Research and Implementation of Image Correlation Matching Based on Evolutionary Algorithm

摘要：

An improved evolutionary algorithm is proposed; and then it is used to solve image correlation matching. It has some new features: 1) using multi-parent search strategy and stochastic ranking strategy, which can enhance the search ability and exploit the optimum offspring; 2) two mutation strategies are proposed: low probability mutation strategy for the early mutation; and high probability strategy for the late mutation to enhance the diversity of population, the experimental results demonstrate that the performance in this paper outperforms that of other evolutionary algorithms in terms of the quality of the final solution, its stability is better and its computational cost is lower than the cost required by the other techniques compared.

关键词： evolutionary algorithm image matching grayscale image correlation matching

作者: Li Juan Yan Jingfeng Guo Chaofeng

作者单位: School of Computer Science and Technology Xuchang University Xuchang, Henan, 461000, China

会议类型: 国际会议

会议名称: 2010 Second Asia-Pacific Conference on Information Processing(2010年第二届亚太地区信息处理国际会议 APCIP 2010)

会议地点: 南昌

会议语种:英文

页码: 88-90

在线出版日期: 2010-09-17（万方平台首次上网日期，不代表论文的发表时间）