'use strict' module.exports = calcSDF var INF = 1e20 function calcSDF(src, options) { if (!options) options = {} var cutoff = options.cutoff == null ? 0.25 : options.cutoff var radius = options.radius == null ? 8 : options.radius var channel = options.channel || 0 var w, h, size, data, intData, stride, ctx, canvas, imgData, i, l // handle image container if (ArrayBuffer.isView(src) || Array.isArray(src)) { if (!options.width || !options.height) throw Error('For raw data width and height should be provided by options') w = options.width, h = options.height data = src if (!options.stride) stride = Math.floor(src.length / w / h) else stride = options.stride } else { if (window.HTMLCanvasElement && src instanceof window.HTMLCanvasElement) { canvas = src ctx = canvas.getContext('2d') w = canvas.width, h = canvas.height imgData = ctx.getImageData(0, 0, w, h) data = imgData.data stride = 4 } else if (window.CanvasRenderingContext2D && src instanceof window.CanvasRenderingContext2D) { canvas = src.canvas ctx = src w = canvas.width, h = canvas.height imgData = ctx.getImageData(0, 0, w, h) data = imgData.data stride = 4 } else if (window.ImageData && src instanceof window.ImageData) { imgData = src w = src.width, h = src.height data = imgData.data stride = 4 } } size = Math.max(w, h) //convert int data to floats if ((window.Uint8ClampedArray && data instanceof window.Uint8ClampedArray) || (window.Uint8Array && data instanceof window.Uint8Array)) { intData = data data = Array(w*h) for (i = 0, l = Math.floor(intData.length / stride); i < l; i++) { data[i] = intData[i*stride + channel] / 255 } } else { if (stride !== 1) throw Error('Raw data can have only 1 value per pixel') } // temporary arrays for the distance transform var gridOuter = Array(w * h) var gridInner = Array(w * h) var f = Array(size) var d = Array(size) var z = Array(size + 1) var v = Array(size) for (i = 0, l = w * h; i < l; i++) { var a = data[i] gridOuter[i] = a === 1 ? 0 : a === 0 ? INF : Math.pow(Math.max(0, 0.5 - a), 2) gridInner[i] = a === 1 ? INF : a === 0 ? 0 : Math.pow(Math.max(0, a - 0.5), 2) } edt(gridOuter, w, h, f, d, v, z) edt(gridInner, w, h, f, d, v, z) var dist = window.Float32Array ? new Float32Array(w * h) : new Array(w * h) for (i = 0, l = w*h; i < l; i++) { dist[i] = Math.min(Math.max(1 - ( (gridOuter[i] - gridInner[i]) / radius + cutoff), 0), 1) } return dist } // 2D Euclidean distance transform by Felzenszwalb & Huttenlocher https://cs.brown.edu/~pff/dt/ function edt(data, width, height, f, d, v, z) { for (var x = 0; x < width; x++) { for (var y = 0; y < height; y++) { f[y] = data[y * width + x] } edt1d(f, d, v, z, height) for (y = 0; y < height; y++) { data[y * width + x] = d[y] } } for (y = 0; y < height; y++) { for (x = 0; x < width; x++) { f[x] = data[y * width + x] } edt1d(f, d, v, z, width) for (x = 0; x < width; x++) { data[y * width + x] = Math.sqrt(d[x]) } } } // 1D squared distance transform function edt1d(f, d, v, z, n) { v[0] = 0; z[0] = -INF z[1] = +INF for (var q = 1, k = 0; q < n; q++) { var s = ((f[q] + q * q) - (f[v[k]] + v[k] * v[k])) / (2 * q - 2 * v[k]) while (s <= z[k]) { k-- s = ((f[q] + q * q) - (f[v[k]] + v[k] * v[k])) / (2 * q - 2 * v[k]) } k++ v[k] = q z[k] = s z[k + 1] = +INF } for (q = 0, k = 0; q < n; q++) { while (z[k + 1] < q) k++ d[q] = (q - v[k]) * (q - v[k]) + f[v[k]] } }