A new image fusion algorithm based on Fuzzy Logic

Mengyu Zhu; Yuliang Yang

doi:10.1109/ICICTA.2008.336

A new image fusion algorithm based on Fuzzy Logic

Mengyu Zhu^*, Yuliang Yang

^*Corresponding author for this work

School of Medical and Technology

University of Science and Technology Beijing

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

23 Citations (Scopus)

Abstract

An image fusion algorithm is presented based on fuzzy logic and wavelet in this paper. Aiming at the visible and infrared image fusion, we analyze the pixel-level image fusion algorithms, and addresses an algorithm based on the discrete wavelet transform and fuzzy logic. We created two fuzzy relations, and estimated the importance of every wavelet coefficient with fuzzy reasoning. According to the importance of coefficients, the weighting average coefficients were calculated. Ultimately, we reconstructed the fused image through inverse wavelet transform. In the experimental section, we verified the effectiveness of the algorithm with two actual image data acquired from the field experiments.

Original language	English
Title of host publication	Proceedings - International Conference on Intelligent Computation Technology and Automation, ICICTA 2008
Pages	83-86
Number of pages	4
DOIs	https://doi.org/10.1109/ICICTA.2008.336
Publication status	Published - 2008
Event	International Conference on Intelligent Computation Technology and Automation, ICICTA 2008 - Changsha, Hunan, China Duration: 20 Oct 2008 → 22 Oct 2008

Publication series

Name	Proceedings - International Conference on Intelligent Computation Technology and Automation, ICICTA 2008
Volume	2

Conference

Conference	International Conference on Intelligent Computation Technology and Automation, ICICTA 2008
Country/Territory	China
City	Changsha, Hunan
Period	20/10/08 → 22/10/08

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10.1109/ICICTA.2008.336

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Zhu, M., & Yang, Y. (2008). A new image fusion algorithm based on Fuzzy Logic. In Proceedings - International Conference on Intelligent Computation Technology and Automation, ICICTA 2008 (pp. 83-86). Article 4659727 (Proceedings - International Conference on Intelligent Computation Technology and Automation, ICICTA 2008; Vol. 2). https://doi.org/10.1109/ICICTA.2008.336

@inproceedings{423bdae039ff4a47850a31bb9c9d43f7,

title = "A new image fusion algorithm based on Fuzzy Logic",

abstract = "An image fusion algorithm is presented based on fuzzy logic and wavelet in this paper. Aiming at the visible and infrared image fusion, we analyze the pixel-level image fusion algorithms, and addresses an algorithm based on the discrete wavelet transform and fuzzy logic. We created two fuzzy relations, and estimated the importance of every wavelet coefficient with fuzzy reasoning. According to the importance of coefficients, the weighting average coefficients were calculated. Ultimately, we reconstructed the fused image through inverse wavelet transform. In the experimental section, we verified the effectiveness of the algorithm with two actual image data acquired from the field experiments.",

author = "Mengyu Zhu and Yuliang Yang",

year = "2008",

doi = "10.1109/ICICTA.2008.336",

language = "English",

isbn = "9780769533575",

series = "Proceedings - International Conference on Intelligent Computation Technology and Automation, ICICTA 2008",

pages = "83--86",

booktitle = "Proceedings - International Conference on Intelligent Computation Technology and Automation, ICICTA 2008",

note = "International Conference on Intelligent Computation Technology and Automation, ICICTA 2008 ; Conference date: 20-10-2008 Through 22-10-2008",

}

Zhu, M & Yang, Y 2008, A new image fusion algorithm based on Fuzzy Logic. in Proceedings - International Conference on Intelligent Computation Technology and Automation, ICICTA 2008., 4659727, Proceedings - International Conference on Intelligent Computation Technology and Automation, ICICTA 2008, vol. 2, pp. 83-86, International Conference on Intelligent Computation Technology and Automation, ICICTA 2008, Changsha, Hunan, China, 20/10/08. https://doi.org/10.1109/ICICTA.2008.336

A new image fusion algorithm based on Fuzzy Logic. / Zhu, Mengyu; Yang, Yuliang.
Proceedings - International Conference on Intelligent Computation Technology and Automation, ICICTA 2008. 2008. p. 83-86 4659727 (Proceedings - International Conference on Intelligent Computation Technology and Automation, ICICTA 2008; Vol. 2).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Yang, Yuliang

PY - 2008

Y1 - 2008

N2 - An image fusion algorithm is presented based on fuzzy logic and wavelet in this paper. Aiming at the visible and infrared image fusion, we analyze the pixel-level image fusion algorithms, and addresses an algorithm based on the discrete wavelet transform and fuzzy logic. We created two fuzzy relations, and estimated the importance of every wavelet coefficient with fuzzy reasoning. According to the importance of coefficients, the weighting average coefficients were calculated. Ultimately, we reconstructed the fused image through inverse wavelet transform. In the experimental section, we verified the effectiveness of the algorithm with two actual image data acquired from the field experiments.

AB - An image fusion algorithm is presented based on fuzzy logic and wavelet in this paper. Aiming at the visible and infrared image fusion, we analyze the pixel-level image fusion algorithms, and addresses an algorithm based on the discrete wavelet transform and fuzzy logic. We created two fuzzy relations, and estimated the importance of every wavelet coefficient with fuzzy reasoning. According to the importance of coefficients, the weighting average coefficients were calculated. Ultimately, we reconstructed the fused image through inverse wavelet transform. In the experimental section, we verified the effectiveness of the algorithm with two actual image data acquired from the field experiments.

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T2 - International Conference on Intelligent Computation Technology and Automation, ICICTA 2008

Y2 - 20 October 2008 through 22 October 2008

ER -

A new image fusion algorithm based on Fuzzy Logic

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