Title :
Artificial Bee Colony approach to parameters optimization of Pulse Coupled Neural Networks
Author :
Gao, Kehan ; Duan, Haibin ; Xu, Yan ; Zhang, Yang ; Li, Zhuoshu
Author_Institution :
Sci. & Technol. on Aircraft Control Lab., Beihang Univ., Beijing, China
Abstract :
Artificial Bee Colony (ABC) algorithm is a kind of newly developed bio-inspired intelligence. In this paper, we conduct a investigation on bees´ behaviors when seeking for food, and a method for optimizing parameters has been developed. By using this algorithm, we can obtain the best solution to many problems. Pulse Coupled Neural Networks (PCNN) is a kind of algorithm widely used in image processing. The current model of PCNN has several shortcomings, such as losing basic details of the original images. ABC algorithm is adopted to search the best value of PCNN parameters. In this way, the image can be enhanced to the fullest extent. Experimental results verified the feasibility and effectiveness of our proposed approach.
Keywords :
image processing; neural nets; optimisation; ABC algorithm; artificial bee colony approach; bioinspired intelligence; image processing; parameters optimization; pulse coupled neural networks; Biological neural networks; Brain modeling; Educational institutions; Mathematical model; Neurons; Optimization; Signal processing algorithms; Artificial Bee Colony (ABC); Pulse Coupled Neural Networks (PCNN); image enhancement; parameters optimization;
Conference_Titel :
Industrial Informatics (INDIN), 2012 10th IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-0312-5
DOI :
10.1109/INDIN.2012.6301362
