...on computed tomography, pet)图象上识别出更多的脑部布局和有帮助于x-刀疗治,制止对影像融合(co-registration or image fusion)的倚赖,minos你好ma等以ac-pc线为规范对脑pet图象的规范化举行了一系列研究
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文章最后对多源遥感影像数据融合进行了总结，说明了一些客观存在的问题与不足，并对影像融合进行展望。
At the last of this paper, it summarized the multi-source remote sensing image data fusion, and illustrated a number of objective problems and shortcomings, and then prospects for image fusion.
已有很多专家学者对影像融合方法做过研究，一般可在三个层次上进行融合，即像素级融合、特征级融合以及决策级融合。
There are many experts and scholars, have researched the image fusion methods. Generally. it can be fused at three levels: pixel level fusion, feature level fusion and decision level fusion.
该方法分析了局部影像统计特性，应用均值或均值—方差匹配正态函数，对要融合的两幅影像局部直方图进行匹配。
The proposed method analyses local image statistics and then matches the local histograms of two images to be fused by applying mean or mean variance matching normalization functions.
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