Imagen de Portada

GRAPH CUTS THEORETIC CONCEPTS WITH DIGITAL SIGNAL PROCESSING: A REVIEW

Guardado en:
Publicado en:NeuroQuantology vol. 20, no. 10 (2022), p. 4269
Autor principal: Dayanand
Otros Autores: Jain, Arihant
Publicado:
NeuroQuantology
Materias:
Algorithms
Dynamic programming
Circuits
Fields (mathematics)
Bayesian analysis
Digital signal processing
Combinatorial analysis
Optimization techniques
Signal processing
Acceso en línea:Citation/Abstract
Full Text - PDF
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
Resumen: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.
ISSN:1303-5150
DOI:10.14704/nq.2022.20.10.NQ55414
Fuente:Health & Medical Collection