How can i get the smallest shape using a list of centroid coordinates?
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As part of image analysis protocol, I have binary images with shapes I have detected using region props. As the dimensions of the original area containing the shapes differs outside the edges of the shape-enriched area, I am trying to find the smallest shape that includes all the dots (shapes detected with regionprops). The approaches I have looked for deal with paths that intersect with all the shapes, hamiltonian paths and whatsoever, but I only need the outer shapes to be the actual vertexes of the shape, the ones inside the resulting shape need to be left excluded.
If you need a visual explanation, imagine a circle-like distribution of stars, how can I get a shape that includes all the stars, both the ones that end up making the shape perimeter and the ones that are left inside?
Thank you!
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Jonas
2023-7-12
is the distribution of your stars concave? than maybe a convex hull using bwconvhull may be what you are searching for?
if I misunderstood, could you show an image and mark what you want to get from it?
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Matt J
2023-7-12
You can use bwalphaclose from this FEX download,
It is very similar in its syntax to bwconvhull, except you can specify the alphashape you have already designed to take a more form-fitting closure.
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