Multimodal Image Alignment via Linear Mapping between Feature Modalities

We propose a novel landmark matching based method for aligning multimodal images, which is accomplished uniquely by resolving a linear mapping between different feature modalities. This linear mapping results in a new measurement on similarity of images captured from different modalities. In additio...

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Bibliographic Details
Main Authors: Yanyun Jiang, Yuanjie Zheng, Sujuan Hou, Yuchou Chang, James Gee
Format: Article
Language:English
Published: Hindawi Limited 2017-01-01
Series:Journal of Healthcare Engineering
Online Access:http://dx.doi.org/10.1155/2017/8625951
Description
Summary:We propose a novel landmark matching based method for aligning multimodal images, which is accomplished uniquely by resolving a linear mapping between different feature modalities. This linear mapping results in a new measurement on similarity of images captured from different modalities. In addition, our method simultaneously solves this linear mapping and the landmark correspondences by minimizing a convex quadratic function. Our method can estimate complex image relationship between different modalities and nonlinear nonrigid spatial transformations even in the presence of heavy noise, as shown in our experiments carried out by using a variety of image modalities.
ISSN:2040-2295
2040-2309