Research on algorithms of gabor wavelet neural network based on parallel structure

  • Authors:

  • Tingfa Xu;Zefeng Nie;Jianmin Yao;Guoqiang Ni

  • Affiliations:

  • School of Information Science and Technology, Laboratory of Photoelectric Imaging and Information Engineering, Beijing Institute of Technology, Beijing, China;School of Information Science and Technology, Laboratory of Photoelectric Imaging and Information Engineering, Beijing Institute of Technology, Beijing, China;School of Information Science and Technology, Laboratory of Photoelectric Imaging and Information Engineering, Beijing Institute of Technology, Beijing, China;School of Information Science and Technology, Laboratory of Photoelectric Imaging and Information Engineering, Beijing Institute of Technology, Beijing, China

  • Venue:
  • PRIMA'06 Proceedings of the 9th Pacific Rim international conference on Agent Computing and Multi-Agent Systems
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

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.