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<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>Fit Line Example</title>
<link href="js_example_style.css" rel="stylesheet" type="text/css" />
</head>
<body>
<h2>Fit Line 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, 177, 200, cv.THRESH_BINARY);
let contours = new cv.MatVector();
let hierarchy = new cv.Mat();
let line = new cv.Mat();
cv.findContours(src, contours, hierarchy, cv.RETR_CCOMP, cv.CHAIN_APPROX_SIMPLE);
let cnt = contours.get(0);
// You can try more different parameters
cv.fitLine(cnt, line, cv.DIST_L2, 0, 0.01, 0.01);
let contoursColor = new cv.Scalar(255, 255, 255);
let lineColor = new cv.Scalar(255, 0, 0);
cv.drawContours(dst, contours, 0, contoursColor, 1, 8, hierarchy, 100);
let vx = line.data32F[0];
let vy = line.data32F[1];
let x = line.data32F[2];
let y = line.data32F[3];
let lefty = Math.round((-x * vy / vx) + y);
let righty = Math.round(((src.cols - x) * vy / vx) + y);
let point1 = new cv.Point(src.cols - 1, righty);
let point2 = new cv.Point(0, lefty);
cv.line(dst, point1, point2, lineColor, 2, cv.LINE_AA, 0);
cv.imshow('canvasOutput', dst);
src.delete(); dst.delete(); contours.delete(); hierarchy.delete(); line.delete(); cnt.delete();
</script>
<script type="text/javascript">
let utils = new Utils('errorMessage');
utils.loadCode('codeSnippet', 'codeEditor');
utils.loadImageToCanvas('shape.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>