op HoughCircles

Detect circle(s) of given range in diameter within image using Hough transform (http://docs.opencv.org/doc/tutorials/imgproc/imgtrans/hough_circle/hough_circle.html).

Pipeline

 {"op":"HoughCircles", "diamMin":22.6, "diamMax":29.9, "show":1}

• diamMin minimum diameter in pixels
• diamMax maximum diameter in pixels
• show update working image and 0:do not show detected circles; 1:show detected circles;

Stage Model

    "circles":[
      {
        "x":404.5,
        "y":49.5,
        "radius":13.209844589233398
      },
      {
        "x":619.5,
        "y":57.5,
        "radius":13.656499862670898
      },
      {
        "x":512.5,
        "y":54.5,
        "radius":12.747549057006836
      },
      {
        "x":191.5,
        "y":43.5,
        "radius":14.159802436828613
      },
      {
        "x":84.5,
        "y":37.5,
        "radius":14.508618354797363
      },
      {
        "x":298.5,
        "y":45.5,
        "radius":13.509256362915039
      }
    ]

• circles array of JSON objects. each describing a circle
• x x coordinate of the circle center [px]
• y y coordinate of the circle center [px]
• radius radius of the circle [px]

Example

firesight -i img/cam.jpg -p json/HoughCircles.json

Output image target/HoughCircles.jpg