Application of hybrid particle swarm and ant colony optimization algorithms to obtain the optimum homomorphic wavelet image fusion

Yonghong Jiang, Yaning Ma

DOI: 10.21037/atm-20-5997
Published: 2020-11
Container: Annals of Translational Medicine
Publisher: AME Publishing Company
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.21037/atm-20-5997,
  title = {Application of hybrid particle swarm and ant colony optimization algorithms to obtain the optimum homomorphic wavelet image fusion},
  author = {Yonghong Jiang and Yaning Ma},
  year = {2020},
  journal = {Annals of Translational Medicine},
  doi = {10.21037/atm-20-5997},
  url = {https://doi.org/10.21037/atm-20-5997}
}

RIS

TY  - JOUR
TI  - Application of hybrid particle swarm and ant colony optimization algorithms to obtain the optimum homomorphic wavelet image fusion
AU  - Yonghong Jiang
AU  - Yaning Ma
PY  - 2020
JO  - Annals of Translational Medicine
DO  - 10.21037/atm-20-5997
UR  - https://doi.org/10.21037/atm-20-5997
ER  -

APA

Jiang, Y., & Ma, Y. (2020). Application of hybrid particle swarm and ant colony optimization algorithms to obtain the optimum homomorphic wavelet image fusion. Annals of Translational Medicine. https://doi.org/10.21037/atm-20-5997

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crossref · retrieved 2026-11-05T01:31:03.782Z