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Node.js image color palette extraction with node-canvas

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Readme.md

Palette

Image color palette extraction with node-canvas for node.js

image color palette example

Installation

$ npm install palette

API

Palette's public API consists of a single function, the one returned by require(). This function accepts the canvas you wish to compute a color palette for, and an optional number of samples defaulting to 5.

The following example is taken from the ./test script, showing you how you may re-draw the palette onto the original canvas, however it is of course possible to save these values in a database etc.

var colors = palette(canvas, 10);
colors.forEach(function(color){
  var r = color[0]
    , g = color[1]
    , b = color[2]
    , val = r << 16 | g << 8 | b
    , str = '#' + val.toString(16);

  ctx.fillStyle = str;
  ctx.fillRect(x += 31, canvas.height - 40, 30, 30);
});

Running the examples

$ ./test examples/cat.jpg && open /tmp/out.png

Full example

This is the contents of ./test. The means of loading the image data and drawing it to the Canvas is up to you, they could be from a database, the file system, fetched from the web, however here we simply use img.src = path.

#!/usr/bin/env node

var palette = require('./')
  , fs = require('fs')
  , Canvas = require('canvas')
  , Image = Canvas.Image
  , canvas = new Canvas
  , ctx = canvas.getContext('2d')
  , path = process.argv[2]
  , out = '/tmp/out.png';

if (!path) {
  console.error('Usage: test <image>');
  process.exit(1);
}

var img = new Image;

img.onload = function(){
  canvas.width = img.width;
  canvas.height = img.height + 50;
  ctx.fillStyle = 'white';
  ctx.fillRect(0, 0, canvas.width, canvas.height);
  ctx.drawImage(img, 0, 0);
  paintPalette();
  save();
};

img.src = path;

function paintPalette() {
  var x = 0;
  var colors = palette(canvas);
  colors.forEach(function(color){
    var r = color[0]
      , g = color[1]
      , b = color[2]
      , val = r << 16 | g << 8 | b
      , str = '#' + val.toString(16);

    ctx.fillStyle = str;
    ctx.fillRect(x += 31, canvas.height - 40, 30, 30);
  });
}

function save() {
  fs.writeFile(out, canvas.toBuffer(), function(err){
    if (err) throw err;
    console.log('saved %s', out);
  });
}

Booyah

learnboost

License

(The MIT License)

Copyright (c) 2011 TJ Holowaychuk <tj@vision-media.ca>

Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the 'Software'), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED 'AS IS', WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.

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