Abstract
Current multi-sensor image fusion algorithms have difficulties working at many different scenes. In this paper, a cooperative fusion algorithm based on the grey correlation theory and automatic evaluation feedback is proposed in order to achieve better fusion results. A synergetic mechanism is introduced to adjust the algorithm parameters for better fusion results. Experiments show that the collaborative integration of the results is consistent with the subjective evaluation of human eyes.
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Acknowledgments
This work is supported by the National High-Tech Research and Development Program of China (863 Program)(SS2015AA010502), Shaanxi Provincial Natural Science Foundation (2013JM8027), the NPU Foundation for Fundamental Research (JC201148).
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© 2015 Springer International Publishing Switzerland
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Xi, R., Jin, L., Zhang, Y., Zhang, F., Yang, G., Ma, M. (2015). A Cooperative Fusion Method of Multi-sensor Image Based on Grey Relational Analysis. In: He, X., et al. Intelligence Science and Big Data Engineering. Image and Video Data Engineering. IScIDE 2015. Lecture Notes in Computer Science(), vol 9242. Springer, Cham. https://doi.org/10.1007/978-3-319-23989-7_38
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DOI: https://doi.org/10.1007/978-3-319-23989-7_38
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