Incorporation of Structural Tensor and Driving Force into Log-Demons for Large-Deformation Image Registration

Document Type

Article

Publication Date

12-1-2019

Abstract

Large-deformation image registration is important in theory and application in computer vision, but is a difficult task for non-rigid registration methods. In this paper, we propose a structural Tensor and Driving force-based Log-Demons algorithm for it, named TDLog-Demons for short. The structural tensor of an image is proposed to obtain a highly accurate deformation field. The driving force is proposed to solve the registration issue of large-deformation that often causes Log-Demons to trap into local minima. It is defined as a point correspondence obtained via multisupport-region-order-based gradient histogram descriptor matching on image's boundary points. It is integrated into an exponentially decreasing form with the velocity field of Log-Demons to move the points accurately and to speed up a registration process. Consequently, the driving force-based Log-Demons can well deal with large-deformation image registration. Extensive experiments demonstrate that the TDLog-Demons not only captures large deformations at a high accuracy but also yields a smooth deformation.

Identifier

85071900503 (Scopus)

Publication Title

IEEE Transactions on Image Processing

External Full Text Location

https://doi.org/10.1109/TIP.2019.2924168

e-ISSN

19410042

ISSN

10577149

PubMed ID

31251187

First Page

6091

Last Page

6102

Issue

12

Volume

28

Grant

19XD1434000

Fund Ref

Natural Science Foundation of Shanghai

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