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thin plate spline(薄板样条)模型,将已知图像通过非刚性变换得到所需要的图像,在图像配准中非常有用。-thin plate spline (thin plate spline) model, will be known through non-rigid image transformation to be necessary by the images of image registration in very useful.
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图像变形,实现图像的刚体变换,不同于仿射变换和透射变换,不改变物体的刚体属性。-Image deformation- rigid transformation.
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这是完全用C++编程的图像拼接程序,在配准上能够很好的适应图像的刚性变换。-This is entirely in C++ programming, image stitching program, registration can be a good fit on the image of rigid transformation.
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基于互信息的刚性配准医学图像配准技术是今年来医学图像处理领域中的重要研究问题,推崇寻找某种适当的空间变换,使两幅图达到空间位置上的定位和配准,进而进行图像融合。医学图像配准在临床诊断、治疗、质量保证和疗效评价等方面具有重要的应用价值。-Mutual information-based rigid registration of medical image registration technology to medical image processing field this year, an
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图像配准算法,实现了刚体变换的图像配准算法,适合入门级初学者学习使用-Image registration algorithm to achieve a rigid transformation of the image registration algorithm, suitable for beginners to learn to use entry-level
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非刚体ICP变换,可以进行小范围的非刚体校正,融合。有中间计算过程,有实例数据-Non-rigid ICP transformation can be corrected small range of non-rigid fusion. Intermediate calculations, there are examples of data
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4帧图像刚性仿射变换,得到低分辨率图像,用IBP重建超分辨率图像(4 frame image rigid affine transformation, low resolution image, IBP reconstruction of super-resolution image)
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