使用 GridJS 检测图像角点

[sneezry]

今天为大家带来的Demo不仅仅是图像滤镜处理，让我们来点和计算机视觉有关的，这也是我写GridJS的最初目的。

还不知道GridJS是什么的小伙伴们请看这里：http://v2ex.com/t/191612

原图：

检测角点结果（下面的图需要大家仔细看看，红点不是很明显，因为我偷懒只标了一个像素的尺寸）：

代码：

var canvas = document.getElementById('workplace');

gridjs.open('cube.jpg', function(im) {
  var H, corners, i;

  im.grayscale();
  H = harris(im.pixel.G);
  corners = getHarrisPoint(H, 0.015, 10);
  im.rgba();

  for (i = 0; i < corners.length; i++) {
    im.pixel.r[corners[i].y][corners[i].x] = 255;
    im.pixel.g[corners[i].y][corners[i].x] = 0;
    im.pixel.b[corners[i].y][corners[i].x] = 0;
  }

  im.update().show(canvas);
});

function harris(srcArray) {
  var imx, imy, wxx, wyy, wxy, wdet, wtr, H,
      g = gridjs;

      imx = g.gauss(srcArray, 5, 1, 0);
      imy = g.gauss(srcArray, 5, 1, 1);

      wxx = g.gauss(g.square(imx), 5);
      wyy = g.gauss(g.square(imy), 5);
      wxy = g.gauss(g.mul(imx, imy), 5);

      wdet = g.minus(g.mul(wxx, wyy), g.square(wxy));
      wtr = g.add(wxx, wyy);

      H = g.div(wdet, wtr, 0);

      g.norm(H);

      return H;
}

function getHarrisPoint(harrisArray, threshold, minDistance) {
  var x, y, i, j, distance2,
      minDistance2 = minDistance * minDistance,
      index = 0,
      width = harrisArray[0].length,
      height = harrisArray.length,
      points = [];

  for (y = 0; y < height; y++) {
    for (x = 0; x < width; x++) {
      if (harrisArray[y][x] >= threshold) {
        points[index++] = {
          'x' : x,
          'y' : y,
          'h' : harrisArray[y][x]
        }
      }
    }
  }

  points.sort(function(a, b) {
    return b.h - a.h;
  });

  for (i = 0; i < points.length; i++) {
    for (j = 0; j < i; j++) {
      distance2 = (points[i].x - points[j].x) * (points[i].x - points[j].x) +
                  (points[i].y - points[j].y) * (points[i].y - points[j].y);

      if (distance2 < minDistance2) {
        points.splice(i, 1);
        i--;
        break;
      }
    }
  }

  return points;
}

[turing]

Cool

[jimmy66]

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