A method of image feature extraction using wavelet transforms

  • Authors:

  • Minrong Zhao;Qiao Chai;Shanwen Zhang

  • Affiliations:

  • The Science Institute, Air-Force Engineering University, Sanyuan, P.R. China;The Science Institute, Air-Force Engineering University, Sanyuan, P.R. China;Faculty of Science, Zhongyuan University of Technology, Zhengzhou, P.R. China

  • Venue:
  • ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
  • Year:
  • 2009

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Abstract

Image feature extraction is crucial in image target recognition. This paper presents a method of image feature extraction by combining wavelet decomposition. The image is first decomposed by wavelet transforms, and the decomposed coefficients are reconstructed to form a new time series, from which some energy vector can be extracted by time-frequency domain analysis. By calculating correlation coefficients, it is possible to recognize whether target signal is involved or not in gained image. The effectiveness of the method is verified by a real image with additive simulated noise signal, especially under the condition of low SNR.