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Titlebook: Discrete Geometry for Computer Imagery; 16th IAPR Internatio Isabelle Debled-Rennesson,Eric Domenjoud,Philippe Conference proceedings 2011

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41#
發(fā)表于 2025-3-28 17:28:39 | 只看該作者
42#
發(fā)表于 2025-3-28 20:52:18 | 只看該作者
https://doi.org/10.1007/978-3-031-52247-5 parameter. We provide in this article a discrete framework which formalizes and generalizes this notion, in particular to higher dimensions. This framework allows us to propose a new skeletonization scheme and to prove several important properties, such as topology preservation and stability w.r.t.
43#
發(fā)表于 2025-3-29 01:24:11 | 只看該作者
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發(fā)表于 2025-3-29 05:18:29 | 只看該作者
45#
發(fā)表于 2025-3-29 08:27:21 | 只看該作者
Mónica López-Campos,Arón Barahona Ríosoving points from the object without changing the topology. In order to preserve geometric information, it is usual to preserve curve end points (for curve skeletons) or surface end points (for surface skeletons). In this paper we propose a new fast directional parallel thinning scheme, preserving i
46#
發(fā)表于 2025-3-29 13:27:06 | 只看該作者
47#
發(fā)表于 2025-3-29 16:47:20 | 只看該作者
https://doi.org/10.1007/978-3-031-32032-3e. The corresponding distance transform algorithm is similar in its form to classical propagation-based algorithms, but the more variable distance increments are either stored in look-up-tables or computed on-the-fly. These distances and distance transform extend neighborhood-sequence distances, cha
48#
發(fā)表于 2025-3-29 20:48:58 | 只看該作者
Alexandr Bozhenyuk,Evgeniya Gerasimenkoextracting medial representations of the objects. The distance transform (DT) is obtained by labeling each object element with the distance to the background. By local operations on the DT, different sets of anchor points can be obtained. We present two different methods based on local operations an
49#
發(fā)表于 2025-3-30 03:35:50 | 只看該作者
Supply Chain Management Under Fuzzinesss the largest possible number of points. We first observe that the problem is 3SUM-hard in the plane, so that it probably cannot be solved exactly with computational complexity better than .(..), and it is conjectured that optimal computational complexity in dimension . is in fact .(..). We therefor
50#
發(fā)表于 2025-3-30 04:07:44 | 只看該作者
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