A parallel algorithm for skeletonizing images by using spiking neural P systems

Díaz-Pernil, Daniel; Peña-Cantillana, Francisco; Gutiérrez–Naranjo, Miguel A.

doi:10.1016/j.neucom.2012.12.032

Cited by 75 publications

(52 citation statements)

References 26 publications

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“…In [49,50], Díaz-Pernil et al presented an implementation of the Guo and Hall algorithm [77,78] for skeletonizing images by using spiking neural P systems. In this algorithm, the pixels are examined for deletion in an iterative process.…”

Section: Skeletonizationmentioning

confidence: 99%

Membrane computing and image processing: a short survey

2019

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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 systems, work in parallel and distributed mode and the information is encoded by multisets in a localized manner. All these features make P systems appropriate for dealing with digital images. In this paper, some of the open research lines in the area are presented, focusing on segmentation problems, skeletonization and algebraic-topological aspects of the images. An extensive bibliography about the application of membrane computing to the study of digital images is also provided.

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Section: Skeletonizationmentioning

confidence: 99%

Membrane computing and image processing: a short survey

2019

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“…These fields were selected based on the heuristic analysis of the data whereby they were found to be unique to the attack. So, with the assumption that all rules have full confidence factor, the formulated rules include: (2,14), (2,16), (3,15), (4,17), (5,13), (5,14), (6,15), (7,16), (7,17), (13,8), (14,9), (15,10), (16,11), (17,12)} 5) in = {σ 1 ,σ 2 σ 3 ,σ 4 σ 5 , σ 6 ,σ 7 } out = {σ 8 ,σ 9 σ 10 ,σ 11 σ 12 } Fig. 3.…”

Section: B Rules Formulation and Tfrsn P System's Modelmentioning

confidence: 99%

“…Some of the areas in which MC has received considerable attention and proved to be immensely beneficial include (but not limited to) the efforts of Daz-Pernil et al [3] in 2012 for solving skeletonization problem, in which they built a parallel software which was implemented within the Graphics Processors Units (GPU) architecture. In another perspective, Peng et al [4] applied Fuzzy Reasoning Spiking Neural P System to diagnose the faulty sections in a power system.…”

Section: Introductionmentioning

confidence: 99%

Advocating the use of fuzzy reasoning spiking neural P system in intrusion detection

Idowu

Chandren

Othman

2014

Asian Conference on Membrane Computing ACMC 2014

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Membrane Computing (MC) with its variants has proved to be a versatile class of distributed parallel computing model. This is because despite its infancy, it has enjoyed significant application in various fields. However, much is yet to be accomplished in the area of information and network security. So, to further explore the efficacy of MC, this paper presents a new attempt in the application of SN P system and as well provides a novel idea and method for attack detection. The extension of SN P system called trapezoidal Fuzzy Reasoning Spiking Neural P (tFRSN P) system is adopted in the network intrusion prediction model. SN P system is a neural-like computing model inspired from the way spiking neurons communicate using spikes. It has a graphical modeling advantage which makes it well suited for fuzzy reasoning as well as fuzzy knowledge representation. In order to evaluate the performance of tFRSN P system in intrusion detection, the publicly available KDD Cup benchmark dataset was employed. After the experiments, our results yielded very high detection rate of 99.78% and very low false alarm rate of 0.16% for Brute Force Attack (BFA).

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“…We only mention here the papers [6], [15], [25], [26], where some applications are described, as well as the papers [1], [13], [27], where simulators (sometimes, called implementations) are reported. General information about the P-lingua programming language (also a platform for executing P systems) can be found at the P-lingua website, http://www.p-lingua.org.…”

Section: Applications and Softwarementioning

confidence: 99%