Now showing items 1-5 of 5

    • Cepstrum based feature extraction method for fungus detection 

      Yorulmaz, Onur; Pearson, T.C.; Çetin, A. Enis (SPIE, 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. ...
    • Image quality assessment using two-dimensional complex mel-cepstrum 

      Cakir, S.; Çetin, A. Enis (SPIE, 2016)
      Assessment of visual quality plays a crucial role in modeling, implementation, and optimization of image-and video-processing applications. The image quality assessment (IQA) techniques basically extract features from the ...
    • Mel-and Mellin-cepstral feature extraction algorithms for face recognition 

      Cakir, S.; Çetin, A. Enis (Oxford University Press, 2011-01-17)
      In this article, an image feature extraction method based on two-dimensional (2D) Mellin cepstrum is introduced. The concept of one-dimensional (1D) mel-cepstrum that is widely used in speech recognition is extended to ...
    • Mel-cepstral feature extraction methods for image representation 

      Çakir, S.; Çetin, A. Enis (S P I E - International Society for Optical Engineering, 2010-15-09)
      An image feature extraction method based on the twodimensional (2-D) mel cepstrum is introduced. The concept of onedimensional mel cepstrum, which is widely used in speech recognition, is extended to 2-D in this article. ...
    • 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 ...