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I'm using MorphologicalGraph to convert images to graph. This is my source image:This is my source image

Following this and this, I tried

i = Thinning[Binarize@Import["https://i.stack.imgur.com/WfVsG.png"],
    3, Method -> "MedialAxis"];
g = MorphologicalGraph[i, 
   EdgeStyle -> Directive[Orange, Opacity[.5], Thickness[.01]], 
   GraphStyle -> "ThickEdge"];
Show[Dilation[i, 1], g]

Below is the output, some edges are not detected while some are detected wronglyoutput.

Could anyone help me with this? Is this caused by the image quality?

wz0919
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  • Try converting the image to grayscale, then dilate, binarize and thin i.e. ColorConvert[i,"Grayscale"]//Dilation[#,1]&//Thinning then try MorphologicalGraph. BTW you've got two graphs in the image - the outer box and the inner more connected object – EstabanW Jul 10 '21 at 10:02
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    For MorphologicalGraph, a "vertex" is a branching point. The "corner" in the lower left of the image is not a branching point, so it will not be a vertex in the result. This is not incorrect behaviour. If you want that point detected, as a first step you would need to come up with a clear definition of what you consider a vertex. – Szabolcs Jul 10 '21 at 10:55
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    The other issue is that MorphologicalGraph does not support multi-edges at this point. This is an unfortunate limitation. I have requested this feature from Wolfram multiple times. They are more likely to add it if more people request it. – Szabolcs Jul 10 '21 at 10:55
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