Files
color-thief/js/color-thief.js
Lokesh Dhakar d3800d634d Drag-n-drop support+. Thanks nspady.
- Updated to higher res demo images.
- Split template into two.
- Style clean up in color-thief.js
2013-06-23 12:33:07 -07:00

119 lines
3.3 KiB
JavaScript

/*
* Color Thief v1.0
* by Lokesh Dhakar - http://www.lokeshdhakar.com
*
* License
* -------
* Creative Commons Attribution 2.5 License:
* http://creativecommons.org/licenses/by/2.5/
*
* Thanks
* ------
* Nick Rabinowitz - For creating quantize.js.
* John Schulz - For clean up and optimization. @JFSIII
* Nathan Spady - For adding drag and drop support to the demo page.
*
* Requires jquery and quantize.js.
*/
/*
CanvasImage Class
Class that wraps the html image element and canvas.
It also simplifies some of the canvas context manipulation
with a set of helper functions.
*/
var CanvasImage = function (image) {
// If jquery object is passed in, get html element
imgEl = (image.jquery) ? image[0] : image;
this.canvas = document.createElement('canvas');
this.context = this.canvas.getContext('2d');
document.body.appendChild(this.canvas);
this.width = this.canvas.width = imgEl.width;
this.height = this.canvas.height = imgEl.height;
this.context.drawImage(imgEl, 0, 0, this.width, this.height);
};
CanvasImage.prototype.clear = function () {
this.context.clearRect(0, 0, this.width, this.height);
};
CanvasImage.prototype.update = function (imageData) {
this.context.putImageData(imageData, 0, 0);
};
CanvasImage.prototype.getPixelCount = function () {
return this.width * this.height;
};
CanvasImage.prototype.getImageData = function () {
return this.context.getImageData(0, 0, this.width, this.height);
};
CanvasImage.prototype.removeCanvas = function () {
$(this.canvas).remove();
};
var ColorThief = function () {};
/*
* getColor(sourceImage)
* returns {r: num, g: num, b: num}
*
* Use the median cut algorithm provided by quantize.js to cluster similar
* colors and return the base color from the largest cluster. */
ColorThief.prototype.getColor = function(sourceImage) {
var palette = this.getPalette(sourceImage, 5);
var dominantColor = palette[0];
return dominantColor;
};
/*
* createPalette(sourceImage, colorCount)
* returns array[ {r: num, g: num, b: num}, {r: num, g: num, b: num}, ...]
*
* Use the median cut algorithm provided by quantize.js to cluster similar
* colors.
*
* BUGGY: Function does not always return the requested amount of colors. It can be +/- 2.
*/
ColorThief.prototype.getPalette = function(sourceImage, colorCount) {
// Create custom CanvasImage object
var image = new CanvasImage(sourceImage);
var imageData = image.getImageData();
var pixels = imageData.data;
var pixelCount = image.getPixelCount();
// Store the RGB values in an array format suitable for quantize function
var pixelArray = [];
for (var i = 0, offset, r, g, b, a; i < pixelCount; i++) {
offset = i * 4;
r = pixels[offset + 0];
g = pixels[offset + 1];
b = pixels[offset + 2];
a = pixels[offset + 3];
// If pixel is mostly opaque and not white
if (a >= 125) {
if (!(r > 250 && g > 250 && b > 250)) {
pixelArray.push([r, g, b]);
}
}
}
// Send array to quantize function which clusters values
// using median cut algorithm
var cmap = MMCQ.quantize(pixelArray, colorCount);
var palette = cmap.palette();
// Clean up
image.removeCanvas();
return palette;
}