Image matching as a diffusion process: an analogy with Maxwell's demons.
Image matching as a diffusion process: an analogy with Maxwell's demons.
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DOI：
10.1016/s1361-8415(98)80022-4
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发表时间：
1998-09-01
影响因子：
10.9
通讯作者：
Thirion, J P
中科院分区：
文献类型：
--
作者：
Thirion, J P
在本文中，我们提出了扩散模型的概念来执行图像到图像的匹配。有两个图像进行匹配，主要思想是考虑在一个图像中的对象边界作为半透膜，并让另一个图像，作为一个可变形的网格模型，通过这些接口扩散，位于膜内的效应器的动作。我们用麦克斯韦的恶魔来说明这个概念。我们表明，这个概念涉及到更传统的，基于吸引力，与一个中间步骤是光流技术。我们使用扩散模型的概念来推导三种不同的非刚性匹配算法，一种使用静态图像中的所有强度水平，一种仅使用轮廓点，最后一种在已经分割的图像上操作。最后，我们提出的结果与合成的变形和真实的医学图像，心脏运动跟踪和三维患者间的匹配应用。
In this paper, we present the concept of diffusing models to perform image-to-image matching. Having two images to match, the main idea is to consider the objects boundaries in one image as semi-permeable membranes and to let the other image, considered as a deformable grid model, diffuse through these interfaces, by the action of effectors situated within the membranes. We illustrate this concept by an analogy with Maxwell's demons. We show that this concept relates to more traditional ones, based on attraction, with an intermediate step being optical flow techniques. We use the concept of diffusing models to derive three different non-rigid matching algorithms, one using all the intensity levels in the static image, one using only contour points, and a last one operating on already segmented images. Finally, we present results with synthesized deformations and real medical images, with applications to heart motion tracking and three-dimensional inter-patients matching.