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Abstract

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Vision and graphics researchers continue to explore graph cuts as a topic of study in their respective fields. Some appealing links among graph cuts, those certain combinatorial algorithms (dynamic programming, direct paths) and Markov random fields have been discovered or rediscoveries in recent years. Another relationship is between sub modular functions and electric circuit theory, Bayesian networks and belief propagation, and essential geometry and anisotropic diffusion.

Details

Subject
Algorithms;
Dynamic programming;
Circuits;
Fields (mathematics);
Bayesian analysis;
Digital signal processing;
Combinatorial analysis;
Optimization techniques;
Signal processing
Identifier / keyword
Theoretical DSP; Dynamic programming; Bayesian network; Graph; Signal processing; Anisotropic diffusion; Markov random field; graph Cut
Title
GRAPH CUTS THEORETIC CONCEPTS WITH DIGITAL SIGNAL PROCESSING: A REVIEW
Author
Dayanand; Jain, Arihant
Publication title
NeuroQuantology; Bornova Izmir
Volume
20
Issue
10
Pages
4269 - 4281
Publication year
2022
Publication date
2022
Publisher
NeuroQuantology
Place of publication
Bornova Izmir
Country of publication
Turkey
Publication subject
Medical Sciences--Psychiatry And Neurology, Physics
e-ISSN
13035150
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
DOI
https://doi.org/10.14704/nq.2022.20.10.NQ55414
ProQuest document ID
2901928669
Document URL
https://www.proquest.com/scholarly-journals/graph-cuts-theoretic-concepts-with-digital-signal/docview/2901928669/se-2?accountid=208611
Copyright
Copyright NeuroQuantology 2022
Last updated
2024-08-27
Database
ProQuest One Academic