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Titlebook: Geometry, Morphology, and Computational Imaging; 11th International W Tetsuo Asano,Reinhard Klette,Chrisitan Ronse Conference proceedings 2

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21#
發(fā)表于 2025-3-25 03:51:07 | 只看該作者
Geometry, Morphology, and Computational Imaging978-3-540-36586-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
22#
發(fā)表于 2025-3-25 08:57:34 | 只看該作者
23#
發(fā)表于 2025-3-25 13:57:08 | 只看該作者
Electoral Politics in South Africaue for printing machines and printers to output an image with few intensity levels or colors which looks similar to an input image. The purposes of this paper are to reveal that there are a number of problems related to combinatorial and computational geometry and to present some solutions or clues to those problems.
24#
發(fā)表于 2025-3-25 17:35:57 | 只看該作者
25#
發(fā)表于 2025-3-25 23:05:30 | 只看該作者
Quantification of the Spatial Distribution of Line Segments with Applications to CAD of Chest X-Rayature based on the extended Voronoi tessellation. The former quantifies the degree of concentration, and the latter the difference of density. We explain the two features with their applications to the benign/malignant discrimination of lung tumors. The theoretical analysis is also shown.
26#
發(fā)表于 2025-3-26 01:04:55 | 只看該作者
Combinatorial and Geometric Problems Related to Digital Halftoning,ue for printing machines and printers to output an image with few intensity levels or colors which looks similar to an input image. The purposes of this paper are to reveal that there are a number of problems related to combinatorial and computational geometry and to present some solutions or clues to those problems.
27#
發(fā)表于 2025-3-26 07:35:24 | 只看該作者
28#
發(fā)表于 2025-3-26 10:08:29 | 只看該作者
https://doi.org/10.1007/3-540-36586-93D; Computer Vision; Optical flow; Textur; computed tomography (CT); discrete digitization; feature extrac
29#
發(fā)表于 2025-3-26 14:15:56 | 只看該作者
30#
發(fā)表于 2025-3-26 17:50:33 | 只看該作者
https://doi.org/10.1007/978-3-662-53275-1In this paper, we introduce a resolution-conversion method for two- and three-dimensional discrete objects. We first derive a method for boundary extraction, second, introduce a method for the estimation of a smooth boundary, and third, construct an algorithm for resolution conversion.
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