吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (增刊1): 47-50.

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Automatic synthetic registration method based on substation multi-modal images

XIA Ying-jie1,2, LI Jin-ping1,2, CHEN Rui3   

  1. 1. School of Information Science and Engineering, University of Jinan, Jinan 250022, China;
    2. Shandong Provincial Key Laboratory of Network based Intelligent Computing, University of Jinan, Jinan 250022, China;
    3. Simulation and Information Center, The 53RD Research Institute of China North Industries Group Corporation, Jinan 250032, China
  • Received:2012-05-25 Published:2013-06-01

Abstract:

An improved automatic synthetic registration method for substation multi-modal images is proposed.Two multi-modal images were different sizes,so wavelet transform was done.And the results were prepared for registration.In order to search the best registration position of two multi-modal images,genetic algorithm was used in the method.And one of the six methods was the fitness function of genetic algorithm in each search.Then six results were obtained for original images,and were integrated based on dynamic credibility.It is proved that automatic registration for multi-modal images of different sizes can be realized.This method is high speed and robustness,and it is more accurate than any single registration method.Besides,the credibility can be corrected dynamically.It has strong adaptability.

Key words: multi-modal image registration, wavelet transform, dynamic credibility, synthetic registration method

CLC Number: 

  • TP751.1

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