Elektrik - Elektronik Mühendisliği Bölümü Koleksiyonu
Permanent URI for this collectionhttps://gcris.khas.edu.tr/handle/20.500.12469/47
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Browsing Elektrik - Elektronik Mühendisliği Bölümü Koleksiyonu by Author "Akman, Emir Tufan"
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Conference Object Citation Count: 1Edge detection using steerable filters and CNN(European Signal Processing Conference EUSIPCO, 2002) Özmen, Atilla; Akman, Emir TufanThis paper proposes a new approach for edge detection using steerable filters and cellular neural networks (CNNs) where the former yields the local direction of dominant orientation and the latter provides iterative filtering. For this purpose steerable filter coefficients are used in CNN as a B template. The results are compared to the results where only CNN or steerable filters are used. As a result of this study the performance of the system can be improved since iterative filtering property of CNN and the ability of steerable filters for edge detection are used. © 2002 EUSIPCO.