摘要
提出了一种基于遗传搜索块的区域特征选择的图像融合算法。该方法首先根据分类结果对待融合的两幅图像进行自适应消噪处理分析,然后对处理后的图像进行小波分解。小波分解后的子图像应用遗传算法搜索最优图像子块(即区域)的大小,比较相应区域特征确定重构时小波系数,最后进行一致性检验。实验表明,该算法能够得到良好的融合效果,而且对于各种不同的源图像具有通用性,并用客观评价标准对算法进行了定量分析。
This paper puts forward an image fusion algorithm based on adaptive genetic search and the selection of region character.In this method,images involved in fusion are disposed by removing yawp according to the sorting,and then decomposed by wavelet transform.The following step is to search the optimization of the size of region,and the wavelet coefficient is fused according to region character.Finally,the fused image is reconstructed.The results show that this algorithm has good fusion effects and versatility.In the end,this algorithm is quantitatively analyzed by objective estimation standards.
出处
《计算机工程与应用》
CSCD
北大核心
2008年第9期193-196,共4页
Computer Engineering and Applications
基金
国家部委应用基础研究项目
关键词
图像融合
自适应
遗传算法
小波变换
image fusion
adaptive
genetie algorithm
wavelet transform
