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readme.md

bitmap-sdf unstable

Calculate signed distance field for an image / bw-data. Fork of tiny-sdf with reduced API.

bitmap-sdf

Demo

Usage

npm install bitmap-sdf

let calcSdf = requrie('bitmap-sdf')

//draw image
let canvas = document.body.appendChild(document.createElement('canvas'))
let w = canvas.width = 200, h = canvas.height = 200
let ctx = canvas.getContext('2d')
ctx.fillStyle = 'white'
ctx.font = 'bold 30px sans-serif'
ctx.fillText('X', 20, 20)

//calculate distances
let distances = calcSdf(canvas)

//show distances
let imgArr = new Uint8ClampedArray(w*h*4)
for (let i = 0; i < w; i++) {
    for (let j = 0; j < h; j++) {
        imgArr[j*w*4 + i*4 + 0] = arr[j*w+i]*255
        imgArr[j*w*4 + i*4 + 1] = arr[j*w+i]*255
        imgArr[j*w*4 + i*4 + 2] = arr[j*w+i]*255
        imgArr[j*w*4 + i*4 + 3] = 255
    }
}
var data = new ImageData(imgArr, w, h)
ctx.putImageData(data, 0, 0)

dist = calcSdf(source, options?)

Calculate distance field for the input source data, based on options. Returns 1-channel array with distance values from 0..1 range.

Source:

Type Meaning
Canvas, Context2D Calculates sdf for the full canvas image data based on options.channel, by default 0, ie. red channel.
ImageData Calculates sdf for the image data based on options.channel
Uint8ClampedArray, Uint8Array Handles raw pixel data, requires options.width and options.height. Stride is detected from width and height.
Float32Array, Array Handles raw numbers from 0..1 range, requires options.width and options.height. Stride is detected from width and height.

Options:

Property Default Meaning
cutoff 0.25 Cutoff parameter, balance between SDF inside 1 and outside 0 of glyph
radius 10 Max length of SDF, ie. the size of SDF around the cutoff
width canvas.width Width of input data, if array
height canvas.height Height of input data, if array
channel 0 Channel number, 0 is red, 1 is green, 2 is blue, 3 is alpha.
stride null Explicitly indicate number of channels per pixel. Not needed if height and width are provided.

See also

License

(c) 2017 Dima Yv. MIT License

Development supported by plot.ly.