luoyc
/
OpenCV


			
				
					
						
						
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							<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>Image Watershed Example</title>
<link href="js_example_style.css" rel="stylesheet" type="text/css" />
</head>
<body>
<h2>Image Watershed Example</h2>
<p>
    &lt;canvas&gt; elements named <b>canvasInput</b> and <b>canvasOutput</b> have been prepared.<br>
    Click <b>Try it</b> button to see the result. You can choose another image.<br>
    You can change the code in the &lt;textarea&gt; to investigate more.
</p>
<div>
<div class="control"><button id="tryIt" disabled>Try it</button></div>
<textarea class="code" rows="9" cols="100" id="codeEditor" spellcheck="false">
</textarea>
<p class="err" id="errorMessage"></p>
</div>
<div>
    <table cellpadding="0" cellspacing="0" width="0" border="0">
    <tr>
        <td>
            <canvas id="canvasInput"></canvas>
        </td>
        <td>
            <canvas id="canvasOutput"></canvas>
        </td>
    </tr>
    <tr>
        <td>
            <div class="caption">canvasInput <input type="file" id="fileInput" name="file" accept="image/*" /></div>
        </td>
        <td>
            <div class="caption">canvasOutput</div>
        </td>
    </tr>
    </table>
</div>
<script src="utils.js" type="text/javascript"></script>
<script id="codeSnippet" type="text/code-snippet">
let src = cv.imread('canvasInput');
let dst = new cv.Mat();
let gray = new cv.Mat();
let opening = new cv.Mat();
let coinsBg = new cv.Mat();
let coinsFg = new cv.Mat();
let distTrans = new cv.Mat();
let unknown = new cv.Mat();
let markers = new cv.Mat();
// gray and threshold image
cv.cvtColor(src, gray, cv.COLOR_RGBA2GRAY, 0);
cv.threshold(gray, gray, 0, 255, cv.THRESH_BINARY_INV + cv.THRESH_OTSU);
// get background
let M = cv.Mat.ones(3, 3, cv.CV_8U);
cv.erode(gray, gray, M);
cv.dilate(gray, opening, M);
cv.dilate(opening, coinsBg, M, new cv.Point(-1, -1), 3);
// distance transform
cv.distanceTransform(opening, distTrans, cv.DIST_L2, 5);
cv.normalize(distTrans, distTrans, 1, 0, cv.NORM_INF);
// get foreground
cv.threshold(distTrans, coinsFg, 0.7 * 1, 255, cv.THRESH_BINARY);
coinsFg.convertTo(coinsFg, cv.CV_8U, 1, 0);
cv.subtract(coinsBg, coinsFg, unknown);
// get connected components markers
cv.connectedComponents(coinsFg, markers);
for (let i = 0; i < markers.rows; i++) {
    for (let j = 0; j < markers.cols; j++) {
        markers.intPtr(i, j)[0] = markers.ucharPtr(i, j)[0] + 1;
        if (unknown.ucharPtr(i, j)[0] == 255) {
            markers.intPtr(i, j)[0] = 0;
        }
    }
}
cv.cvtColor(src, src, cv.COLOR_RGBA2RGB, 0);
cv.watershed(src, markers);
// draw barriers
for (let i = 0; i < markers.rows; i++) {
    for (let j = 0; j < markers.cols; j++) {
        if (markers.intPtr(i, j)[0] == -1) {
            src.ucharPtr(i, j)[0] = 255; // R
            src.ucharPtr(i, j)[1] = 0; // G
            src.ucharPtr(i, j)[2] = 0; // B
        }
    }
}
cv.imshow('canvasOutput', src);
src.delete(); dst.delete(); gray.delete(); opening.delete(); coinsBg.delete();
coinsFg.delete(); distTrans.delete(); unknown.delete(); markers.delete(); M.delete();
</script>
<script type="text/javascript">
let utils = new Utils('errorMessage');

utils.loadCode('codeSnippet', 'codeEditor');
utils.loadImageToCanvas('coins.jpg', 'canvasInput');
utils.addFileInputHandler('fileInput', 'canvasInput');

let tryIt = document.getElementById('tryIt');
tryIt.addEventListener('click', () => {
    utils.executeCode('codeEditor');
});

utils.loadOpenCv(() => {
    tryIt.removeAttribute('disabled');
});
</script>
</body>
</html>