surfaceaugmenter/SobelOperatorDemo.html at master · wizard23/surfaceaugmenter · GitHub

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<html>
<head>
<title>Sobel Operator Demo by wizard23</title>
<style> </style>

<script type="text/javascript" src="src/image.js"></script>
<script type="text/javascript" src="src/helpers.js"></script>
<script type="text/javascript" src="libs/pixastic/pixastic.core.js"></script>
<script type="text/javascript" src="libs/pixastic/actions/histogram.js"></script>
<script type="text/javascript">

var img;
var imgWidth, imgHeight;

var imgScale = 1.0;
var points = [];
var pixels, bwPixels;

function setup()
{
	document.getElementById('imageFile').addEventListener('change', handleImageSelect, false);
	document.getElementById('canvas').addEventListener('click', handleCanvasClick, false);

	// enable dnd on canvas to load images
	var holder = document.getElementById('canvas');
	holder.ondragover = function () { this.className = 'hover'; return false; };
	holder.ondragend = function () { this.className = ''; return false; };
	holder.ondrop = function (e) {
		this.className = '';  // what for?
		e.preventDefault();
		var file = e.dataTransfer.files[0];
		asyncLoadImageFromFile(file);
	};


	asyncLoadImageFromURL("test1.png");
}

function handleImageSelect(evt) {
	pixels = undefined;
	var files = evt.target.files; // FileList object
	var file = files[0];
	asyncLoadImageFromFile(file);
}

function handleCanvasClick(evt) {
	var canvas = document.getElementById('canvas');
	var context = canvas.getContext('2d');

	if (!pixels) {
		pixels = context.getImageData(0,0, canvas.width, canvas.height);
		bwPixels = RGBA2A(pixels, context);
	}

	var coords = canvas.relMouseCoords(event);
	var x = coords.x/imgScale;
	var y = coords.y/imgScale;

	if (x >= 0 && x < imgWidth && y >= 0 && y < imgHeight)
		points.push([x, y]);

	context.beginPath();
	context.arc(x, y, 3, 0, Math.PI*2, true);
	context.closePath();
	context.fill();

	if (points.length == 2)
	{
		var sum = 0;
		var n = 0;
		var w = bwPixels.width;

		xiaolinWuLineIterator(points[0][0],points[0][1], points[1][0], points[1][1], function(x, y, c) {
			n += c;
			sum += c* bwPixels.data[x+w*y];
			pixels.data[4*(x+w*y)] = (1-c) * pixels.data[4*(x+w*y)] + c * 0;
			pixels.data[4*(x+w*y)+1] = (1-c) * pixels.data[4*(x+w*y)+1] + c * 0;
			pixels.data[4*(x+w*y)+2] = (1-c) * pixels.data[4*(x+w*y)+2] + c * 0;
			//pixels.data[4*(x+w*y)+3] = 255;
		});
		//alert("s: " + sum + " n: " + n + " avg: " + (sum/n));

		/*
		lineIterator(points[0][0],points[0][1], points[1][0], points[1][1], function(x, y) {
			n++;
			sum += bwPixels[x+w*y];
			pixels.data[4*(x+w*y)] = 255 - pixels.data[4*(x+w*y)];
			pixels.data[4*(x+w*y)+1] = 255 - pixels.data[4*(x+w*y)+1];
			pixels.data[4*(x+w*y)+2] = 255 - pixels.data[4*(x+w*y)+2];
		});
		//*/
		//alert("s: " + sum + " n: " + n + " " + (sum/n));

		context.putImageData(pixels, 0, 0);

		//document.getElementById('outputText').value = "convert ..\\..\\web\\" + fileName + " -virtual-pixel transparent -distort Perspective \"" + s + "\" " + fileName + "out.png";
		//handleLoad(img);
		points = [];
	}
}

function drawImage(img) {
	var canvas = document.getElementById('canvas');

	canvas.width = img.width;
	canvas.height = img.height;
	imgWidth = img.width;
	imgHeight = img.height;

	var context = canvas.getContext('2d');
	context.drawImage(img, 0, 0, img.width, img.height);


}

function scaleImage(scale)
{
	imgScale *= scale;
	var canvas = document.getElementById('canvas');
	canvas.style.width = "" + (imgWidth*imgScale) +"px";
	canvas.style.height = "" + (imgHeight*imgScale) +"px";
	//
	//canvas.height = imgHeight;
}

var hist = {};
function handleTestClick()
{
	var canvas = document.getElementById('canvas');
	var context = canvas.getContext('2d');

	//var pixels = context.getImageData(110,110,120,120);
	var pixels = context.getImageData(0,0, canvas.width, canvas.height);

	var bwPixels = RGBA2A(pixels, context);
	var bwPixelsSobolev = RGBA2A(pixels, context);


	var x, y;

	applyKernelAlphaOnPixels(bwPixels, dxx, dyy, bwPixelsSobolev)

	var grayPixels = A2RGBA(bwPixelsSobolev, context);
	context.putImageData(grayPixels, 0,0);


	return;

	Pixastic.process(document.getElementById("canvas"), "histogram", {
		average : false, paint:true,color:"rgba(255,255,255,0.5)",returnValue:hist
	});
	document.getElementById('debugText').value = hist.values;
}


function xffdlj() {

	//pixels = context.getImageData(0,0, canvas.width, canvas.height);
	//bwPixels = RGBA2A(pixels, context);
	// applyKernelAlpha(pixels, kernel, x, y)
}

</script>


</head>
<body onload="setup()">

<form name="controls" action="">
	<input type="file" value="imageFile" id="imageFile" />
	<input type="button" value="scale/1.2" onclick="scaleImage(1/1.2);"><input type="button" value="scale*1.2" onclick="scaleImage(1.2);">
	<input type="button" value="Apply Sobel Operator" onclick="handleTestClick();">
</form>

<canvas id="canvas" width="400" height="300"></canvas>

</body>
</html>