基于遗传算法和形态学运算的多焦点图像融合  

A Multi-focus Image Fusion Based on Region Detection Using Morphological and Genetic Algorithm

作　　者：吕英华[1] 刘大友[1] 冯雪[2] 孔俊[2] 郑凯元[2] 王茹娟[2] 

机构地区：[1]吉林大学计算机学院,长春130012 [2]东北师范大学计算机学院

出　　处：《计算机科学》2007年第12期233-237,共5页Computer Science

摘　　要：目前大多数图像融合算法将每个像素都独立对待,使像素之间关系割裂开来。本文提出了一种基于形态学算法和遗传算法的多焦点图像融合方法,此种方法有效地结合了像素级融合方法和特征级融合方法。其基本思想是先检测出原始图像中清晰聚焦的区域,再将这些区域提取出来,组成各部分都清晰聚焦的结果图像。实验结果证明,此方法优于Haar小波融合方法和形态学小波融合方法。特别是在原始图像没有完全配准的情况下,此种方法更为有效。For most image fusion algorithms split relationship among pixels and treat them more or less independently, this paper proposes a region based multi-focus image fusion scheme using wavelet transform, morphological and genetic algorithm, which combines aspects of feature and pixel-level fusion. The basic idea is to select sharply focused regions from source images and to combine them together to reconstruct the resultant image in which all the regions are properly focused. Experimental results demonstrate that the proposed scheme outperforms Haar wavelet approach and morphological wavelet approach, both in visual effect and objective evaluation criteria, particularly when there is movement in the objects or mis-registration of the source images.

关 键 词：多焦点图像融合 形态学运算 遗传算法 区域检测 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]