op HoleRecognizer

Recognize holes(s) of given range in diameter within image using amended MSER algorithm.

Pipeline

 {"op":"HoleRecognizer", "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 recognized holes; 1:show MSER hole candidates (see below); 2:show matched holes only (fuchsia)

Stage Model

    "holes":[
      {
        "xmin":608,
        "xmax":632,
        "xavg":619.8985595703125,
        "ymin":45,
        "ymax":69,
        "yavg":57.265720367431641,
        "pts":493,
        "ellipse":490.87387084960938,
        "covar":0.671875
      },
      {
        "xmin":180,
        "xmax":205,
        "xavg":192.58755493164062,
        "ymin":30,
        "ymax":55,
        "yavg":42.214008331298828,
        "pts":514,
        "ellipse":530.92919921875,
        "covar":1.3974609375
      }
    ]

• holes array of JSON objects. each describing a matched hole
• xmin minimum x-pixel value of hole
• xmax maximum x-pixel value of hole
• xavg average x-pixel value of hole
• ymin minimum y-pixel value of hole
• ymax maximum y-pixel value of hole
• yavg average y-pixel value of hole
• pts pixel area of hole (point in MSER region)
• ellipse area of ellipse covering [xmin, xmax] and [ymin, ymax]
• covar covariance of point coordinates (used to measure "centered-ness")

Example

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

Output image target/HoleRecognizer.jpg

See Also

• op SimpleBlobDetector which is an alternate solution