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DOC: spell out the names of [Lee94], add the Notes section
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@@ -26,11 +26,24 @@ def skeletonize_3d(img):
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--------
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skeletonize, medial_axis
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Notes
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-----
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The method of [Lee94]_ uses an octree data structure to examine a 3x3x3
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neighborhood of a pixel. The algorithm proceeds by iteratively sweeping
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over the image, and removing pixels at each iteration until the image
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stops changing. Each iteration consists of two steps: first, a list of
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candidates for removal is assembled; then pixels from this list are
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rechecked sequentially, to better preserve connectivity of the image.
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The algorithm this function implements is different from the algorithms
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used by either `skeletonize` or `medial_axis`, thus for 2D images the
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results produced by this function are generally different.
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References
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----------
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.. [Lee94] Lee et al, Building skeleton models via 3-D medial surface/axis
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thinning algorithms. Computer Vision, Graphics, and Image Processing,
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56(6):462-478, 1994.
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.. [Lee94] T.-C. Lee, R.L. Kashyap and C.-N. Chu, Building skeleton models
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via 3-D medial surface/axis thinning algorithms.
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Computer Vision, Graphics, and Image Processing, 56(6):462-478, 1994.
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"""
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# make sure the image is 3D or 2D (if it is, temporarily upcast to 3D)
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@@ -21,9 +21,10 @@ Porting to Cython was done by Evgeni Burovski (evgeny.burovskiy@gmail.com).
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References
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----------
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.. [Lee94] Lee et al, Building skeleton models via 3-D medial surface/axis
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thinning algorithms. Computer Vision, Graphics, and Image Processing,
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56(6):462-478, 1994
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.. [Lee94] T.-C. Lee, R.L. Kashyap and C.-N. Chu, Building skeleton models
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via 3-D medial surface/axis thinning algorithms.
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Computer Vision, Graphics, and Image Processing, 56(6):462-478, 1994.
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.. [IAC15] Ignacio Arganda-Carreras, 2015. Skeletonize3D plugin for ImageJ(C).
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http://fiji.sc/Skeletonize3D
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