二维数字图像分割区域邻接树计算的并行实现。

Advances in image and video technology : Pacific Rim Symposium, PSIVT ... proceedings. IEEE Pacific Rim Symposium on Image and Video Technology Pub Date : 2016-02-25 DOI:10.1007/978-3-319-30285-0_9

Fernando Díaz-Del-Río, Pedro Real, Darian Onchis

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引用次数: 0

摘要

给出了一种计算二维数字图像给定分割区域邻接树的并行算法的设计与实现。该技术是基于一种合适的分布式使用算法来计算分割的每个连通区域的同源生成森林（HSF）结构和确定区域之间包含的经典几何算法。结果表明，当在多核处理器中执行时，该技术具有很好的扩展性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

A Parallel Implementation for Computing the Region-Adjacency-Tree of a Segmentation of a 2D Digital Image.

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A Parallel Implementation for Computing the Region-Adjacency-Tree of a Segmentation of a 2D Digital Image.

A design and implementation of a parallel algorithm for computing the Region-Adjacency Tree of a given segmentation of a 2D digital image is given. The technique is based on a suitable distributed use of the algorithm for computing a Homological Spanning Forest (HSF) structure for each connected region of the segmentation and a classical geometric algorithm for determining inclusion between regions. The results show that this technique scales very well when executed in a multicore processor.

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Advances in image and video technology : Pacific Rim Symposium, PSIVT ... proceedings. IEEE Pacific Rim Symposium on Image and Video Technology

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