convolution-demo/convolution.html at master · study-ml/convolution-demo · GitHub

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<!DOCTYPE HTML>
<html>
<head>
  <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/css/bootstrap.min.css">
  <script src="https://ajax.googleapis.com/ajax/libs/jquery/3.3.1/jquery.min.js"></script>
  <script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.3.7/js/bootstrap.min.js"></script>
</head>
<body>
  <div class="container-fluid">
    <div class="row">
      <div class="col-md-9">
        <label for="imgs">Choose an image: </label>
        <select name="imgs" id="imgs" onchange="loadImage2Canvas();">
          <option value="Baboon">Baboon</option>
          <option value="Barbara">Barbara</option>
          <option value="Boat">Boat</option>
          <option value="F-16">F-16</option>
          <option value="Goldhill">Goldhill</option>
          <option value="Lena" selected>Lena</option>
          <option value="Peppers">Peppers</option>
          <option value="Remote">Remote</option>
        </select>
        <br>
        <!-- <p>Open image: <input class="form-control" type="file" id="inputImage"/></p> -->
        <canvas id="ori" width="512" height="512" style="border:1px solid #000000;"></canvas>
        <canvas id="tar" width="512" height="512" style="border:1px solid #000000;"></canvas>
      </div>
      <div class="col-md-3">
        <table id="xy">
          <tr>
            <td>X:</td><td id="x"></td>
            <td>Y:</td><td id="y"></td>
          </tr>
        </table>
        <hr>
        <label for="dataOri">Original: </label>
        <table id="dataOri">
        </table>
        <hr>
        <label for="dataTar">Target: </label>
        <table id="dataTar">
        </table>
        <hr>
        <label for="filter">Filter:</label>
        <table id="filter" border="1">
          <tr>
            <td><input id="f00" type="text" style="width:28px" value="1"></td>
            <td><input id="f01" type="text" style="width:28px" value="1"></td>
            <td><input id="f02" type="text" style="width:28px" value="1"></td>
          </tr>
          <tr>
            <td><input id="f10" type="text" style="width:28px" value="0"></td>
            <td><input id="f11" type="text" style="width:28px" value="0"></td>
            <td><input id="f12" type="text" style="width:28px" value="0"></td>
          </tr>
          <tr>
            <td><input id="f20" type="text" style="width:28px" value="-1"></td>
            <td><input id="f21" type="text" style="width:28px" value="-1"></td>
            <td><input id="f22" type="text" style="width:28px" value="-1"></td>
          </tr>
        </table>
        <button type="button" class="btn btn-success" onclick="doImageProcessing();">Apply Filter</button>
      </div>
    </div>
  </div>
  <script>
    var URL = window.URL;
    var cvsOri = $('#ori').get(0);
    var ctxOri = cvsOri.getContext('2d');
    var cvsTar = $('#tar').get(0);
    var ctxTar = cvsTar.getContext('2d');

    cvsOri.addEventListener('mousemove', mousePos, false);
    cvsTar.addEventListener('mousemove', mousePos, false);

    window.onload = function() {
      // $('#inputImage').get(0).addEventListener('change', handleImageFiles, false);
      loadImage2Canvas();
    }

    function mousePos(evt) {
      const rect = (this.id == "ori") ? cvsOri.getBoundingClientRect() : cvsTar.getBoundingClientRect();

      var x = parseInt(evt.clientX - rect.left);
      var y = parseInt(evt.clientY - rect.top);

      $("#x").text(x);
      $("#y").text(y);

      const size = 9;
      // console.log(parseInt(size/2));

      // p[0]: r, p[1]: g, p[2]: b, p[3]: a
      const p = ctxOri.getImageData(
        x - parseInt(size/2),
        y - parseInt(size/2),
        size,
        size).data;
      const q = ctxTar.getImageData(
        x - parseInt(size/2),
        y - parseInt(size/2),
        size,
        size).data;

      var oriHtml = "";
      var tarHtml = "";
      for (var i=0; i < p.length; i+=4) {
        const idx = parseInt(i / 4);

        const pValue = p[i];
        const qValue = q[i];
        const x = idx % size;
        const y = parseInt(idx / size);

        if (x == 0) {
          oriHtml += "<tr>";
          tarHtml += "<tr>";
        }

        oriHtml += `<td align='center' width='28' height='28' style='color: red; background-color: rgb(${pValue}, ${pValue}, ${pValue});'>${pValue.toString()}</td>`;
        tarHtml += `<td align='center' width='28' height='28' style='color: red; background-color: rgb(${qValue}, ${qValue}, ${qValue});'>${qValue.toString()}</td>`;

        if (x == size-1) {
          oriHtml += "</tr>";
          tarHtml += "</tr>";
        }
      }

      $("#dataOri").html(oriHtml);
      $("#dataTar").html(tarHtml);

      return {x, y};
    }

    // automatically load image into canvas...
    function handleImageFiles(e) {
      var url = URL.createObjectURL(e.target.files[0]);
      var img = new Image();
      img.onload = function() {
        cvsOri.width = img.width;
        cvsOri.height = img.height;
        ctxOri.drawImage(img, 0, 0);
      }
      img.src = url;
    }

    async function loadImage2Canvas() {
      let img = await loadImage(`./images/${$("#imgs").val()}.bmp`);
      cvsOri.width = img.width;
      cvsOri.height = img.height;
      ctxOri.drawImage(img, 0, 0);
    }

    function loadImage(url) {
      return new Promise(r => { let i = new Image(); i.onload = (() => r(i)); i.src = url; });
    }

    function doImageProcessing() {
      const filter = [
        [parseFloat($("#f00").val()), parseFloat($("#f01").val()), parseFloat($("#f02").val())],
        [parseFloat($("#f10").val()), parseFloat($("#f11").val()), parseFloat($("#f12").val())],
        [parseFloat($("#f20").val()), parseFloat($("#f21").val()), parseFloat($("#f22").val())]
      ];

      const size = 512;
      var imgData = ctxOri.getImageData(0, 0, cvsOri.width, cvsOri.height);
      var tmp = [...Array(size)].map(x=>Array(size).fill(0.0));

      for (var i = 0; i < imgData.data.length; i += 4) {
        const idx = parseInt(i / 4);
        const x = idx % size;
        const y = parseInt(idx / size);

        tmp[x][y] = imgData.data[i];
      }

      for (var x = 0; x < size; x++) {
        for (var y = 0; y < size; y++) {
          var sum = 0.0;
          for (var i = 0; i < 3; i++) {
            for (var j = 0; j < 3; j++) {
              var tx = x + i - 1;
              var ty = y + j - 1;

              tx = (tx < 0) ? 0: tx;
              ty = (ty < 0) ? 0: ty;
              tx = (tx >= size) ? size-1: tx;
              ty = (ty >= size) ? size-1: ty;

              var current = tmp[tx][ty];
              sum += parseFloat(current) * filter[i][j];
            }
          }

          const idx = (y*size + x) * 4;
          imgData.data[idx] = sum;
          imgData.data[idx+1] = sum;
          imgData.data[idx+2] = sum;
        }

        ctxTar.putImageData(imgData, 0, 0, 0, 0, cvsOri.width, cvsOri.height);
      }
    }
  </script>
</body>
</html>