Journal ArticleDOI
Membrane computing and image processing: a short survey
Daniel Díaz-Pernil,Miguel A. Gutiérrez-Naranjo,Hong Peng +2 more
- Vol. 1, Iss: 1, pp 58-73
TLDR
Some of the open research lines in the area of membrane computing are presented, focusing on segmentation problems, skeletonization and algebraic-topological aspects of the images.Abstract:
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.read more
Citations
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Journal ArticleDOI
Dendrite P systems.
Hong Peng,Tingting Bao,Xiaohui Luo,Jun Wang,Xiaoxiao Song,Agustín Riscos-Núñez,Mario J. Pérez-Jiménez +6 more
TL;DR: A new variant of neural-like P systems, dendrite P (DeP) systems, where neurons simulate the computational function of dendrites and perform a firing-storing process instead of the storing-firing process in spiking neural P (SNP) Systems are proposed.
Journal ArticleDOI
Nonlinear Spiking Neural P Systems.
Hong Peng,Zeqiong Lv,Bo Li,Xiaohui Luo,Jun Wang,Xiaoxiao Song,Tao Wang,Mario J. Pérez-Jiménez,Agustín Riscos-Núñez +8 more
TL;DR: It is proved that NS NP systems as number-generating/accepting devices are Turing-universal, and two small universal NSNP systems for function computing and number generator are established, containing 117 neurons and 164 Neurons, respectively.
Journal ArticleDOI
An Overview of Hardware Implementation of Membrane Computing Models
Gexiang Zhang,Shang Zeyi,Sergey Verlan,Miguel A. Martínez-del-Amor,Yuan Chengxun,Luis Valencia-Cabrera,Mario J. Pérez-Jiménez +6 more
TL;DR: An overview of all existing approaches of hardware implementation in the area of P systems is performed and the quantitative and qualitative attributes of FPGA-based implementations and CUDA-enabled GPU-based simulations are compared to evaluate the two methodologies.
Journal ArticleDOI
Automatic Implementation of Fuzzy Reasoning Spiking Neural P Systems for Diagnosing Faults in Complex Power Systems
TL;DR: An automatic implementation method for automatically fulfilling the hard task, named membrane computing fault diagnosis (MCFD) method is developed, which is a very significant attempt in the development of FRSN P systems and even of the membrane computing applications.
Journal ArticleDOI
Numerical Spiking Neural P Systems
TL;DR: It is proved that NSN P is Turing universal as number generating devices, where the production functions in each neuron are linear functions, each involving at most one variable, and as number accepting devices,NSN P systems are proved to be universal as well, even if each neuron contains only one production function.
References
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Book
Deep Learning
TL;DR: Deep learning as mentioned in this paper is a form of machine learning that enables computers to learn from experience and understand the world in terms of a hierarchy of concepts, and it is used in many applications such as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames.
Book
The Fractal Geometry of Nature
TL;DR: This book is a blend of erudition, popularization, and exposition, and the illustrations include many superb examples of computer graphics that are works of art in their own right.
Journal ArticleDOI
A survey on deep learning in medical image analysis
Geert Litjens,Thijs Kooi,Babak Ehteshami Bejnordi,Arnaud Arindra Adiyoso Setio,Francesco Ciompi,Mohsen Ghafoorian,Jeroen van der Laak,Bram van Ginneken,Clara I. Sánchez +8 more
TL;DR: This paper reviews the major deep learning concepts pertinent to medical image analysis and summarizes over 300 contributions to the field, most of which appeared in the last year, to survey the use of deep learning for image classification, object detection, segmentation, registration, and other tasks.
Journal ArticleDOI
The Fractal Geometry of Nature
TL;DR: A blend of erudition (fascinating and sometimes obscure historical minutiae abound), popularization (mathematical rigor is relegated to appendices) and exposition (the reader need have little knowledge of the fields involved) is presented in this article.
Journal ArticleDOI
Image registration methods: a survey
Barbara Zitová,Jan Flusser +1 more
TL;DR: A review of recent as well as classic image registration methods to provide a comprehensive reference source for the researchers involved in image registration, regardless of particular application areas.