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For optimal outline detection, set ‘Threshold’ Threshold value so the object borders are clearly visible.

Info

Turn off the ‘Original image’ Original image so you can see how the image looks after applying ‘Canny’ Canny edge detection.

Canny Settings

Canny settings can be modified by using the slider or typing a desired value, this configuration is related to the canny edge detector. It should be adjusted when the line is measuring other edges around the object, or the object edge isn’t whole, causing measuring inconsistencies.

You can find more about it in  Preprocess Preprocess article - Canny Edge Detector.

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When Original image is enabled, the original image is then displayed. When is disabled, the image is displayed with a canny edge filter enabled (edges/outline of the image highlighted).

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Evaluation

When the end-user clicks on the ‘Evaluation’ button, a threshold can be set for line length, alongside comparison rules, then click ‘Enable'. Lastly, click on 'Save and Close’.

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Measurement is done in pixels, but if you e.g. put a ruler into an image where the object would be, you can compute the pixel-to-mm ratio and then use it in the Code module to evaluate the length of the lines. The lines are saved in Context in this format:

Code Block
languagepy
"lines": [
    {
      "id": 1651502661344,
      "label": "Line1",
      "start": {
        "x": 165,
        "y": 479
      },
      "end": {
        "x": 158,
        "y": 4
      },
      "angle": 1.5560605513728232,
      "length": 475
    },
    {
      "id": 1651502665897,
      "label": "Line2",
      "start": {
        "x": 436,
        "y": 479
      },
      "end": {
        "x": 436,
        "y": 4
      },
      "angle": 1.5707963267948966,
      "length": 475
    }
  ]