A hybrid Particle Chemical Reaction Optimization for biological image matching based on lateral inhibition |
| |
| Authors: | Zenghu Zhang Haibin Duan |
| |
| Institution: | 1. School of Automation Science and Electrical Engineering, Beihang University (Formerly Beijing University of Aeronautics and Astronautics, BUAA), Beijing 100191, PR China;2. Science and Technology on Aircraft Control Laboratory, Beihang University, Beijing 100191, PR China |
| |
| Abstract: | In this paper, a hybrid Particle Chemical Reaction Optimization (PCRO) algorithm and lateral inhibition is proposed to solve the image matching problem. Lateral inhibition has the ability to enhance the characters of image, which can help to improve the accuracy of image matching. In order to overcome the shortcomings of basic Chemical Reaction Optimization (CRO) algorithm, we improve CRO by proposing PCRO which inspired from the thought of Particle Swarm Optimization (PSO). Comparative experimental results in image matching show that our proposed hybrid method performs much better than other bio-inspired algorithms. |
| |
| Keywords: | Chemical Reaction Optimization (CRO) Particle Swarm Optimization (PSO) Image matching Biological |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
