• Medical image registration is one of the important techniques in the field of medical image processing. It also takes a more and more important role in clinical diagnosis and therapy.

    医学图像配准是医学图像处理领域中的一项重要技术,对临床诊断和治疗起着越来越重要的作用。

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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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  • 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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  • Mutual information-based image registration has been widely exploited due to its high-level automation and accuracy, especially in medical image registration.

    基于互信息的图像配准方法具有自动化程度高、配准精度高等优点,近年来在医学图像配准中得到广泛应用。

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  • Thermal wave image registration and mosaicing.

    热波图像的配准和拼接。

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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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  • 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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  • 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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  • 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 detection and extraction of feature points are the basis technology in image registration.

    二维特征点的检测和提取是进行图像配准的关键技术。

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  • A method integrating correlation registration and max-spectrum image registration is discussed.

    提出了一种将相关匹配和最大谱图像配准相结合的配准新方法。

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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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  • 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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  • This article proposes a pretreatment algorithm based on image registration and digital subtraction.

    论文提出了一种利用图像配准和数字差影的快速预处理算法。

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  • A new cross template was applied to the problem of image registration in digital subtraction angiography.

    提出一种基于十字模板的数字减影图像配准快速算法。

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  • A new approach for image registration is proposed based on alignment metric and fuzzy gradient similarity.

    提出一种基于对齐度和模糊梯度相似性的图像配准方法。

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  • Currently image registration technique can be divided into the handicraft technique and automatic technique.

    目前图像配准技术可分为手工配准和自动配准。

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  • In this paper, Hough transform and phase correlation was combined to solve the problem of image registration.

    本文结合霍夫变换和相位相关技术来处理图像配准问题。

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  • This paper introduces the method of image registration in computer assisted surgery of total knee replacement.

    介绍了计算机辅助全膝置换手术中图像配准方法。

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  • Selecting the characteristic points is one of the critical steps during the image registration for remote sensing.

    在遥感多图像配准过程中特征点的选择是一个关键的步骤。

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  • With the study of image registration recently, automatic registration of remote sensing image is becoming important.

    遥感图像的自动配准技术是目前图像配准研究的重点。

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  • The robustness of registration measures is one of the most frequently considered problems in image registration process.

    配准测度的鲁棒性是图像配准过程中经常要考虑的问题之一。

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  • Gives a new algorithm of medical image registration based on maximum of mutual information and edge correlative deviation.

    给出了一种基于最大互信息和边缘互方差的医学图像配准算法。

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  • METHODS a multimodality medical image registration method based on mutual information and simulated annealing was presented.

    方法提出了一种基于互信息和模拟退火算法的医学图像配准方法。

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  • A new method based on the edge curvature area extreme-value and the edge correlation for efficient image registration is proposed.

    提出了一种基于边缘曲率区域极值和边缘相关的图像配准方法。

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  • A new method based on the edge curvature area extreme-value and the edge correlation for efficient image registration is proposed.

    提出了一种基于边缘曲率区域极值和边缘相关的图像配准方法。

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