A survey on the applications of artificial bee colony in signal, image, and video processing

AKAY B., KARABOĞA D.

SIGNAL IMAGE AND VIDEO PROCESSING, cilt.9, sa.4, ss.967-990, 2015 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 9 Sayı: 4
  • Basım Tarihi: 2015
  • Doi Numarası: 10.1007/s11760-015-0758-4
  • Dergi Adı: SIGNAL IMAGE AND VIDEO PROCESSING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.967-990
  • Anahtar Kelimeler: Artificial bee colony algorithm, Signal processing, Image processing, Video processing, TRANSCRANIAL DOPPLER SIGNAL, EFFICIENT ALGORITHM, EDGE-DETECTION, OPTIMIZATION, SEGMENTATION, CLASSIFICATION, SELECTION, RECOGNITION, REDUCTION, POWERFUL
  • Erciyes Üniversitesi Adresli: Evet

Özet

Artificial bee colony (ABC) algorithm is a swarm intelligence algorithm, which simulates the foraging behavior of honeybees. It has been successfully applied to many optimization problems in different areas. Since 2009, ABC algorithm has been employed for various problems in signal, image, and video processing fields. This paper presents the problems ABC algorithm has been applied in these fields and describes how ABC algorithm was used in the approaches for solving these kinds of problems.