Abstract
Aiming at image target recognition, a novel algorithm of Gabor wavelet neural network based on parallel structure is proposed in this paper, and the system of neural network for multi-target recognition is designed. Based on the characteristics of multi-CPU parallel structure and the parallel property of neural network, the algorithm of Gabor wavelet neural network is proved theoretically. The relevant algorithm structure is designed; the training and recognizing algorithms for image target recognition are given out. Finally, the simulation experiment for 4 types of plane targets indicated that recognition rate reached 98%+, recognizing time was 40ms.
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© 2006 Springer-Verlag Berlin Heidelberg
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Xu, T., Nie, Z., Yao, J., Ni, G. (2006). Research on Algorithms of Gabor Wavelet Neural Network Based on Parallel Structure. In: Shi, ZZ., Sadananda, R. (eds) Agent Computing and Multi-Agent Systems. PRIMA 2006. Lecture Notes in Computer Science(), vol 4088. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11802372_53
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DOI: https://doi.org/10.1007/11802372_53
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-36707-9
Online ISBN: 978-3-540-36860-1
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