摘要
人类的视觉系统对图像边缘区域非常敏感,属于不同区域的像素在边缘位置处的相似性最低。为了体现多聚焦图像在成像方面的差异,突出不同图像中的聚焦景物,提出一种基于像素块灰度相似矩阵的自适应多聚焦图像融合方法。方法以像素块灰度相似矩阵及其偏差中值作为融合的分块及融合准则,即根据像素块的灰度相似性来对融合源图进行自适应分块并依据偏差中值对分块后的图像进行融合的方法。由实验、主观评价及客观评价(标准差、清晰度、最大偏差、空间频率)结果显示,该方法优于常规小波变换融合方法。
The human vision system is sensitive to the edge of image,and the pixel correlation on the edge of the different areas is lowest.Considering the imaging difference among multi-focus images and standing out the focus scenery in different images,a method of multi-focus image adaptive fusion using pixel gray correlated matrix is proposed.The method uses pixel block gray correlated matrix and its deviation median the criterion to adaptively divide blocks and to fuse images.The fused original images are adaptively divided into blocks based on the pixel block gray correlation,and the divided images are fused using the deviation median as fusing criterion.From the results of experiments,subjective and objective evaluation（standard deviation,definition,deviation maximum and spatial frequency）,the method is better than routine wavelet fusion method.
出处
《科学技术与工程》
北大核心
2013年第21期6124-6128,共5页
Science Technology and Engineering
基金
江苏高校优势学科建设工程资助项目
南京信息工程江苏省气象探测与信息处理重点实验室资助项目(KDXS201203)
南京大学计算机软件新技术国家重点实验室资助项目(KFKT2012B20)资助
关键词
灰度相似矩阵
偏差中值
自适应分块
多聚焦图像融合
gray correlated matrix deviation median adaptive dividing blocks multi-focus image fusion
