• Based on the characteristics and transform domain-based image registration algorithm.

    基于特征和基于变换域的图像配准算法。

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  • To test the inner surface of the artillery pipe, a new algorithm of image registration algorithm based on phase-correlation is proposed.

    针对火炮身管内膛图像特点,提出一种特征点稀少的火炮身管内膛图像拼接算法。

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  • In this thesis, we: Study a high-dynamic image registration algorithm (MTB algorithm) based on the rapid bit operation of computing binarization image.

    本论文中:研究了基于位操作运算的快速二值化的高动态图像配准算法(MTB算法)。

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  • In this image registration method, with the help of relaxation algorithm, matching precision is improved.

    在角点匹配过程中,采取了松弛算法来提高匹配精度,达到了好的配准效果。

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  • The techniques of digital image mosaics from video sequence consist of image global fast registration algorithm, motion object segment algorithm, and seamless blending algorithm.

    基于视频序列的数字图像拼接技术主要包括全局快速配准算法、运动目标分割算法和无缝融合算法。

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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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  • 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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  • In order to solve the problem of motion estimation for nonuniformity correction of infrared focal plane arrays, a new fast algorithm for image registration is presented.

    为了解决红外焦平面非均匀算法中出现的运动估值问题,提出了一种新的快速图像配准算法。

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  • This study focuses on applying registration algorithm as the key technology in navigation image based on the above issues.

    本文以上述问题为依据,围绕应用于图像导航的配准算法为关键技术展开研究。

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  • A product correlation algorithm of image registration based on feature and spatial-temporal correlation was presented.

    提出了基于特征和时空关联的积相关图像匹配算法。

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  • Based on the improved corner detection algorithm, an image automatic registration method combined corner detection and area-based matching was developed.

    在上述改进的角点检测算法基础上,本文提出了结合区域匹配的图像自动配准算法。

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  • Based on the idea that human observers could greatly simplify the matching problem at the level of object structure, a structure-driven SAR image automatic registration algorithm was proposed.

    基于人工通过地物结构推理匹配关系进行配准的想法,提出了一种基于结构的SAR图像自动配准算法。

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  • Aiming at the disadvantage of fuzzy image, by making some analysis about extracting edge feature based on fuzzy contrast enhancement algorithm, two images registration is achieved.

    针对模糊图像的弱点,分析了通过增强象素模糊属性对比度来提取边界特征的基本原理,实现了两幅图像的配准。

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  • In practice, the improved GEP algorithm is applied to function mining and image registration problems.

    在实践方面,将改进的GEP算法运用到函数挖掘和图像配准问题。

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  • In this paper, the algorithm adapted, in the repetitive texture, such as relatively large rotation more difficult to automatically match occasions can still achieve an accurate image registration.

    本文提出的算法适应性较强,在重复性纹理、旋转角度比较大等较难自动匹配场合下仍可以准确实现图像配准。

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  • Experimental results show that the algorithm for choosing a proper jumping rate outperforms the conventional differential evolution on the precision and the stability for medical image registration;

    并且线性递减跃变率的对等差异进化配准算法比固定对等跃变率和线性递增跃变率的配准更精确、更稳定。

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  • This paper approves a novel contour extraction algorithm of special region to resolve the problems in multi - mode medical image registration.

    提出了一种用于多模态医学图像处理的特定区域轮廓提取算法。

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  • A novel registration algorithm is presented for ct cerebrovascular medical image 3-d reconstruction based on the mutual location information of individual contours of the image set.

    在CT脑血管医学图像断层间三维重建图形配准中,提出了基于图像内部各个血管轮廓间相对位置信息的优化新算法。

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  • The experimental results show that the proposed algorithm can obtain more accurate results in comparison with the registration method based on LiDAR intensity image.

    通过与现有基于点云强度图的配准方法的对比实验表明,在低精度初始外方位元素的辅助下,本文方法能够达到较高的配准精度。

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  • The experimental results show that the proposed algorithm can obtain more accurate results in comparison with the registration method based on LiDAR intensity image.

    通过与现有基于点云强度图的配准方法的对比实验表明,在低精度初始外方位元素的辅助下,本文方法能够达到较高的配准精度。

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