Efficient edge detection in digital images using a cellular neural network optimized by differential evolution algorithm

Bastuerk A., Guenay E.

EXPERT SYSTEMS WITH APPLICATIONS, cilt.36, sa.2, ss.2645-2650, 2009 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 36 Sayı: 2
  • Basım Tarihi: 2009
  • Doi Numarası: 10.1016/j.eswa.2008.01.082
  • Dergi Adı: EXPERT SYSTEMS WITH APPLICATIONS
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.2645-2650
  • Anahtar Kelimeler: Cellular neural networks, Cloning template, Differential evolution algorithm, Edge detection, TEMPLATE, NOISY
  • Erciyes Üniversitesi Adresli: Evet

Özet

A cellular neural network (CNN) based edge detector optimized by differential evolution (DE) algorithm is presented. Cloning template of the proposed CNN is adaptively tuned by using simple training images. The performance of the proposed edge detector is evaluated on different test images and compared with popular edge detectors from the literature. Simulation results indicate that the proposed CNN operator outperforms competing edge detectors and offers Superior performance in edge detection in digital images. (C) 2008 Elsevier Ltd. All rights reserved.