Recent Advances in Pulse-Coupled Neural Networks with Applications in Image Processing

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dc.citation.issue20
dc.citation.volume11
dc.contributor.authorLiu H
dc.contributor.authorLiu M
dc.contributor.authorLi D
dc.contributor.authorZheng W
dc.contributor.authorYin L
dc.contributor.authorWang R
dc.contributor.editorSong BC
dc.date.accessioned2023-11-27T22:09:53Z
dc.date.accessioned2024-07-25T06:52:22Z
dc.date.available2022-10-11
dc.date.available2023-11-27T22:09:53Z
dc.date.available2024-07-25T06:52:22Z
dc.date.issued2022-10-11
dc.description.abstractThis paper surveys recent advances in pulse-coupled neural networks (PCNNs) and their applications in image processing. The PCNN is a neurology-inspired neural network model that aims to imitate the information analysis process of the biological cortex. In recent years, many PCNN-derived models have been developed. Research aims with respect to these models can be divided into three categories: (1) to reduce the number of manual parameters, (2) to achieve better real cortex imitation performance, and (3) to combine them with other methodologies. We provide a comprehensive and schematic review of these novel PCNN-derived models. Moreover, the PCNN has been widely used in the image processing field due to its outstanding information extraction ability. We review the recent applications of PCNN-derived models in image processing, providing a general framework for the state of the art and a better understanding of PCNNs with applications in image processing. In conclusion, PCNN models are developing rapidly, and it is projected that more applications of these novel emerging models will be seen in future.
dc.description.confidentialfalse
dc.edition.editionOctober 2022
dc.identifier.citationLiu H, Liu M, Li D, Zheng W, Yin L, Wang R. (2022). Recent Advances in Pulse-Coupled Neural Networks with Applications in Image Processing. Electronics (Switzerland). 11. 20.
dc.identifier.doi10.3390/electronics11203264
dc.identifier.eissn2079-9292
dc.identifier.elements-typejournal-article
dc.identifier.number3264
dc.identifier.urihttps://mro.massey.ac.nz/handle/10179/71075
dc.languageEnglish
dc.publisherMDPI (Basel, Switzerland)
dc.publisher.urihttps://www.mdpi.com/2079-9292/11/20/3264
dc.relation.isPartOfElectronics (Switzerland)
dc.rights(c) 2022 The Author/s
dc.rightsCC BY
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectpulse-coupled neural network
dc.subjectquasi-continuous model
dc.subjectheterogeneous PCNN
dc.subjectimage processing
dc.titleRecent Advances in Pulse-Coupled Neural Networks with Applications in Image Processing
dc.typeJournal article
pubs.elements-id457970
pubs.organisational-groupOther
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