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


AKAY B. , KARABOĞA D.

SIGNAL IMAGE AND VIDEO PROCESSING, vol.9, no.4, pp.967-990, 2015 (Journal Indexed in SCI) identifier identifier

  • Publication Type: Article / Article
  • Volume: 9 Issue: 4
  • Publication Date: 2015
  • Doi Number: 10.1007/s11760-015-0758-4
  • Title of Journal : SIGNAL IMAGE AND VIDEO PROCESSING
  • Page Numbers: pp.967-990
  • Keywords: Artificial bee colony algorithm, Signal processing, Image processing, Video processing, TRANSCRANIAL DOPPLER SIGNAL, EFFICIENT ALGORITHM, EDGE-DETECTION, OPTIMIZATION, SEGMENTATION, CLASSIFICATION, SELECTION, RECOGNITION, REDUCTION, POWERFUL

Abstract

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.