A parallel thinning algorithm for medial surfaces
Pattern Recognition Letters
A 3D fully parallel thinning algorithm for generating medial faces
Pattern Recognition Letters
A 3D 6-subiteration thinning algorithm for extracting medial lines
Pattern Recognition Letters
A Parallel 12-Subiteration 3D Thinning Algorithm to Extract Medial Lines
CAIP '97 Proceedings of the 7th International Conference on Computer Analysis of Images and Patterns
A 3D 3-Subiteration Thinning Algorithm for Medial Surfaces
DGCI '00 Proceedings of the 9th International Conference on Discrete Geometry for Computer Imagery
Automatic assessment of the torsional alignment of the knee joint in three-dimension visualization
Proceedings of the 9th ACM SIGGRAPH Conference on Virtual-Reality Continuum and its Applications in Industry
Isthmus-based 6-directional parallel thinning algorithms
DGCI'11 Proceedings of the 16th IAPR international conference on Discrete geometry for computer imagery
Voxel-based shape decomposition for feature-preserving 3D thumbnail creation
Journal of Visual Communication and Image Representation
3D topological thinning by identifying non-simple voxels
IWCIA'04 Proceedings of the 10th international conference on Combinatorial Image Analysis
Skeletonization and distance transforms of 3D volumes using graphics hardware
DGCI'06 Proceedings of the 13th international conference on Discrete Geometry for Computer Imagery
Branch voxels and junctions in 3d skeletons
IWCIA'06 Proceedings of the 11th international conference on Combinatorial Image Analysis
A new relative chain code in 3D
Pattern Recognition
Intensity-Based Skeletonization of CryoEM Gray-Scale Images Using a True Segmentation-Free Algorithm
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
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Thinning of a binary object is an iterative layer by layer erosion to extract an approximation to its skeleton. In order to pro vide topology preservation, different thinning techniques have been pro posed. One of them is the directional (or border sequential) approach in which each iteration step is subdivided into subiterations where only border points of certain kind are deleted in each subiteration. There are six kinds of border points in 3D images, therefore, 6subiteration parallel thinning algorithms were generally proposed. In this paper, we present two 8subiteration algorithms for extracting "surface skeletons" and "curve skeletons", respectively. Both algorithms work in cubic grid for (26,6) images. Deletable points are given by templates that makes easy implementation possible.