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https://gitcode.com/gh_mirrors/es/esp32-opencv.git
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111 lines
3.5 KiB
HTML
111 lines
3.5 KiB
HTML
<!DOCTYPE html>
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<html>
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<head>
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<meta charset="utf-8">
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<title>Image Watershed Example</title>
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<link href="js_example_style.css" rel="stylesheet" type="text/css" />
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</head>
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<body>
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<h2>Image Watershed Example</h2>
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<p>
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<canvas> elements named <b>canvasInput</b> and <b>canvasOutput</b> have been prepared.<br>
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Click <b>Try it</b> button to see the result. You can choose another image.<br>
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You can change the code in the <textarea> to investigate more.
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</p>
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<div>
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<div class="control"><button id="tryIt" disabled>Try it</button></div>
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<textarea class="code" rows="9" cols="100" id="codeEditor" spellcheck="false">
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</textarea>
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<p class="err" id="errorMessage"></p>
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</div>
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<div>
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<table cellpadding="0" cellspacing="0" width="0" border="0">
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<tr>
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<td>
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<canvas id="canvasInput"></canvas>
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</td>
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<td>
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<canvas id="canvasOutput"></canvas>
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</td>
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</tr>
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<tr>
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<td>
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<div class="caption">canvasInput <input type="file" id="fileInput" name="file" accept="image/*" /></div>
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</td>
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<td>
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<div class="caption">canvasOutput</div>
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</td>
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</tr>
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</table>
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</div>
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<script src="utils.js" type="text/javascript"></script>
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<script id="codeSnippet" type="text/code-snippet">
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let src = cv.imread('canvasInput');
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let dst = new cv.Mat();
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let gray = new cv.Mat();
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let opening = new cv.Mat();
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let coinsBg = new cv.Mat();
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let coinsFg = new cv.Mat();
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let distTrans = new cv.Mat();
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let unknown = new cv.Mat();
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let markers = new cv.Mat();
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// gray and threshold image
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cv.cvtColor(src, gray, cv.COLOR_RGBA2GRAY, 0);
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cv.threshold(gray, gray, 0, 255, cv.THRESH_BINARY_INV + cv.THRESH_OTSU);
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// get background
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let M = cv.Mat.ones(3, 3, cv.CV_8U);
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cv.erode(gray, gray, M);
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cv.dilate(gray, opening, M);
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cv.dilate(opening, coinsBg, M, new cv.Point(-1, -1), 3);
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// distance transform
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cv.distanceTransform(opening, distTrans, cv.DIST_L2, 5);
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cv.normalize(distTrans, distTrans, 1, 0, cv.NORM_INF);
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// get foreground
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cv.threshold(distTrans, coinsFg, 0.7 * 1, 255, cv.THRESH_BINARY);
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coinsFg.convertTo(coinsFg, cv.CV_8U, 1, 0);
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cv.subtract(coinsBg, coinsFg, unknown);
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// get connected components markers
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cv.connectedComponents(coinsFg, markers);
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for (let i = 0; i < markers.rows; i++) {
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for (let j = 0; j < markers.cols; j++) {
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markers.intPtr(i, j)[0] = markers.ucharPtr(i, j)[0] + 1;
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if (unknown.ucharPtr(i, j)[0] == 255) {
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markers.intPtr(i, j)[0] = 0;
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}
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}
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}
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cv.cvtColor(src, src, cv.COLOR_RGBA2RGB, 0);
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cv.watershed(src, markers);
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// draw barriers
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for (let i = 0; i < markers.rows; i++) {
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for (let j = 0; j < markers.cols; j++) {
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if (markers.intPtr(i, j)[0] == -1) {
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src.ucharPtr(i, j)[0] = 255; // R
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src.ucharPtr(i, j)[1] = 0; // G
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src.ucharPtr(i, j)[2] = 0; // B
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}
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}
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}
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cv.imshow('canvasOutput', src);
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src.delete(); dst.delete(); gray.delete(); opening.delete(); coinsBg.delete();
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coinsFg.delete(); distTrans.delete(); unknown.delete(); markers.delete(); M.delete();
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</script>
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<script type="text/javascript">
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let utils = new Utils('errorMessage');
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utils.loadCode('codeSnippet', 'codeEditor');
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utils.loadImageToCanvas('coins.jpg', 'canvasInput');
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utils.addFileInputHandler('fileInput', 'canvasInput');
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let tryIt = document.getElementById('tryIt');
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tryIt.addEventListener('click', () => {
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utils.executeCode('codeEditor');
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});
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utils.loadOpenCv(() => {
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tryIt.removeAttribute('disabled');
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});
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</script>
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</body>
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</html>
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