe/publications/dt.pdf), A. Meijster, J.B.T.M.\nRoerdink and W.H. Hesselink\n\n![3d visualization](https://codeberg.org/thi.ng/umbrella/media/branch/develop/assets/distance-transform/dt3d.png)\n\nExample of distance maps being utilized for 3D surface detailing.<br/>\nImage credits: (c) 2017 Karsten Schmidt\n\n## Status\n\n**ALPHA** - bleeding edge / work-in-progress\n\n[Search or submit any issues for this package](https://codeberg.org/thi.ng/umbrella/issues?q=%5Bdistance-transform%5D)\n\n## Installation\n\n```bash\nyarn add @thi.ng/distance-transform\n```\n\nESM import:\n\n```ts\nimport * as dt from \"@thi.ng/distance-transform\";\n```\n\nBrowser ESM import:\n\n```html\n<script type=\"module\" src=\"https://esm.run/@thi.ng/distance-transform\"></script>\n```\n\n[JSDelivr documentation](https://www.jsdelivr.com/)\n\nFor Node.js REPL:\n\n```js\nconst dt = await import(\"@thi.ng/distance-transform\");\n```\n\nPackage sizes (brotli'd, pre-treeshake): ESM: 635 bytes\n\n## Dependencies\n\n- [@thi.ng/api](https://codeberg.org/thi.ng/umbrella/src/branch/develop/packages/api)\n\nNote: @thi.ng/api is in _most_ cases a type-only import (not used at runtime)\n\n## API\n\n[Generated API docs](https://docs.thi.ng/umbrella/distance-transform/)\n\nThis small example uses functionality from the\n[@thi.ng/pixel](https://codeberg.org/thi.ng/umbrella/src/branch/develop/packages/pixel)\nand\n[@thi.ng/random](https://codeberg.org/thi.ng/umbrella/src/branch/develop/packages/random)\npackages...\n\n```ts\nimport { pixelCanvas2d } from \"@thi.ng/canvas\";\nimport { distanceTransform } from \"@thi.ng/distance-transform\";\nimport { floatBuffer, intBuffer, GRAY8, FLOAT_GRAY } from \"@thi.ng/pixel\";\nimport { SYSTEM } from \"@thi.ng/random\";\n\n// create image with 100 random pixels set\nconst img = intBuffer(256, 256, GRAY8);\nfor(let i = 0; i < 100; i++) {\n  img.setAt(SYSTEM.int() % img.width, SYSTEM.int() % img.height, 255);\n}\n\n// compute distance field (aka voronoi)\nconst dt = distanceTransform(img, EUCLEDIAN);\n\n// wrap as float pixel buffer\nconst dtImg = floatBuffer(img.width, img.height, FLOAT_GRAY, dt);\n\n// ...and display (browser only)\nconst { canvas } = pixelCanvas2d(img.width, img.height, document.body);\ndtImg.blitCanvas(canvas);\n```\n\n## Authors\n\n- [Karsten Schmidt](https://thi.ng)\n\nIf this project contributes to an academic publication, please cite it as:\n\n```bibtex\n@misc{thing-distance-transform,\n  title = \"@thi.ng/distance-transform\",\n  author = \"Karsten Schmidt\",\n  note = \"https://thi.ng/distance-transform\",\n  year = 2021\n}\n```\n\n## License\n\n&copy; 2021 - 2026 Karsten Schmidt // Apache License 2.0\n","readmeFilename":"README.md"}