Now showing items 1-8 of 8

    • Bulanıklık tespiti birikimli olasılığına dayalı kızılötesi kamera otomatik odaklanması 

      Çakır, Serdar; Çetin, A. Enis (IEEE, 2014-04)
      Nesne iz ölçümü ve analizinde kızılötesi (KÖ) kameralar önemli bir rol oynamaktadır. Özellikle araştırma ve askeri amaçlı kullanılan bilimsel KÖ kameralarda odaklama el ile yapılmakta ve bu durum alınan ölçümün hassasiyet ...
    • Cepstral methods for image feature extraction 

      Çakır, Serdar (Bilkent University, 2010)
      Image feature extraction is one of the most vital tasks in computer vision and pattern recognition applications due to its importance in the preparation of data extracted from images. In this thesis, 2D cepstrum based ...
    • Contrast enhancement of microscopy images using image phase information 

      Çakır, Serdar; Kahraman, Deniz Cansen; Çetin-Atalay, Rengül; Çetin, A. Enis (Institute of Electrical and Electronics Engineers, 2018)
      Contrast enhancement is an important preprocessing step for the analysis of microscopy images. The main aim of contrast enhancement techniques is to increase the visibility of the cell structures and organelles by modifying ...
    • Contrast enhancement using phase transition information and total variation 

      Çakır, Serdar; Çetin, A.Enis (Institute of Electrical and Electronics Engineers, 2018)
      Contrast enhancement is an important preprocessing step for the analysis of images. The main aim of contrast enhancement techniques is to increase the visibility of the objects by modifying the spatial characteristics 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 ...
    • 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 ...
    • Phase-based techniques for image and video processing applications 

      Çakır, Serdar (Bilkent University, 2017-12)
      In this thesis, phase information is utilized to address several issues in image processing applications; namely image quality assessment, image contrast enhancement, and visual object tracking. The classical two-dimensional ...
    • 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 ...