Artificial Bee Colony Approach to Parameters Optimization of Pulse Coupled Neural Networks

摘要：

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.

关键词： Artificial Bee Colony (ABC) Pulse Coupled Neural Networks (PCNN) image enhancement parameters optimization

作者: Kehan Gao Haibin Duan Yan Xu Yang Zhang Zhuoshu Li

作者单位: Science and Technology on Aircraft Control Laboratory,Beihang University,Beijing 100191, P R China Science and Technology on Aircraft Control Laboratory, Beihang University, Beijing 100191, P R China

会议类型: 国际会议

会议名称: IEEE 10th International Conference on Industrial Informatics(第十届IEEE工业信息学国际学术会议 INDIN2012)

会议地点: 北京

会议语种:英文

页码: 128-132

在线出版日期: 2012-07-25（万方平台首次上网日期，不代表论文的发表时间）