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

被引：98

作者：

Akay, Bahriye ^{[1
]}

Karaboga, Dervis ^{[1
]}

机构：

[1] Erciyes Univ, Dept Comp Engn, TR-38039 Kayseri, Turkey

来源：

SIGNAL IMAGE AND VIDEO PROCESSING | 2015年 / 9卷 / 04期

关键词：

Artificial bee colony algorithm; Signal processing; Image processing; Video processing; TRANSCRANIAL DOPPLER SIGNAL; EFFICIENT ALGORITHM; EDGE-DETECTION; OPTIMIZATION; SEGMENTATION; CLASSIFICATION; SELECTION; RECOGNITION; REDUCTION; POWERFUL;

D O I：

10.1007/s11760-015-0758-4

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

080906 [电磁信息功能材料与结构]; 082806 [农业信息与电气工程];

摘要：

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.

引用

页码：967 / 990

页数：24

共 154 条

[1]

Adlin Sharo T, 2013, Int J Comput Eng Res, V3, P356

[2]

Adaptive filtering of EEG/ERP through Bounded Range Artificial Bee Colony (BR-ABC) algorithm [J].