Now showing items 1-4 of 4

    • Çizge kesit yöntemi ile hiperspektral görüntülerde anomali tabanlı hedef tespiti 

      Batı, E.; Erdinç, Acar; Çeşmeci, D.; Çalışkan, A.; Koz, A.; Aksoy, Selim; Ertürk, S.; Alatan, A. A. (IEEE, 2015-05)
      Hiperspektral hedef tespiti için yürütülen çalışmalar genel olarak iki sınıfta degerlendirilebilir. İlk sınıf olan anomali tespit yöntemlerinde, hedefin görüntünün geri kalanından farklı oldugu bilgisi kullanılarak görüntü ...
    • Fast insect damage detection in wheat kernels using transmittance images 

      Çataltepe, Z.; Pearson, T.; Cetin, A. Enis (IEEE, 2004-07)
      We used transmittance images and different learning algorithms to classify insect damaged and un-damaged wheat kernels. Using the histogram of the pixels of the wheat images as the feature, and the linear model as the ...
    • Real time noise-cancellation using ICA, PSO and PE 

      Bor, R. İrem; Ider, Y. Ziya; Arıkan, Orhan; Ertan, Erdem (IEEE, 2012)
      In order to provide noiseless transmission of speech in wireless communication systems a real-time implementable noise cancellation algorithm is developed. Speech and noise sources are not known but only their mixtures are ...
    • Sparse binarised statistical dynamic features for spatio-temporal texture analysis 

      Arashloo, Shervin Rahimzadeh (Springer, 2019)
      The paper presents a new spatio-temporal learning-based descriptor called binarised statistical dynamic features (BSDF) for representation and classification of dynamic texture. The BSDF descriptor operates by applying ...