Processing Large-Scale Images on Ace16k Using Discrete Wavelet Transform

SEVGEN S.

ISTANBUL UNIVERSITY-JOURNAL OF ELECTRICAL AND ELECTRONICS ENGINEERING, cilt.11, sa.2, ss.1375-1378, 2011 (ESCI, Scopus, TRDizin) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 11 Sayı: 2
  • Basım Tarihi: 2011
  • Dergi Adı: ISTANBUL UNIVERSITY-JOURNAL OF ELECTRICAL AND ELECTRONICS ENGINEERING
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus, TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.1375-1378
  • İstanbul Üniversitesi-Cerrahpaşa Adresli: Hayır

Özet

Image processing has crucial effects in many fields like biomedical applications, traffic control, security, satellite systems and so on. Because of its improving importance, various methods are proposed for increasing computation speed and reliability. Cellular Neural Networks - Universal Machine (CNN-UM) is a promising hardware implementation for generating rapid results. In this study, we have implemented discrete wavelet transform (DWT) on input images in order to improve accuracy of edge detection applications on ACE16k which is one of the analog processors handling 128x128 images. Besides, DWT gave us an opportunity to process large-scale images. At the end of the study it is shown that DWT provides appreciable contribution to edge detection results.