Browsing by Keywords "Feature extraction methods"

Now showing items 1-6 of 6

    • 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. ...

    • Çarpıcıdan bağımsız ortak fark matrisi kullanarak video ve görüntü işleme 

      Çetin, A. Enis; Duman, Kaan; Tuna, Hakan; Eryıldırım, Abdulkadir (IEEE, 2009-04)
      Bu bildiride gerçel sayılar üzerinde yarı grup kuran yeni bir iletmen tanımlayarak elde edilen bir bölge betimleyicisi ile hareketli obje takibi, yüz sezimi, plaka bulma, bölge betimleme için kullanılabilecek hızlı bir ...

    • Fall detection using single-tree complex wavelet transform 

      Yazar, A.; Keskin, F.; Töreyin, B. U.; Çetin, A. Enis (Elsevier, 2013)
      The goal of Ambient Assisted Living (AAL) research is to improve the quality of life of the elderly and handicapped people and help them maintain an independent lifestyle with the use of sensors, signal processing and ...

    • 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 ...

    • 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 ...

    • Time-scale wavelet scattering using hyperbolic tangent function for vessel sound classification 

      Can, Gökmen; Akbaş, Cem Emre; Çetin, A. Enis (IEEE, 2017-08-09)
      We introduce a time-frequency scattering method using hyperbolic tangent function for vessel sound classification. The sound data is wavelet transformed using a two channel filter-bank and filter-bank outputs are scattered ...