A One-Pass Two-Operation Process to Detect the Skeletal Pixels on the 4-Distance Transform
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Simulating the Grassfire Transform Using an Active Contour Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
A new characterization of three-dimensional simple points
Pattern Recognition Letters
Detection of 3-D Simple Points for Topology Preserving Transformations with Application to Thinning
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision
Skeletonization via distance maps and level sets
Computer Vision and Image Understanding
Computer Vision and Image Understanding
Distance-ordered homotopic thinning: a skeletonization algorithm for 3D digital images
Computer Vision and Image Understanding
International Journal of Computer Vision
Simplifying curve skeletons in volume images
Computer Vision and Image Understanding
A Formal Classification of 3D Medial Axis Points and Their Local Geometry
IEEE Transactions on Pattern Analysis and Machine Intelligence
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
On the computation of the {3, 4, 5} curve skeleton of 3D objects
Pattern Recognition Letters
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A new skeletonization algorithm is presented to compute the curvilinear skeleton of 3D objects. The algorithm is based on the use of the distance transform, on the detection of suitable anchor points, and on iterated topology preserving voxel removal. The obtained skeleton is topologically correct, is symmetrically placed within the object and its structure reflects the morphology of the represented object.