Image fusion is a research focus of medical image processing. Proper registrations were desired in clinical diagnoses and therapy to obtain complementary information from multi modality images.
医学图像融合是医学图像后处理的研究热点，它充分利用多模式图像，获得互补信息，使临床的诊断和治疗更加准确完善。
The redundant or complementary information of multisensor in space or time is used to detect and isolate the fault sensors.
利用多个传感器在空间或时间上的冗余或互补信息，为故障的检测和分离提供诊断依据。
The purpose of image fusion is to merge complementary information from multisensor data for visual perception, such as surveillance and reconnaissance.
图像融合的目的是把来自多传感器数据的互补信息合并形成一幅新的图像，以便更好地进行监视和侦察之类的视觉感知。
The purpose of image fusion is to merge complementary information from multi sensor data for visual perception so as to improve the visual perception of the image.
图像融合的目的是把来自多传感器的数据互补信息合并成一幅新的图像，以改善图像的视觉效果。
Because of a different imaging mechanism and highly complexity of body tissues and structures, different modality medical images provide non-overlay complementary information.
由于成像机理不同和人体组织结构的高度复杂性，不同模态的医学图像提供了不互相覆盖的结构互补信息。
The network structure of power plant sensors provides complementary information, redundant in space or time, which may be used for detecting faults in sensors and isolating them.
电厂传感器的网络结构提供了在空间或时间上的冗余或互补的信息，为传感器故障的检测和分离提供依据。
The network structure of power plant sensors provides complementary information, redundant in space or time, which may be used for detecting faults in sensors and isolating them.
电厂传感器的网络结构提供了在空间或时间上的冗余或互补的信息，为传感器故障的检测和分离提供依据。
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