function computeAdaptiveThreshold(sourceImageData, ratio, callback) {
var integral = buildIntegral_Gray(sourceImageData);
var width = sourceImageData.width;
var height = sourceImageData.height;
var s = width >> 4; // in fact it's s/2, but since we never use s...
var sourceData = sourceImageData.data;
var result = createImageData(width, height);
var resultData = result.data;
var resultData32 = new Uint32Array(resultData.buffer);
var x = 0,
y = 0,
lineIndex = 0;
for (y = 0; y < height; y++, lineIndex += width) {
for (x = 0; x < width; x++) {
var value = sourceData[(lineIndex + x) << 2];
var x1 = Math.max(x - s, 0);
var y1 = Math.max(y - s, 0);
var x2 = Math.min(x + s, width - 1);
var y2 = Math.min(y + s, height - 1);
var area = (x2 - x1 + 1) * (y2 - y1 + 1);
var localIntegral = getIntegralAt(integral, width, x1, y1, x2, y2);
if (value * area > localIntegral * ratio) {
resultData32[lineIndex + x] = 0xFFFFFFFF;
} else {
resultData32[lineIndex + x] = 0xFF000000;
}
}
}
return result;
}
function createImageData(width, height) {
var canvas = document.createElement('canvas');
return canvas.getContext('2d').createImageData(width, height);
}
function buildIntegral_Gray(sourceImageData) {
var sourceData = sourceImageData.data;
var width = sourceImageData.width;
var height = sourceImageData.height;
// should it be Int64 Array ??
// Sure for big images
var integral = new Int32Array(width * height)
// ... for loop
var x = 0,
y = 0,
lineIndex = 0,
sum = 0;
for (x = 0; x < width; x++) {
sum += sourceData[x << 2];
integral[x] = sum;
}
for (y = 1, lineIndex = width; y < height; y++, lineIndex += width) {
sum = 0;
for (x = 0; x < width;...
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