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Canny Edge Detection Threshold Values Meaning

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I am using the Canny edge detection method on an image. I am setting the threshold values myself. I have a grayscale image with pixel values in the range 0 to 255. I have a current threshold range of [0.1 0.15] for the image.
My question: what do these two numbers actually mean? (i.e. do they represent a percentage value? so if the pixel value is 15% of 255 it turns it into an edge? This doesnt really make sense as 15% is very low compared to the pixel value that is getting considered an edge in the image)
  1 Comment
darova
darova on 23 Jun 2020
Here is a screenshot from edge function
  • I have a current threshold range of [0.1 0.15] for the image.
Also threshold value is a single value (not range)

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Accepted Answer

Aakash Mehta
Aakash Mehta on 25 Jun 2020
The 'Canny' method uses two thresholds.
For example, if the threshold is [0.1 0.15] then the edge pixels above the upper limit(0.15) are considered and edge pixels below the threshold(0.1) are discarded.
Now, you may have a question "what about the pixels in between upper and lower threshold"?
They are considered only if they are connected to pixels in the upper threshold. Thus we get a clean edge.
For more details, refer to input arguments section of below link.

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