3-D spatio-temporal Gabor-type filter implementations with Time-Derivative Cellular Neural Networks
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Dosyalar
Tarih
2013
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
IEEE
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this paper, a 3-D spatio-temporal Gabor-type filter is implemented using Time-Derivative Cellular Neural Network (TDCNN) structure. To this end, the transfer function of the spatio-temporal filter previously constructed by cascading a CNN spatial filter with a temporal filter is shown to be made equal to that of a band-pass filter obtained using a TDCNN structure having first-order temporal derivative diffusion connections only. By equating the coefficients, we obtain the discrete-space Fourier transforms of the TDCNN templates of the Gabor-type band-pass filter. Taking the inverse Fourier transform yields the TDCNN templates. Simulation results are presented.
Açıklama
Anahtar Kelimeler
3-D Gabor-type filter, Spatio-temporal filter, TDCNN, Diffusion connections, Inverse Fourier transforms, Spatial filters, Temporal derivatives, Temporal filters, Bandpass filters, Cellular neural networks, Circuit theory, Fourier transforms, Gabor filters
Kaynak
2013 European Conference on Circuit Theory and Design, ECCTD 2013 - Proceedings
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
Sayı
Künye
Yavuz, O., Tural Polat, S. N., Cesur, E. & Tavşanoğlu, A. V. (2013). 3-D spatio-temporal gabor-type filter implementations with time-derivative cellular neural networks. Paper presented at the 2013 European Conference on Circuit Theory and Design, ECCTD 2013 - Proceedings, 1-4. doi:10.1109/ECCTD.2013.6662325
