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322 lines (253 loc) · 10.1 KB
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(function(exports) {
var Canvas = require('canvas-browserify');
var Image = Canvas.Image;
var ImageData = Canvas.ImageData;
var StackBlur = require('stackblur-canvas');
exports.parse = function(image, opts) {
var defaults = {
downscaledSize: 24,
// a canvas element
debug: false,
blur: 2,
brightness: 45,
contrast: 85,
chars: 0,
}
var options = {};
// merge defaults into options
for (var k in defaults) {
options[k] = opts[k] || defaults[k];
}
// if((image instanceof Image) || (image instanceof HTMLImageElement)) {
// var img = image;
// }
// else {
var img = new Image();
img.src = image;
// }
// Get imageData
c = new Canvas(img.width, img.height);
ctx = c.getContext("2d");
ctx.drawImage(img, 0, 0);
var imageData = ctx.getImageData(0,0, c.width,c.height);
// blur, greyscale, brightness/contrast, getTreshold, treshold, extract, downscale, forBrain
imageData = StackBlur.imageDataRGB(imageData, 0, 0, c.width, c.height, options.blur);
imageData = greyscale(imageData);
imageData = brightnessContrast(imageData, options.brightness, options.contrast);
options.threshold = calculateThreshold(imageData);
imageData = thresholder(imageData, options.threshold);
imageData = extract(imageData, options.chars); // returns an array;
if(options.debug) {
updateDebugCanvas(imageData);
}
imageData = downscale(imageData, options.downscaledSize); // returns an array
var forBrain = imageData.map(function(imgData) {
return formatForBrain(imgData)
});
return forBrain;
// Image processing functions
// greyscale
function greyscale(imageData) {
var px = imageData.data;
var len = px.length;
for (var i = 0; i < len; i+=4) {
var redPx = px[i];
var greenPx = px[i+1];
var bluePx = px[i+2];
var alphaPx = px[i+3];
var greyScale = redPx * .3 + greenPx * .59 + bluePx * .11;
px[i] = greyScale;
px[i+1] = greyScale;
px[i+2] = greyScale;
}
return imageData;
}
// calculate threshold
function calculateThreshold(imgData) {
var data = imgData.data;
var r,g,b,avg;
var colorSum = 0;
for(var x = 0, len = data.length; x < len; x+=4) {
r = data[x];
g = data[x+1];
b = data[x+2];
avg = Math.floor((r+g+b)/3);
colorSum += avg;
}
var brightness = Math.floor(colorSum / (imgData.width*imgData.height));
console.log("Brightness", brightness);
if(brightness > 105) { // was 150
brightness = brightness/1.2;
}
if(brightness <= 105) {
brightness = brightness/1.5;
}
if(brightness < 70) {
birghtness = brightness/2;
}
return brightness;
}
//brightness effect
// imageData, brightness [0-100], contrast [0-100]
function brightnessContrast(imageData, b, c) {
var data = imageData;//get pixel data
var pixels = data.data;
for(var i = 0; i < pixels.length; i+=4){//loop through all data
/*
pixels[i] is the red component
pixels[i+1] is the green component
pixels[i+2] is the blue component
pixels[i+3] is the alpha component
*/
pixels[i] += b;
pixels[i+1] += b;
pixels[i+2] += b;
var brightness = (pixels[i]+pixels[i+1]+pixels[i+2])/3; //get the brightness
pixels[i] += brightness > 127 ? c : -c;
pixels[i+1] += brightness > 127 ? c : -c;
pixels[i+2] += brightness > 127 ? c : -c;
}
data.data = pixels;
return data;
}
// Image reading
function thresholder(imgData, threshold) {
// for every pixels red channel value
for (var i = 0, j = imgData.data.length; i<j; i+=4) {
// threshold it
if (imgData.data[i] > threshold) {
imgData.data[i] = 0;
} else {
imgData.data[i] = 255;
}
}
return imgData;
}
function extract(imgData, chars) {
// For easy cropping
var c = new Canvas(img.width, img.height);
var ctx = this.c.getContext("2d");
ctx.putImageData(imgData, 0, 0);
var letters = [];
var letterRaw = [];
var currentLetter = {};
var foundLetter = false;
var pixelsInLetter = 0;
for (var x = 0, j = imgData.width; x < j; ++x) { // for every column
var foundLetterInColumn = false;
for (var y = 0, k = imgData.height; y < k; ++y) { // for every pixel
var pixIndex = (y*imgData.width+x)*4;
if (imgData.data[pixIndex] === 255) { // if we're dealing with a letter pixel
foundLetterInColumn = foundLetter = true;
pixelsInLetter++;
// set data for this letter
currentLetter.minX = Math.min(x, currentLetter.minX || Infinity);
currentLetter.maxX = Math.max(x, currentLetter.maxX || -1);
currentLetter.minY = Math.min(y, currentLetter.minY || Infinity);
currentLetter.maxY = Math.max(y, currentLetter.maxY || -1);
}
}
// if we've reached the end of this letter, push it to letters array
if (!foundLetterInColumn && foundLetter) {
// get letter pixels
if (pixelsInLetter > 200) {
letters.push(ctx.getImageData(
currentLetter.minX,
currentLetter.minY,
currentLetter.maxX - currentLetter.minX,
currentLetter.maxY - currentLetter.minY
));
letterRaw.push(currentLetter);
}
// reset
foundLetter = foundLetterInColumn = false;
currentLetter = {};
pixelsInLetter = 0;
}
}
if(letters.length > 0) {
if(chars && chars === 1) {
var maxX = -1;
var maxY = -1;
var minX = Infinity;
var minY = Infinity;
for(var i=0; i<letterRaw.length; i++) {
var l = letterRaw[i];
if(l.minX < minX) {
minX = l.minX;
}
if(l.minY < minY) {
minY = l.minY;
}
if(l.maxX > maxX) {
maxX = l.maxX;
}
if(l.maxY > maxY) {
maxY = l.maxY;
}
}
letters = [];
letters.push(ctx.getImageData(minX, minY, maxX-minX, maxY-minY));
}
}
return letters;
}
function downscale(imgDatas, size){
if(Array.isArray(imgDatas) && imgDatas.length === 0) {
return [];
}
if(!imgDatas.length) {
imgDatas = [imgDatas];
}
var letters = [];
for (var i = 0, j = imgDatas.length; i < j; ++i) {
var s = size,
imgData = imgDatas[i],
square = ctx.createImageData(s,s);
// square = new ImöageData(s, s);
// loop through every pixel in our small square
for (var x = 0; x < s; ++x) {
for (var y = 0; y < s; ++y) {
// find index in large imgData
var bigX = Math.floor(x/s * imgData.width),
bigY = Math.floor(y/s * imgData.height),
bigIndex = (bigY*imgData.width+bigX)*4,
index = (y*s+x)*4;
// set pixel in square to pixel in image data
square.data[index] = imgData.data[bigIndex];
// set alpha too, for display purposes
square.data[index+3] = 255;
}
}
letters.push(square);
}
return letters;
}
function formatForBrain(imgData) {
var outp = [];
for (var i = 0, j = imgData.data.length; i < j; i+=4) {
outp[i/4] = imgData.data[i] / 255;
}
return outp;
}
function updateDebugCanvas(imageData) {
var canvas = document.getElementById(options.debug);
var context = canvas.getContext('2d');
var maxW = -1;
var maxH = -1 ;
for(var i=0; i<imageData.length; i++) {
maxW += imageData[i].width;
if(imageData[i].height > maxH) {
maxH = imageData[i].height;
}
}
if(maxW > 0 && maxH > 0) {
canvas.width = maxW
canvas.height = maxH;
for(var i=0; i<imageData.length; i++) {
context.putImageData(imageData[i], 0,0);
}
}
}
}
}(typeof exports === 'undefined' ? this.parseImage = {} : exports));