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Titlebook: Combinatorial Image Analysis; 16th International W Reneta P. Barneva,Valentin E. Brimkov,Josef ?lapal Conference proceedings 2014 Springer

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11#
發(fā)表于 2025-3-23 11:01:42 | 只看該作者
Conference proceedings 2014epublic, in May 2014. The 20 revised full papers and 3 invited papers presented were carefully reviewed and selected from numerous submissions. The topics covered include discrete geometry and topology in imaging science, new results in image representation, segmentation, grouping, and reconstruction, medical image processing.
12#
發(fā)表于 2025-3-23 15:30:37 | 只看該作者
13#
發(fā)表于 2025-3-23 19:26:10 | 只看該作者
14#
發(fā)表于 2025-3-24 01:06:04 | 只看該作者
Middelgerelateerde en verslavingsstoornissenial types of image operators, namely, reductions and additions, and there have been some sufficient conditions proposed for them. In this paper, as an extension of those earlier results, we give novel sufficient criteria for general operators working on 2D pictures.
15#
發(fā)表于 2025-3-24 05:59:45 | 只看該作者
https://doi.org/10.1007/978-3-031-01876-3We present a characterization of Z-convex polyominoes in terms of pairs of suitable integer vectors. This lets us design an algorithm which generates all Z-convex polyominoes of size . in constant amortized time.
16#
發(fā)表于 2025-3-24 08:48:19 | 只看該作者
An Efficient Algorithm for the Generation of Z-Convex PolyominoesWe present a characterization of Z-convex polyominoes in terms of pairs of suitable integer vectors. This lets us design an algorithm which generates all Z-convex polyominoes of size . in constant amortized time.
17#
發(fā)表于 2025-3-24 13:55:31 | 只看該作者
https://doi.org/10.1007/978-3-319-07148-03D imaging; context-free grammars; discrete models; image processing; parallel algorithms; algorithm anal
18#
發(fā)表于 2025-3-24 17:32:24 | 只看該作者
978-3-319-07147-3Springer International Publishing Switzerland 2014
19#
發(fā)表于 2025-3-24 23:01:18 | 只看該作者
20#
發(fā)表于 2025-3-25 00:05:10 | 只看該作者
The Milky Way and its Bright Nebulae,in pattern recognition, low level image processing, computer vision and, more recently, multimedia. After introducing some basic notions and concepts and recalling related key facts, we briefly discuss the basic steps of a parallel algorithm design, illustrating them by author’s results on the probl
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