Global Volumetric Image Registration Using Local Linear Property of Image Manifold
Global Volumetric Image Registration Using Local Linear Property of Image Manifold
复制标题
使用图像流形的局部线性特性进行全局体积图像配准
DOI：
10.1007/978-3-319-16628-5_18
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
Tomoya Sakai
中科院分区：
文献类型：
--
作者：
Hayato Itoh;Atsushi Imiya;Tomoya Sakai
提出了一种稀疏字典的三维全局图像配准方法。为了实现基于模板匹配的鲁棒准确配准，需要准备大量变换后的图像并存储在字典中。为了降低该图像字典的空间复杂性，我们引入了一种从存储在图像字典中的图像集合中生成新模板图像的方法。生成的模板图像允许我们实现精确的图像配准，即使图像字典的填充相对较小，模板具有较小的模式扰动。为了进一步降低复杂度，我们在一个随机投影的低维欧氏空间中计算匹配过程。
We propose a three-dimensional global image registration method for a sparse dictionary. To achieve robust and accurate registration, which based on template matching, a large number of transformed images are prepared and stored in the dictionary. To reduce the spatial complexity of this image dictionary, we introduce a method of generating a new template image from a collection of images stored in the image dictionary. This generated template image allows us to achieve accurate image registration even if the population of the image dictionary is relatively small and the template has a small pattern perturbation. To further reduce the complexity, we compute a matching process in a low-dimensional Euclidean space projected by a random projection.