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Constructing an exact Euclidean distance map [message #83087] Mon, 04 February 2013 05:20
Rob Klooster is currently offline  Rob Klooster
Messages: 18
Registered: February 2013
Junior Member
Dear all,

I am looking for a way to get a (near) exact Euclidean distance map (EDM) of a binary image in a fast way. Using morph_distance is fast, but even the "approximate Euclidean distance" is not very close to the exact EDM. I have tried using the brute-force way of looping over all objects, looping over all pixels belonging to the edge of that object and calculating the distance of all pixels to that edge pixel, storing the value if it's smaller than the previous value. This is obviously quite slow. Any ideas to speed things up?

Best regards,
Rob Klooster.

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