Membrane computing is a well-known research area in computer science inspired by the
organization and behavior of live cells and tissues. Their computational devices, called P …

Skeletonization is a common type of transformation within image analysis. In general, the
image B is a skeleton of the black and white image A, if the image B is made of fewer black …

In this paper, we present a parallel implementation of a new algorithm for segmenting
images with gradient-based edge detection by using techniques from Natural Computing …

Membrane computing, a recent branch of natural computing, has been gaining momentum
attention in the last few decades due to its massive parallelism and efficient computation …

Ecosystem modelling based on membrane computing is emerging as a powerful way to
study the dynamics of (real) ecological populations. These models, providing distributed …

In this paper we present a parallel algorithm to solve the thresholding problem by using
Membrane Computing techniques. This bio-inspired algorithm has been implemented in a …

Smoothing is often used in Digital Imagery for improving the quality of an image by reducing
its level of noise. This paper presents a parallel implementation of an algorithm for …

AP system represents a distributed and parallel computing model in which basic data
structures are, for instance, multisets and strings. Enzymatic Numerical P Systems (ENPS) …

Membrane computing is a branch of natural computing. Several studies have recently
attempted to utilize the structure of membrane computing to improve intelligent algorithms …

Inspired by the structure and functioning of the biological cell, membrane computing is a
novel class of computational models where its devices are called P systems. In this paper …