Now showing items 1-5 of 5

    • Image feature extraction using 2D mel-cepstrum 

      Çakır, Serdar; Çetin, A. Enis (IEEE, 2010)
      In this paper, a feature extraction method based on two-dimensional (2D) mel-cepstrum is introduced. Feature matrices resulting from the 2D mel-cepstrum, Fourier LDA approach and original image matrices are individually ...
    • Image feature extraction using compressive sensing 

      Eleyan, A.; Kose, K.; Cetin, A.E. (Springer Verlag, 2014)
      In this paper a new approach for image feature extraction is presented. We used the Compressive Sensing (CS) concept to generate the measurement matrix. The new measurement matrix is different from the measurement matrices ...
    • Mel-cepstral methods for image feature extraction 

      Çakır, Serdar; Çetin, A. Enis (IEEE, 2010)
      A feature extraction method based on two-dimensional (2D) mel-cepstrum is introduced. The concept of one-dimensional (1D) mel-cepstrum which is widely used in speech recognition is extended to 2D in this article. Feature ...
    • Multiplier free co-difference matrix for image and video processing 

      Çetin, A.E.; Duman, K.; Tuna H.; Eryildirim, A. (2009)
      In this paper, we propose a new image feature extraction method. We define a matrix called co-difference matrix for a given region. This matrix can be computed without performing any multiplications. The operator that we ...
    • Two-dimensional Mellin and mel-cepstrum for image feature extraction 

      Çakır, Serdar; Çetin, A. Enis (Springer, Dordrecht, 2010)
      An image feature extraction method based on two-dimensional (2D)Mellin cepstrum is introduced. The concept of one-dimensional (1D) melcepstrum which is widely used in speech recognition is extended to two-dimensions both ...