Radius of a disk in a binary image
I have binarized images like this one:
I need to determine the center and radius of the inner solid disk. As you can see, it is surrounded by a textured area which touches it, so that simple connected component detection doesn't work. Anyway, there is a void margin on a large part of the perimeter.
A possible cure could be by eroding until all the texture disappears or disconnects from the disk, but this can be time consuming and the number of iterations is unsure. (In addition, in some unlucky cases there are tiny holes in the disk, which will grow with erosion.)
Any better suggestion to address this problem in a robust and fast way ?
image-processing
asked Nov 29 at 10:57
Yves Daoust
124k671221
add a comment |
I have binarized images like this one:
I need to determine the center and radius of the inner solid disk. As you can see, it is surrounded by a textured area which touches it, so that simple connected component detection doesn't work. Anyway, there is a void margin on a large part of the perimeter.
A possible cure could be by eroding until all the texture disappears or disconnects from the disk, but this can be time consuming and the number of iterations is unsure. (In addition, in some unlucky cases there are tiny holes in the disk, which will grow with erosion.)
Any better suggestion to address this problem in a robust and fast way ?
image-processing
asked Nov 29 at 10:57
Yves Daoust
124k671221
add a comment |
I have binarized images like this one:
I need to determine the center and radius of the inner solid disk. As you can see, it is surrounded by a textured area which touches it, so that simple connected component detection doesn't work. Anyway, there is a void margin on a large part of the perimeter.
A possible cure could be by eroding until all the texture disappears or disconnects from the disk, but this can be time consuming and the number of iterations is unsure. (In addition, in some unlucky cases there are tiny holes in the disk, which will grow with erosion.)
Any better suggestion to address this problem in a robust and fast way ?
image-processing
asked Nov 29 at 10:57
Yves Daoust
124k671221
I have binarized images like this one:
I need to determine the center and radius of the inner solid disk. As you can see, it is surrounded by a textured area which touches it, so that simple connected component detection doesn't work. Anyway, there is a void margin on a large part of the perimeter.
A possible cure could be by eroding until all the texture disappears or disconnects from the disk, but this can be time consuming and the number of iterations is unsure. (In addition, in some unlucky cases there are tiny holes in the disk, which will grow with erosion.)
Any better suggestion to address this problem in a robust and fast way ?
image-processing
image-processing
asked Nov 29 at 10:57
Yves Daoust
124k671221
asked Nov 29 at 10:57
Yves Daoust
124k671221
asked Nov 29 at 10:57
Yves Daoust
124k671221
asked Nov 29 at 10:57
Yves Daoust
124k671221
asked Nov 29 at 10:57
Yves Daoust
124k671221
124k671221
add a comment |
add a comment |
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