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Image Fusion Algorithm Using RBF Neural Networks

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Hybrid Artificial Intelligence Systems (HAIS 2008)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5271))

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Abstract

This paper presents the image fusion algorithm using Radial Basis Function (RBF) neural networks. The clustering of every original image pixel is obtained by RBF neural networks combined with nearest neighbor clustering method. For each cluster center, the membership of every fused image pixel is adopted as the weighting coefficient of the weighted strategy, which is used to obtain the fusion image. The membership is obtained by maximum rule. The original data set is chosen as the candidate set of nearest neighbor clustering algorithm, and the center set of hidden units are dynamically established. In this experiment, the fusion results of various widths of hidden unit are compared with the results obtained by self-organizing feature map (SOFM) neural networks method. The influence of the various widths is discussed in this paper. The experiment results show that the proposed method can achieve better performance of the fused image.

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Author information

Authors and Affiliations

  1. College of Computer Science and Technology, Jilin University, 2699 Qianjin Street, 130012, Changchun, China

    Hong Zhang & Lei Liu

  2. State Key Laboratory on Integrated Optoelectronics, College of Electronic Science and Engineering, Jilin University, 2699 Qianjin Street, 130012, Changchun, China

    Hong Zhang, Xiao-nan Sun & Lei Zhao

Authors
  1. Hong Zhang
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  2. Xiao-nan Sun
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  3. Lei Zhao
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  4. Lei Liu
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Editor information

Editors and Affiliations

  1. Escuela Politécnica Superior, GICAP Research Group, Universidad de Burgo, Calle Francisco de Vitoria S/N, Edifico C, Campus Vena, 09006, Burgos, Spain

    Emilio Corchado

  2. Center of Excellence for Quantifiable Quality of Service, Norwegian University of Science and Technology, 7491, Trondheim, Norway

    Ajith Abraham

  3. Department of Electrical and Computer Engineering, University of Alberta, Edmonton,, T6G 2V4, Alberta, Canada

    Witold Pedrycz

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© 2008 Springer-Verlag Berlin Heidelberg

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Zhang, H., Sun, Xn., Zhao, L., Liu, L. (2008). Image Fusion Algorithm Using RBF Neural Networks. In: Corchado, E., Abraham, A., Pedrycz, W. (eds) Hybrid Artificial Intelligence Systems. HAIS 2008. Lecture Notes in Computer Science(), vol 5271. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-87656-4_52

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  • DOI: https://doi.org/10.1007/978-3-540-87656-4_52

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-87655-7

  • Online ISBN: 978-3-540-87656-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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