Isthmus-Based 6-Directional Parallel Thinning Algorithms

Isthmus-based Parallel and Asymmetric 3D Thinning Scheme and Algorithms

3D Parallel Thinning Algorithms Based on Isthmuses

Thinning is a widely used technique to obtain skeleton-like shape features (i.e., centerlines and medial surfaces) from digital binary objects. Conventional thinning algorithms preserve endpoints to provide important geometric information relative to the object to be represented. An alternative strategy is also proposed that preserves isthmuses (i.e., generalization of curve/surface interior po...

Asymmetric parallel 3D thinning scheme and algorithms based on isthmuses

Critical kernels constitute a general framework settled in the context of abstract complexes for the study of parallel thinning in any dimension. We take advantage of the properties of this framework, to propose a generic thinning scheme for obtaining “thin” skeletons from objects made of voxels. From this scheme, we derive algorithms that produce curve or surface skeletons, based on the notion...

2D Thinning Algorithms

Publications: Parallel Thinning Algorithms Based on Ronse's Sufficient Conditions for Topology Preservation [7], Németh, Gábor [8], and Palágyi Kálmán [9] , Progress in Combinatorial Image Analysis, May 2010, Singapore, p.183 194, (2010) An order-independent sequential thinning algorithm [10], Kardos, Péter [11], Németh Gábor [12], and Palágyi Kálmán [9] , Proceedings of the International Works...

Directional 3D Thinning Using 8 Subiterations

Thinning of a binary object is an iterative layer by layer erosion to extract an approximation to its skeleton. In order to provide topology preservation, different thinning techniques have been proposed. 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 subite...