吉林大学学报(工学版) ›› 2015, Vol. 45 ›› Issue (6): 1994-1998.doi: 10.13229/j.cnki.jdxbgxb201506037

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Recognition of digital image based on wavelet space feature spectrum entropy

XIAO Zhong-jie1,2   

  1. 1.Department of Mathematics and Computer Science, Wuyi University, Wuyishan 354300, China;
    2.School of Astronautics, Beijing University of Aeronautics and Astronautics, Beijing 100191, China
  • Received:2014-01-08 Online:2015-11-01 Published:2015-11-01

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Abstract: The current recognition accuracy of digital image is lower. To overcome this problem, the method of image feature extraction based on wavelet space feature spectrum entropy is proposed. According to the principle that the energy is equal before and after the wavelet transform, the matrix of wavelet energy model is constructed. Then, the singular value decomposition of the matrix is performed. Finally, the feature spectrum entropy of the singular value is taken as the image feature. Experimental results show that the proposed image feature extraction method can obtain higher image recognition accuracy, and the effectiveness and practicality are proved.

Key words: image processing, digital image, feature extraction, wavelet transform, feature spectrum entropy

CLC Number: 

  • TP391
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