Parallel Thinning with Complex Objects and Actors

  • Radu Nicolescu
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8961)


Based on our earlier complex objects proposal, we present three novel concurrent membrane computing models for a fundamental image processing task: the thinning (or skeletonisation) of binary images, based on the classical Guo-Hall algorithm (A2). The first model is synchronous and uses one cell per pixel and relies on inter-cell parallelism; the second model is an asynchronous version of the first; the third model uses one single cell, with one sub-cellular object per pixel, and relies on intra-cell parallelism. The static and dynamic qualities of our models validate our complex objects proposal: (i) the proposed models are crisp (comparable to the best pseudocode); and (ii) complex objects concurrency and messaging can be efficiently emulated on a message-based Actors framework (which opens a novel research path).


Membrane computing P systems Inter-cell parallelism Intra-cell parallelism Prolog terms Complex objects Generic rules Image processing Guo-Hall algorithm Parallel and concurrent models Synchronous and asynchronous models Termination detection Message-based Actor model 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  1. 1.Department of Computer ScienceUniversity of AucklandAucklandNew Zealand

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