Now showing items 1-5 of 5

    • Cepstrum based feature extraction method for fungus detection 

      Yorulmaz O.; Pearson, T.C.; Çetin, A.E. (2011)
      In this paper, a method for detection of popcorn kernels infected by a fungus is developed using image processing. The method is based on two dimensional (2D) mel and Mellin-cepstrum computation from popcorn kernel images. ...
    • Detection of fungal damaged popcorn using image property covariance features 

      Yorulmaz, O.; Pearson, T. C.; Çetin, A. (Elsevier, 2012)
      Covariance-matrix-based features were applied to the detection of popcorn infected by a fungus that causes a symptom called " blue-eye" . This infection of popcorn kernels causes economic losses due to the kernels' poor ...
    • Image feature extraction using 2D mel-cepstrum 

      Çakir, S.; Çetin, A.E. (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 ...
    • Mel-cepstral methods for image feature extraction 

      Çakir, S.; ÇEtin, A.E. (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 ...
    • Two-dimensional Mellin and mel-cepstrum for image feature extraction 

      Çakir, S.; Çetin, A.E. (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 ...