Theory behind local thickness filter #494
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Hello, Is that the actual theory behind the Local Thickness Porespy function? Thank you |
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The "theory" is just that you put the largest spheres you can in the image. How you do it is less important...that only affects speed and memory usage for instance. The paper we refer to in our previous work uses skeletons which are not always robust since they don't always go where they're supposed to. Our method is robust in that we iteratively find all locations where spheres of size r=R can find, then r=R-1, then r=R-2, etc. On each iteration we update the image with "r" that have not already been updated on a previous iteration. I do not know of a paper that explicitly outlines our method, but as I said it's just a background implementation detail and the result is the same. |
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The "theory" is just that you put the largest spheres you can in the image. How you do it is less important...that only affects speed and memory usage for instance. The paper we refer to in our previous work uses skeletons which are not always robust since they don't always go where they're supposed to. Our method is robust in that we iteratively find all locations where spheres of size r=R can find, then r=R-1, then r=R-2, etc. On each iteration we update the image with "r" that have not already been updated on a previous iteration. I do not know of a paper that explicitly outlines our method, but as I said it's just a background implementation detail and the result is the same.