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

Description

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.

Abstract

Ministerio de Ciencia e Innovación TEC2012-37868-C04-02

Abstract

Universidad de Sevilla 2014/753

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