3-D spatio-temporal Gabor-type filter implementations with Time-Derivative Cellular Neural Networks
dc.authorid | 0000-0003-4414-0163 | |
dc.authorid | 0000-0001-8590-1518 | |
dc.contributor.author | Yavuz, Oğuzhan | en_US |
dc.contributor.author | Tural Polat, Sadiye Nergis | en_US |
dc.contributor.author | Cesur, Evren | en_US |
dc.contributor.author | Tavşanoğlu, Ahmet Vedat | en_US |
dc.date.accessioned | 2019-08-31T12:10:23Z | |
dc.date.accessioned | 2019-08-05T16:04:56Z | |
dc.date.available | 2019-08-31T12:10:23Z | |
dc.date.available | 2019-08-05T16:04:56Z | |
dc.date.issued | 2013 | |
dc.department | Işık Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü | en_US |
dc.department | Işık University, Faculty of Engineering, Department of Electrical-Electronics Engineering | en_US |
dc.description.abstract | 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. | en_US |
dc.description.version | Publisher's Version | en_US |
dc.identifier.citation | 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 | en_US |
dc.identifier.doi | 10.1109/ECCTD.2013.6662325 | |
dc.identifier.endpage | 4 | |
dc.identifier.isbn | 9783000437854 | |
dc.identifier.scopus | 2-s2.0-84892641184 | |
dc.identifier.scopusquality | N/A | |
dc.identifier.startpage | 1 | |
dc.identifier.uri | https://hdl.handle.net/11729/1903 | |
dc.identifier.uri | https://dx.doi.org/10.1109/ECCTD.2013.6662325 | |
dc.indekslendigikaynak | Scopus | en_US |
dc.institutionauthor | Tavşanoğlu, Ahmet Vedat | en_US |
dc.institutionauthorid | 0000-0001-8590-1518 | |
dc.language.iso | en | en_US |
dc.peerreviewed | Yes | en_US |
dc.publicationstatus | Published | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartof | 2013 European Conference on Circuit Theory and Design, ECCTD 2013 - Proceedings | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | 3-D Gabor-type filter | en_US |
dc.subject | Spatio-temporal filter | en_US |
dc.subject | TDCNN | en_US |
dc.subject | Diffusion connections | en_US |
dc.subject | Inverse Fourier transforms | en_US |
dc.subject | Spatial filters | en_US |
dc.subject | Temporal derivatives | en_US |
dc.subject | Temporal filters | en_US |
dc.subject | Bandpass filters | en_US |
dc.subject | Cellular neural networks | en_US |
dc.subject | Circuit theory | en_US |
dc.subject | Fourier transforms | en_US |
dc.subject | Gabor filters | en_US |
dc.title | 3-D spatio-temporal Gabor-type filter implementations with Time-Derivative Cellular Neural Networks | en_US |
dc.type | Conference Object | en_US |
dspace.entity.type | Publication |
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