<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>Image ApproxPolyDP Example</title>
<link href="js_example_style.css" rel="stylesheet" type="text/css" />
</head>
<body>
<h2>Image ApproxPolyDP Example</h2>
<p>
<canvas> 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 <textarea> 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 = cv.Mat.zeros(src.rows, src.cols, cv.CV_8UC3);
cv.cvtColor(src, src, cv.COLOR_RGBA2GRAY, 0);
cv.threshold(src, src, 100, 200, cv.THRESH_BINARY);
let contours = new cv.MatVector();
let hierarchy = new cv.Mat();
let poly = new cv.MatVector();
cv.findContours(src, contours, hierarchy, cv.RETR_CCOMP, cv.CHAIN_APPROX_SIMPLE);
// approximates each contour to polygon
for (let i = 0; i < contours.size(); ++i) {
let tmp = new cv.Mat();
let cnt = contours.get(i);
// You can try more different parameters
cv.approxPolyDP(cnt, tmp, 3, true);
poly.push_back(tmp);
cnt.delete(); tmp.delete();
}
// draw contours with random Scalar
for (let i = 0; i < contours.size(); ++i) {
let color = new cv.Scalar(Math.round(Math.random() * 255), Math.round(Math.random() * 255),
Math.round(Math.random() * 255));
cv.drawContours(dst, poly, i, color, 1, 8, hierarchy, 0);
}
cv.imshow('canvasOutput', dst);
src.delete(); dst.delete(); hierarchy.delete(); contours.delete(); poly.delete();
</script>
<script type="text/javascript">
let utils = new Utils('errorMessage');
utils.loadCode('codeSnippet', 'codeEditor');
utils.loadImageToCanvas('lena.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>