Browsing by Keywords "Cepstrum"

Now showing items 1-9 of 9

    • 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. ...

    • Cepstrum based method for moving shadow detection in video 

      Cogun, Fuat; Çetin, A. Enis (Springer, 2010-09)
      Moving shadows constitute problems in various applications such as image segmentation and object tracking. Main cause of these problems is the misclassification of the shadow pixels as target pixels. Therefore, the use of ...

    • 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 ...

    • Man-made object classification in SAR images using 2-D cepstrum 

      Eryildirim, A.; Çetin, A. Enis (IEEE, 2009-05)
      In this paper, a novel descriptive feature parameter extraction method from Synthetic Aperture Radar (SAR) images is proposed. The new method is based on the two-dimensional (2-D) real cepstrum. This novel 2-D cepstrum ...

    • 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 ...

    • Moving shadow detection in video using cepstrum 

      Cogun, F.; Çetin, A. Enis (SAGE, 2013)
      Moving shadows constitute problems in various applications such as image segmentation and object tracking. The main cause of these problems is the misclassification of the shadow pixels as target pixels. Therefore, the use ...

    • Object tracking under illumination variations using 2D-cepstrum characteristics of the target 

      Cogun, Fuat; Çetin, A. Enis (IEEE, 2010)
      Most video processing applications require object tracking as it is the base operation for real-time implementations such as surveillance, monitoring and video compression. Therefore, accurate tracking of an object under ...

    • Shadow detection using 2D cepstrum 

      Töreyin, B. Uğur; Çetin, A. Enis (SPIE, 2009-04)
      Shadows constitute a problem in many moving object detection and tracking algorithms in video. Usually, moving shadow regions lead to larger regions for detected objects. Shadow pixels have almost the same chromaticity as ...

    • 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 ...