• Thermal wave image registration and mosaicing.

    热波图像的配准和拼接。

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  • Image Registration is the basis of Image Fusion.

    图象配准是图象融合的基础。

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  • Interpolation is a key step of image registration.

    插值是图像配准中的一个重要步骤。

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  • IR warning system spatial filtering image registration.

    标签红外警戒系统空间滤波图像配准。

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  • Image registration is an important step in image fusion.

    图象配准的一个重要问题是多传感器获取的图象配准。

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  • The critical technique of image Mosaicing is image registration.

    图象拼接的关键技术就是图象配准。

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  • Much research has been made on feature based image registration.

    基于特征的图像配准方法,是研究较早较成熟的一种方法。

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  • The error has an effect on image registration and synthesizing .

    这些误差必然会影响图像配准、合成等。

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  • An image registration method based on edge features is presented.

    介绍了一种基于边缘特征的图像配准方法。

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  • Precision image registration is a prerequisite for quality inspection.

    高精度的图像配准是质量检测的前提。

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  • There are two categories of methods for image registration: rigid and elastic.

    图像的配准方法有多种,它们可以分为刚性和弹性配准两大类。

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  • Image registration is one of the crucial steps in the fusion processing of image.

    图像配准是信息融合处理中的重要环节。

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  • It is shown that the template based image registration is more stable and robust.

    实验表明模板法能够给出稳定的配准结果,从而能够保证配准的精度。

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  • Finally with the correct feature point matching for image registration implementation.

    最后用正确的特征点匹配对实现图像的配准。

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  • Finally, the potential application of active contour in image registration is discussed.

    最后展望了主动轮廓模型在图像对准中的应用。

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  • Medical image registration and fusion is an indispensable part of modern medical treatment.

    医学图像的配准与熔合是现代医疗中不可或缺的一部分。

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  • One challenging problem in image registration area is the registration of multi-sensor images.

    图象配准的一个重要问题是多传感器获取的图象配准。

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  • The medical image registration method based on mutual information has been widely used recently.

    基于互信息的医学图像配准算法近来获得了广泛的应用。

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  • Currently available image registration methods are not efficient for large rotation Angle image.

    针对这一问题,本文提出了一种带旋转角度估算的自适应图像配准方法。

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  • Mutual information has been widely used in image registration as an effective similarity measure.

    互信息是图像配准技术中广泛应用的一种相似性度量方法。

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  • The experiment shows that this method is fast and effective to deformed medical image registration.

    实验表明,本方法对具有形变的医学图像的配准是快速的、有效的。

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  • Experimental results show that the method can deal with similarity transform in image registration.

    实验结果表明:该方法能处理相似变换的图像配准。

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  • A new method for microscopic image Mosaic with computer image registration technique is introduced.

    作者提出了基于图象匹配的显微图象快速拼接的新方法。

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  • Multimodality medical image registration has important applications in clinical diagnosis and therapy planning.

    多模态医学图像的配准在医学诊断和治疗计划中起着重要的作用。

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  • A global optimization method based on mutual information is proposed for multimodality medical image registration.

    为了准确、可靠地配准多模态医学图像,提出了一种基于互信息的全局优化配准算法。

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  • A registration algorithm for noisy image is proposed in this paper.

    提出一种基于快速模拟退火的噪声图像配准算法。

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  • The registration image accords with projection model to ensure that the registration image is real.

    依据投影模型进行图像对齐,保证其真实性;

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  • The registration image accords with projection model to ensure that the registration image is real.

    依据投影模型进行图像对齐,保证其真实性;

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