中南大学学报（自然科学版）2016，Vol.47Issue(11)：3721-3728,8.DOI:10.11817/j.issn.1672-7207.2016.11.015
基于区域特征的SCM多聚焦图像融合算法
Multi-focus image fusion based on regional characteristics of SCM
摘要
Abstract
Considering our eyes are very sensitive on regional characteristics, a new fusion algorithm which combines regional characteristics and adaptive SCM is proposed. And the new algorithm has two steps to fusing image. Firstly, comparing the regional characteristics of the two images, and fusing the best area and the same area. Then, the difference area of image will be fused by SCM model. And a fusion standard was proposed. In order to select parameters of the model to get a better fusion image, an optimization algorithm was adopted and some improvements will be make to enhance searching ability. At last, experimental results show that the method can provide a best fusion quality in visual sense than other contrast algorithm.关键词
多聚焦图像融合/脉冲发放皮层模型/区域特征/改进引力搜索算法Key words
multi-focus image fusion/spiking cortical model/regional characteristics/gravitational search algorithm分类
信息技术与安全科学引用本文复制引用
毕晓君,刁鹏飞,陈春雨..基于区域特征的SCM多聚焦图像融合算法[J].中南大学学报（自然科学版）,2016,47(11):3721-3728,8.基金项目
国家自然科学基金资助项目(61175126)；中央高校基本科研业务费专项资金项目(HEUCFZ1209)高等学校博士学科点专项(20112304110009)(Project(61175126) supported the National Natural Science Foundation of China （61175126）
Project(HEUCFZ1209) supported by the Fundamental Research Funds for the Central Universities （HEUCFZ1209）
Project(20112304110009) supported by the Special Scientific Research Foundation of the Doctoral Program of Higher Education) （20112304110009）
